[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN104661241B - A kind of cell dormancy decision-making technique, realization method and system - Google Patents

A kind of cell dormancy decision-making technique, realization method and system Download PDF

Info

Publication number
CN104661241B
CN104661241B CN201510003755.1A CN201510003755A CN104661241B CN 104661241 B CN104661241 B CN 104661241B CN 201510003755 A CN201510003755 A CN 201510003755A CN 104661241 B CN104661241 B CN 104661241B
Authority
CN
China
Prior art keywords
cell
dormancy
time point
decision
load
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510003755.1A
Other languages
Chinese (zh)
Other versions
CN104661241A (en
Inventor
刘畅
田霖
周青
周一青
石晶林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute of Computing Technology of CAS
Original Assignee
Institute of Computing Technology of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institute of Computing Technology of CAS filed Critical Institute of Computing Technology of CAS
Priority to CN201510003755.1A priority Critical patent/CN104661241B/en
Publication of CN104661241A publication Critical patent/CN104661241A/en
Application granted granted Critical
Publication of CN104661241B publication Critical patent/CN104661241B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/30—Connection release
    • H04W76/38—Connection release triggered by timers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/20—Manipulation of established connections
    • H04W76/27—Transitions between radio resource control [RRC] states
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The present invention provides a kind of cell dormancy decision-making technique, realization method and system.Wherein, cell dormancy decision-making technique includes：For the set that each base station adjacent by geographical location is formed, when reaching dormancy decision-making time point, the dormancy index of each cell in the set is calculated, the wherein dormancy index of cell is related to the present load of the cell and load variation tendency；And the dormancy index according to each cell in the set, determine the cell state to be entered.The present invention is while effects of energy saving and emission reduction caused by cell dormancy is realized, simplify the process of dormancy decision-making and dormancy information interaction, improve the time granularity of dormancy period, reduce the frequent decision-making of system, antenna frequently adjusts and the problem of user's frequent switching, the stability of system is ensured, the expense that dormancy judgement is brought is reduced, the life cycle of the network equipment is improved, and ensure that good user experience.

Description

Cell dormancy decision method, implementation method and system
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a cell dormancy decision method, an implementation method, and a system.
Background
The cell dormancy technology is a method for dynamically adjusting the switch of a cell base station according to the change of cell load, thereby achieving the purposes of saving energy, reducing emission and improving the resource utilization rate. The method for realizing the cell dormancy technology comprises the following steps: by monitoring the cell load, when the load is lower than a preset threshold value, the cell enters a dormant state, all cells adjacent to the cell judge whether the dormant cell can be compensated and covered according to the load or the resource allowance of the cells, and a cell base station capable of compensating and covering selects to compensate users in the coverage area of the dormant base station independently or cooperatively; meanwhile, when the load of the dormant cell is higher than the dormant threshold value, the dormant cell cancels the dormant state, and at the moment, the cell base station which performs compensation coverage cancels the compensation coverage.
The existing cell dormancy detection and decision method often depends excessively on statistics and analysis of cell load capacity at a certain time or a period of time before the certain time, and the statistics value influences the decision method of the corresponding dormancy decision time. However, in a real communication network, the load of the base station changes according to time and shows a certain regularity macroscopically, so that the method for detecting and deciding based on the load can only obtain an optimal solution at the decision time, but ignores the problem that the load changes along with time. The stability of the whole network is guaranteed based on the dormancy technology, if the dormancy detection and decision are carried out according to the current load quantity according to the existing method, the time granularity of the dormancy period is small, the calculated quantity and the memory space brought by the dormancy detection and decision are too large, and huge system overhead and burden are brought, on the other hand, the frequent switching of a base station, the frequent adjustment of an antenna and the frequent switching of a user are also caused, the life cycle of network equipment is not facilitated, and the user experience is greatly influenced.
In addition, most of the current research is based on a distributed interaction mode of base stations in a cellular network, each base station needs to perform dormancy detection periodically, then whether dormancy is needed is judged according to a dormancy detection result of the base station, if dormancy is needed, the base station needs to send a request to all adjacent base stations, the base station receiving the request judges whether the dormancy request of the dormant base station can be met according to the resource allowance and the load capacity of the base station, then all base stations adjacent to the dormant base station return a request result, whether the dormant base station agrees to the dormancy request is replied, next, the dormant base station decides a pairing mode of dormancy and compensation (cooperative compensation of a plurality of base stations or single compensation of one base station) according to the received reply information, and after the decision is completed, the dormant base station needs to interact dormancy information (dormancy time point, load capacity, user distribution and the like) with the paired base stations and sends unpaired information to the base stations, so that a dormancy process can be completed. It can be seen that the distributed interaction mode is very complex and tedious, is not beneficial to implementation, and brings very large system overhead.
Disclosure of Invention
To solve the above problem, according to an embodiment of the present invention, a cell dormancy decision method is provided, including:
step 1), for each set formed by base stations adjacent to the geographic position, when a dormancy decision time point is reached, calculating the dormancy index of each cell in the set; the dormancy indicator of the cell is related to the current load and the load change trend of the cell;
and 2) determining the state to be entered by each cell according to the dormancy index of each cell in the set.
In the above method, the dormancy indicator of the cell is also related to the burstiness of the service. The dormancy indicator of the cell is expressed as follows:
SLI u,i,t ＝α·BSLT u,i,t +β·BSCL u,i,t +RI u
wherein, SLI u,i,t A dormancy indicator representing a cell i in the set u at a dormancy decision time point t; BSLT u,i,t Representing the load change trend of the cell i at the dormancy decision time point t; BSCL u,i,t Represents the load of the cell i at the dormancy decision time point t; RI (Ri) u Burst traffic parameter for set u; alpha and beta are addition coefficients, respectively.
In the above method, the sleep decision time point is a subset of interaction time points in a time period within a period of a predetermined length; one cycle is composed of a plurality of time segments with equal length, and the interaction time points in each time segment are equally spaced.
In the above method, the sleep decision time point t in the d-th period within the s-th cycle n The load variation trend of cell i in set u is expressed as follows:
wherein N is T = s-1-k, representing the number of reference investigation cycles (i.e. starting from the k-th cycle and ending with the s-1 th cycle, where k is<s-1)；t m Represents t n The next sleep decision time point later;represents a point of time T in a d-th period within the T-th cycle n The load of cell i in set u.
In the above method, the sleep decision time point t in the d-th period within the s-th cycle n The burst traffic parameters of set u are expressed as follows:
wherein, C STATS Denotes a time point t in a d-th period within the k-th to s-1 th cycles n To t m All interaction time points of (c), cell load mean value in set u, t m Represents t n The next sleep decision time point later; c SYS Representing the capacity of the set u.
In the above process, C STATS Is represented as follows:
wherein N is T ＝s-1-k；N CELL Representing the number of base stations in the set u; n is a radical of EPIT = m-n, n-th interaction time point corresponds to t n The mth interaction time point corresponds to t m ；BSCL u,i,T,d,t Represents the load of the cell i in the set u at the interaction time point T in the d-th time period within the T-th period.
As described aboveIn the process, C SYS Is represented as follows:
C SYS ＝λ·N ON
wherein λ represents the upper capacity limit of each base station; n is a radical of ON Is shown at a point in time t n To t m The number of base stations open in between.
In the above method, the sleep decision time point of the set u in the d-th time period in the s-th cycle is obtained according to the following steps:
step a), for the interaction time point t in the d time period in the s period n The rate of change of load for each cell in the set u is calculated according to:
wherein i represents a cell i; n is a radical of hydrogen T ＝s-1-k；Represents a point of time T in a d-th period within the T-th cycle n The load of cell i in set u; t is t n-1 Represents t n The previous interaction time point of (c);
step b), obtaining the load change rate index value of each cell according to the following formula:
or
Wherein, K LCR Is a predetermined threshold value;
step c), calculating the load change rate of the set u according to the following formula:
wherein N is CELL Representing the number of base stations in the set u;
step d), if the load change rate of the set u is larger than a preset threshold value, the interaction time point t is n A sleep decision time point.
In the above method, step 2) includes:
if the dormancy index of the cell is less than or equal to a first threshold value, the cell enters a dormancy request state;
if the dormancy index of the cell is larger than the first threshold value and smaller than or equal to the second threshold value, the cell enters a state of requesting single-station compensation and multi-station compensation;
if the dormancy index of the cell is larger than the second threshold and smaller than or equal to a third threshold, the cell enters a state of requesting single station compensation;
if the dormancy index of the cell is larger than the third threshold and smaller than or equal to the fourth threshold, the cell enters a state of requesting multi-station compensation single station;
and if the dormancy index of the cell is larger than the fourth threshold value, the cell enters a state of requesting to keep normal coverage.
In the above method, step 2) further includes:
and obtaining a dormancy and compensation combination mode in the set between the current dormancy decision time point and the next dormancy decision time point according to the state to be entered by each cell in the set.
According to an embodiment of the present invention, there is also provided a method for implementing cell dormancy, including:
step A), adopting the cell dormancy decision method to make cell dormancy decision, and informing the base station corresponding to the cell of the dormancy related information;
step B), context services of related users are interacted between the base stations;
and step C), at the time point of executing the dormancy, the dormant base station enters the dormancy and the compensation coverage base station covers the dormant base station.
According to an embodiment of the present invention, there is also provided a cell dormancy system, including:
a set of geographically adjacent base stations; and
and the base station dormancy manager related to the set is used for determining the state of the cell to be entered according to the cell dormancy decision method when the dormancy decision time point is reached.
In the above system, each base station in the set is configured to report a current cell load to the corresponding base station dormancy manager at each interaction time point.
In the system, the base station dormancy manager counts and stores the current cell load reported by the base station.
The invention simplifies the processes of dormancy decision and dormancy information interaction while realizing the energy-saving and emission-reducing effects brought by cell dormancy, improves the time granularity of the dormancy period, reduces the problems of frequent decision of the system, frequent adjustment of the antenna and frequent switching of users, ensures the stability of the system, reduces the overhead brought by dormancy decision, improves the life cycle of network equipment and ensures good user experience.
Drawings
Embodiments of the invention are further described below with reference to the accompanying drawings, in which:
fig. 1 is a flow diagram of a cell dormancy decision and implementation method according to one embodiment of the invention;
fig. 2 is a diagram illustrating a cell sleep decision for a next sleep execution period according to an embodiment of the present invention;
fig. 3 is a diagram illustrating a method for implementing cell dormancy according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating a compensating base station performing compensating coverage in accordance with one embodiment of the present invention;
fig. 5 is a schematic diagram of base station and BSSM interaction in accordance with one embodiment of the present invention;
fig. 6 is a schematic diagram of a cell dormancy implementation system implementing cell dormancy and compensating coverage according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail by embodiments with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
According to one embodiment of the invention, a cell dormancy decision method is provided.
In summary, the method comprises: for each set formed by base stations adjacent to the geographical position, when a dormancy decision time point is reached, calculating a dormancy index of each cell in the set, wherein the dormancy index of the cell is related to the current load and the load change trend of the cell; and determining the state to be entered by each cell according to the dormancy indicator of the cell in the set.
Referring now to fig. 1, the various steps of the method are described in detail. It should be noted that the steps of the method described in the specification are not necessarily required, and one or more of the steps may be omitted or replaced according to actual situations.
The first step is as follows: designing sleep decision time points
First, a Cell Sleep Reference Model (CSRM) is described. CSRM is studied for each dormant cell management Set (SMS), wherein an SMS is composed of several geographically adjacent base stations together. The CSRM is one Sleep Research Cycle (SRC) with a time interval of a predetermined length, preferably one SRC with one week (including seven days); a Time period obtained by uniformly dividing the SRC is used as a basic Sleep study Time Unit (Sleep Research Unit of Time, SRUT), preferably, SRUT is one day; and, in the SRUT, every fixed Time period is an Exchange Point-In-Time (EPIT), and the current of each cell is recorded In each EPITThe Load value (BSCL), which is denoted as T EPIT . Thus, in embodiments where SRUT is one day, there will be 24/T per day starting at 00 in the morning EPIT And EPIT. Let T be EPIT =0.5h, 48 EPITs per day; let T be EPIT And if the time is not less than 1h, 24 EPITs are available each day.
A dormancy Decision Time Point (DPIT) is a Time Point at which a Decision is made for cell dormancy, and is a subset of the EPIT. The time Period between two consecutive DPIT is called a Sleep Operation Period (SOP). In summary, the number of SRCs N set according to CSRM T And calculating corresponding load change curves to design the DPIT and the SOP. This design will be described in detail below.
In the reference model CSRM, a threshold of Load Change Rate (LCR) is preset to K LCR And is used to indicate load variation. As described above, the Current Load value (BSCL) of each cell is recorded at each EPIT. If the subject is the s-th dormant study period (i.e., T) s ) The d-th dormancy study time unit (i.e., SRUT) d ) Assume that the referenced sleep study period is from the kth sleep study period (i.e., T) k ) At the beginning, the number of reference study periods is N T And (c) = s-1-k. At the point of interaction time t n (the previous interaction time point is t) n-1 ) Dormant cell management set u (i.e. SMS) u Cell i (i.e. Cell) in Cell set u for short u,i ) LCR of (a) is calculated as follows:
wherein,representing the point in time T in the d-th period of time within the T-th cycle n The load of cell i in set u. After obtaining the corresponding LCR value, the threshold value K can be combined LCR And (4) judging:
1) When it comes toWhen the representative Load has a large variation, the Load Change Rate Index (LCRI) is recorded as 1, that is, the Load Change Rate Index (LCRI) is recorded as
2) When inWhen the variation of the representative load is small, the corresponding LCRI is recorded as 0, i.e. the load is small
At this time, it is assumed that dormant cell management set SMS u Has N within CELL The cell, therefore, may obtain the Load Change Rate (SLCR) of the Set as:
after the SLCR values corresponding to the sets are obtained, a preset threshold value K can be combined SLCR The following determinations are made:
1) When inWhen the load change rate representing the whole set is larger, the interaction time point t is set n Recording as a dormancy decision time point DPIT;
2) When inWhen the load change rate representing the whole set is small, the interaction time point t is not recorded n 。
When all the DPIT is determined, a period between two consecutive DPIT is referred to as a sleep execution period SOP.
In this step, the design of the cell dormancy reference model includes defining a dormancy research period, a research time unit, an interaction time point, and the like, so that indexes (such as dormancy decision time point) such as dormancy period granularity of the corresponding research unit in the current research period can be designed based on statistics and analysis of the load amount of the corresponding research time unit in the previous research period, thereby reducing the frequency of dormancy and the overhead of the system, and improving the stability of the system and the user experience.
The second step is that: when the dormancy decision time point is reached, making decision for cell dormancy in next dormancy execution period
In this step, when the DPIT is reached, a decision is made on a combination of cell dormancy and compensation coverage in the next SOP according to a cell dormancy Indicator (SLI) of all cells in the dormant cell management set.
In one embodiment, SLI takes into account current load and load variation trends. For example, SLI values include a cell Load Trend analysis value (BSLT) and a BSCL value. In another embodiment, the SLI value is formed by the sum of BSLT and BSCL plus a burst traffic parameter (RI). For example, in dormant cell management set u (SMS) u ) A certain sleep decision time point t (i.e., DPIT) u,t ) Aggregated SMS u Cell i (i.e., cell) in (1) u,i ) The SLI value calculation formula is as follows:
SLI u,i,t ＝α·BSLT u,i,t +β·BSCL u,i,t +RI u (3)
wherein, alpha and beta are respectively addition coefficients corresponding to BSLT and BSCL, RI u Representing dormant set SMS u Corresponding burst traffic parameters. The SLI value is calculated by combining the current load of the cell, the load change trend and the burst service parameter, so that a more comprehensive numerical basis can be provided for the cell dormancy decision, the decision frequency of the system in the time-varying environment of the service is reduced, and the stability of the system is improved.
In one embodiment, cell load trendsThe analysis value BSLT is obtained from the load value changes before and after the corresponding SOP in the corresponding SRUT of the previous SRC. By comparing with the former reference model, the change trend of the current load along with the time can be better determined. When the BSLT is added during SLI calculation, the sleep frequency of the cell can be reduced so as to ensure the stability of the network. For example, if the subject is the s-th dormant study period (i.e., T) s ) The d-th dormancy research time unit (i.e., SRUT) in (1) d ) At a sleep decision time point t n (i.e., DPIT) tn ) Let N stand for T = s-1-k, assuming t n The end point time of the SOP as the start point time is t m (i.e., the next sleep decision time point), then sleep set u (SMS) u ) Cell i (Cell) in u,i ) The BSLT value of (a) is calculated as follows:
the BSLT has the following meanings:
1) When inTime, indicates that in the next sleep execution cycle, cell u,i A load change trend exists, and the load is increased;
2) When inTime, indicates that in the next sleep execution cycle, cell u,i The load change trend exists, and the load is reduced;
3) When inTime, indicates that in the next sleep execution cycle, cell u,i Substantially no load change;
4)、namely, it isAbsolute value of (b) represents Cell u,i Specific average load change.
In one embodiment, the following way is adopted to calculate the burst service parameter RI u 。
Assume dormant cell management set u (i.e., SMS) u ) The number of base stations turned on in a certain SOP is N ON The number of closed base stations is N OFF The number of all base stations in the set is N CELL ：
N CELL ＝N ON +N OFF (5)
Assuming that the upper limit of the capacity of each base station is λ, the cell set capacity at this time can be calculated as:
C SYS ＝λ·N ON (6)
at the same time, assume that the SOP is decided at the sleep decision time point t n As the starting time, in t m For the end time, it can be calculated how many interaction time points EPIT are included in the sleep execution period, i.e. N EPIT And (c) = m-n. Based on this, the current sleep study period (i.e., T) can be calculated s ) Previous N T Management set u of dormant cells (i.e. SMS) for = s-1-k dormant study periods u ) All cells in u,i In the corresponding dormancy research time unit SRUT d Of the sleep execution period SOP, a statistical average C of the traffic volume STATS ：
Combining the formula (6) and the formula (7), the burst traffic redundancy constant RI can be obtained u Comprises the following steps:
and calculating SLI according to the BSLT, the BSCL and the RI.
After the SLI of the cell is obtained, referring to fig. 2, the cell dormancy decision for the next dormancy execution period is made with reference to a threshold:
1) When SLI u,i,t ≤K 1 Time, corresponding Cell u,i Entering a request sleep state;
2) When K is 1 <SLI u,i,t ≤K 2 Time, corresponding Cell u,i Enter into request cooperative compensation state 1 (Cell) u,i Single station compensation multi-station capability);
3) When K is 2 <SLI u,i,t ≤K 3 Time, corresponding Cell u,i Enter request Cooperation Compensation State 2 (Cell) u,i Single station compensation capability);
4) When K is 3 <SLI u,i,t ≤K 4 Time, corresponding Cell u,i Enter request individual Compensation State 3 (Cell) u,i Multi-station compensation single-station capability);
5) When SLI u,i,t >K 4 Time, corresponding Cell u,i The entry request remains in normal coverage.
For each SMS, the sleep and backoff combination in the next SOP in that SMS is obtained, depending on the state of its cell entry.
According to an embodiment of the invention, a method for implementing cell dormancy is also provided.
Referring to fig. 1 and 3, the method includes:
the first step is as follows: and obtaining a combination mode of cell dormancy and compensation coverage in the next dormancy execution period according to the cell dormancy decision method.
The second step is that: and informing the state of the base station corresponding to each cell in the next dormancy execution period, the time point of executing dormancy or compensation, the current load capacity of the cell and the like.
Wherein the state includes sleep, compensated or normal coverage. The Point In Time (SPIT) at which Sleep or compensation is performed may be denoted as SPIT t ＝DPIT t + o (t), where o (t) stands for hibernateThe decision time point DPIT and the sleep (or compensation) time interval of the execution time point SPIT, i.e. the time interval from the decision to the execution time.
The third step: and the base stations interact the context service information of the users.
And (3) interacting the context service information of the user between the base stations in the above o (t) time period so as to perform the subsequent step (switching of coverage).
As shown in fig. 3, the base station to be dormant sends the context information of its connected user to the compensation coverage base station, and the compensation coverage base station establishes a connection to be complemented.
The fourth step: at a time point when the sleep or the compensation is performed, a user handover is performed, and cell sleep and compensation coverage are performed.
With continued reference to fig. 3, one embodiment is shown where base station 1 is dormant and base station 2 is making compensating coverage. When the time point SPIT of executing dormancy or compensation arrives, the user a in charge of the base station 1 is switched from the base station 1 to the base station 2, and a service connection is established with the previously interacted context information. And after the switching of the user is finished, deleting the user context information of the user in the original base station. Therefore, the success rate of switching can be improved, and the stability and the user experience of the network are further ensured.
In implementing the compensation coverage, as shown in fig. 4, the compensation coverage base station covers the sleeping base station at the time point SPIT of performing the sleeping or the compensation by adjusting the downtilt, the direction angle and the transmission power of the base station antenna; meanwhile, the dormant base station turns off the antenna at SPIT and enters dormancy.
The method for cell dormancy decision based on the cell dormancy reference model and combined with the SLI index and the dormancy implementation method described above can not only reduce the energy consumption of the system and improve the resource utilization rate, but also ensure the stability of the whole network, reduce the system overhead caused by dormancy, and improve the user experience.
According to an embodiment of the invention, a system for implementing cell dormancy is also provided.
In summary, the system comprises one or more dormant cell management sets SMS (each set comprising several geographically neighbouring Base stations, as described above), and one or more centralised cell Base Station dormancy managers (BSSMs). Wherein one BSSM corresponds to one SMS to manage all base stations in the SMS.
Referring to fig. 5 and in general terms, each base station within the SMS is configured to report a cell current load value BSCL to the corresponding BSSM at each EPIT; the BSSM is used for counting and storing the value, and when the DPIT reaches the dormancy decision time point, decision is made according to the cell dormancy index of the cell.
Specifically, when the DPIT is reached, the BSSM makes a decision on a combination of cell dormancy and coverage compensation in the next dormancy execution period SOP according to the cell dormancy indicator SLI of all cells in the current jurisdiction. Subsequently, the BSSM notifies the state (sleep, compensation, or normal coverage) of the corresponding base station in the next sleep execution period SOP, a specific time point SPIT of performing sleep or compensation, a cell current load amount BSCL, and other information (may be collectively referred to as sleep control information) of each cell. The base station, upon receiving the sleep control information, interacts with the context traffic information of the user (e.g., during the o (t) time period described above). When the station arrives at SPIT, the coverage compensation base station can cover the dormant base station by adjusting the downward inclination angle, the direction angle and the transmitting power of the base station antenna according to the control information (such as power adjustment, antenna adjustment, execution time point of switching compensation coverage and the like) issued by BSSM; meanwhile, the dormant base station closes the antenna and enters dormancy according to control information (dormancy command, time point for performing dormancy, and the like) sent by the BSSM.
In one embodiment, the BSSM is also used to design a sleep decision time point, DPIT, for example using the method described above.
In summary, the functions of BSSM are summarized as follows:
1) The BSSM is connected with all base stations in the jurisdiction and can directly issue dormancy or compensation commands to all base stations in the jurisdiction. Simultaneously, all base stations in the jurisdiction regularly (each EPIT) report information such as load, user distribution and the like to the BSSM, and time alignment is carried out according to a clock of the BSSM;
2) The BSSM has a calculation function and can perform calculation according to the load state, the load change trend, the user distribution condition and the like;
3) The BSSM has a storage function and can store current and past cell state information and the like.
The BSSM is adopted to control and interact with the cells in the jurisdiction in a centralized way, so that the steps of dormancy decision and switching are greatly simplified, and the system efficiency is improved.
Fig. 6 shows a process of implementing cell dormancy and compensating coverage by the cell dormancy implementing system. Wherein, all base stations report load information (including information of active users, total users and the like) to corresponding BSSMs periodically according to EPIT, and the BSSMs store the information. And according to the previously determined DPIT time point (DPIT is an EPIT subset), calculating SLI values of all cells in the jurisdiction at a dormancy decision time point (DPIT), making a decision according to the SLI values, and informing all base stations in the jurisdiction of the state (dormancy, compensation or normal) in the next dormancy execution period SOP. And then, after certain interaction time redundancy, the base station executes corresponding energy-saving operation until the execution time SPIT. At the same time, the BSCL information stored in the BSSM will be saved for a certain time according to the requirements of the reference model.
It should be understood that although the present description has been described in terms of various embodiments, not every embodiment includes only a single embodiment, and such description is for clarity purposes only, and those skilled in the art will recognize that the embodiments described herein may be combined as suitable to form other embodiments, as will be appreciated by those skilled in the art.
The above description is only an exemplary embodiment of the present invention, and is not intended to limit the scope of the present invention. Any equivalent changes, modifications and combinations that may be made by those skilled in the art without departing from the spirit and principles of the invention shall fall within the scope of the invention.

Claims (16)

1. A cell dormancy decision method, comprising:
step 1), for each set formed by base stations adjacent to the geographical position, when a dormancy decision time point is reached, calculating dormancy indexes of each cell in the set; the dormancy indicator of the cell is related to the current load of the cell and a load change trend, wherein the load change trend is obtained based on the analysis of historical load data and is used for reflecting the trend of the current load changing along with time;
and 2) determining the state to be entered by each cell according to the dormancy index of each cell in the set.
2. The method of claim 1, wherein the dormancy indicator for a cell is further associated with burstiness of traffic.
3. The method of claim 2, wherein the dormancy indicator for a cell is expressed as follows:
SLI u,i,t ＝α·BSLT u,i,t +β·BSCL u,i,t +RI u
wherein, SLI u,i,t A dormancy indicator representing a cell i in the set u at a dormancy decision time point t; BSLT u,i,t Representing the load change trend of the cell i at the dormancy decision time point t; BSCL u,i,t Represents the load of cell i at the dormancy decision time point t; RI (Ri) u Burst service parameters of a set u; and alpha and beta are addition coefficients, respectively.
4. A method according to any of claims 1-3, wherein the sleep decision time points are a subset of interaction time points in a time period within a period of a predetermined length; one cycle is composed of a plurality of time segments with equal length, and the interaction time points in each time segment are equally spaced.
5. The method of claim 4, wherein a sleep decision time point t in a d-th time period within an s-th cycle n The load variation trend of cell i in set u is expressed as follows:
wherein N is T Representing the number of sleep study periods, N T K denotes that the sleep study period starts at the kth period; t is t m Represents t n The next sleep decision time point later;represents a point of time T in a d-th period within the T-th cycle n The load of cell i in set u.
6. The method of claim 4, wherein a sleep decision time point t in a d-th time period within an s-th cycle n The burst traffic parameters of set u are expressed as follows:
wherein, C STATS Denotes a time point t in a d-th period within the k-th to s-1 th cycles n To t m All interaction time points of (a), cell load mean value in set u, t m Represents t n The next sleep decision time point later; c SYS Representing the capacity of the set u.
7. The method of claim 6, wherein C STATS Is represented as follows:
wherein N is T Representing the number of sleep study periods, N T K, denotes that a sleep study cycle begins at the kth cycle; n is a radical of CELL Representing the number of base stations in the set u; n is a radical of hydrogen EPIT Representing the number of interaction time points，N EPIT = m-n, n-th interaction time point corresponds to t n The mth interaction time point corresponds to t m ；BSCL u,i,T,d,t Represents the load of the cell i in the set u at the interaction time point T in the d-th time period within the T-th period.
8. The method of claim 6 or 7, wherein C SYS Is represented as follows:
C SYS ＝λ·N ON
wherein λ represents the upper capacity limit of each base station; n is a radical of ON Is shown at a point of time t n To t m The number of base stations open in between.
9. The method of claim 4, wherein the sleep decision time points of the set u in the d-th time period within the s-th cycle are obtained according to the following steps:
step a), for the interaction time point t in the d time period in the s period n Calculating the load change rate of each cell in the set u according to the following formula:
wherein i represents a cell i; n is a radical of T Representing the number of sleep study periods, N T K denotes that the sleep study period starts at the kth period;represents a point of time T in a d-th period within the T-th cycle n Load of cell i in set u; t is t n-1 Represents t n The previous interaction time point of (c);
step b), obtaining the load change rate index value of each cell according to the following formula:
or
Wherein, K LCR Is a predetermined threshold value;
step c), calculating the load change rate of the set u according to the following formula:
wherein N is CELL Representing the number of base stations in the set u;
step d), if the load change rate of the set u is larger than a preset threshold value, the interaction time point t is n A sleep decision time point.
10. The method according to any one of claims 1-3, wherein step 2) comprises:
if the dormancy index of the cell is less than or equal to a first threshold value, the cell enters a dormancy request state;
if the dormancy index of the cell is larger than the first threshold value and smaller than or equal to the second threshold value, the cell enters a state of requesting single-station compensation and multi-station compensation;
if the dormancy index of the cell is larger than the second threshold and smaller than or equal to a third threshold, the cell enters a state of requesting single station compensation;
if the dormancy index of the cell is larger than the third threshold and smaller than or equal to the fourth threshold, the cell enters a state of requesting multi-station compensation single station;
and if the dormancy index of the cell is larger than the fourth threshold value, the cell enters a state of requesting to keep normal coverage.
11. The method according to any one of claims 1-3, wherein step 2) further comprises:
and obtaining the sleep and compensation combination mode in the set between the current sleep decision time point and the next sleep decision time point according to the state to be entered by each cell in the set.
12. The method of claim 4, wherein the cycle is 7 days and the period of time is 1 day.
13. A method for realizing cell dormancy comprises the following steps:
step A), adopting the method as claimed in any one of claims 1-12 to make cell dormancy decision, and informing the base station corresponding to the cell of the dormancy related information;
step B), context services of related users are interacted between the base stations;
and step C), at the time point of executing the dormancy, the dormant base station enters the dormancy and the compensation coverage base station covers the dormant base station.
14. A cell dormancy system, comprising:
a set of geographically adjacent base stations; and
a base station dormancy manager associated with the set for determining a state to be entered by the cell according to the cell dormancy decision method of any one of claims 1-12 when a dormancy decision time point is reached.
15. The system of claim 14, wherein each base station in the set is configured to report a current cell load to a corresponding base station dormancy manager at each interaction time point.
16. The system of claim 15, wherein the base station dormancy manager counts and stores the current cell load reported by the base station.
CN201510003755.1A 2015-01-05 2015-01-05 A kind of cell dormancy decision-making technique, realization method and system Active CN104661241B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510003755.1A CN104661241B (en) 2015-01-05 2015-01-05 A kind of cell dormancy decision-making technique, realization method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510003755.1A CN104661241B (en) 2015-01-05 2015-01-05 A kind of cell dormancy decision-making technique, realization method and system

Publications (2)

Publication Number Publication Date
CN104661241A CN104661241A (en) 2015-05-27
CN104661241B true CN104661241B (en) 2018-05-22

Family

ID=53251826

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510003755.1A Active CN104661241B (en) 2015-01-05 2015-01-05 A kind of cell dormancy decision-making technique, realization method and system

Country Status (1)

Country Link
CN (1) CN104661241B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106304328B (en) * 2015-06-01 2020-10-16 索尼公司 Electronic device and wireless communication method in wireless communication system
CN104883725B (en) * 2015-06-19 2018-10-09 东南大学 Network energy-saving method based on website actual loading in a kind of long-term evolving network
US10433252B2 (en) * 2016-10-24 2019-10-01 Qualcomm Incorporated Optimizing target wake-up time (TWT) operation
CN109600763A (en) * 2017-09-30 2019-04-09 中国移动通信有限公司研究院 A kind of suspend mode, wake-up control method, device, CU, DU and storage medium
CN112118587B (en) * 2019-06-19 2022-08-26 大唐移动通信设备有限公司 Cell management method and equipment
CN111163506B (en) * 2019-12-23 2021-05-28 京信通信技术(广州)有限公司 Energy saving method and device, computer equipment and storage medium
CN114727370A (en) * 2021-01-04 2022-07-08 中国移动通信有限公司研究院 Cell energy-saving control method, device, equipment and readable storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102695251A (en) * 2011-03-21 2012-09-26 上海贝尔股份有限公司 Energy-saving method in mobile communication system
WO2013170486A1 (en) * 2012-05-18 2013-11-21 华为技术有限公司 Communication method, device and system
CN102396257B (en) * 2011-05-16 2014-04-30 华为技术有限公司 Method, system and device of energy saving for base stations

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102695251A (en) * 2011-03-21 2012-09-26 上海贝尔股份有限公司 Energy-saving method in mobile communication system
CN102396257B (en) * 2011-05-16 2014-04-30 华为技术有限公司 Method, system and device of energy saving for base stations
WO2013170486A1 (en) * 2012-05-18 2013-11-21 华为技术有限公司 Communication method, device and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Dynamic Sleep Scheduling for Minimizing Delay in Wireless Sensor Network;Babar Nazir,Halabi Hasbullah;《IEEE》;20110426;全文 *
Load Diversity Based Processing Resource Allocation for Super Base Stations in Large-scale Centralized Radio Access Networks;Guowei Zhai1,2,3, Lin Tian,Yiqing Zhou,Jinglin Shi;《IEEE ICC 2014 - Wireless Communications Symposium》;20140614;全文 *

Also Published As

Publication number Publication date
CN104661241A (en) 2015-05-27

Similar Documents

Publication Publication Date Title
CN104661241B (en) A kind of cell dormancy decision-making technique, realization method and system
CN113543284A (en) Energy saving method, base station, control unit and storage medium
CN102595501A (en) Apparatus and method for controlling a node of a wireless communication system
CN112367697B (en) Base station energy saving method and device
CN114727375B (en) Energy-saving control method, base station and system for deep dormancy of 5G base station
CN114786268B (en) Data transmission bandwidth adjustment method and device, electronic equipment and storage medium
CN103380653A (en) Methods of UE providing speed information to network
CN105636056A (en) Spectrum resource self-optimization energy-saving method, apparatus and system
CN104812035B (en) A kind of method of self adaptive control base station energy-saving
Zhu et al. Joint traffic prediction and base station sleeping for energy saving in cellular networks
CN111405646B (en) Base station dormancy method based on Sarsa learning in heterogeneous cellular network
WO2014040643A1 (en) Method for energy saving in a cellular communication system
CN113891377A (en) Automatic maintenance and tuning method for 5G small base station equipment
CN103929752B (en) Dynamic cooperation covering method between base station
CN107708148B (en) MDP-based small base station asynchronous turn-off energy-saving method
CN107396376A (en) Cell preload equalization methods and device
CN115515208A (en) Base station energy saving method, base station energy saving system, base station and storage medium
CN105554825B (en) Cell selecting method and device in a kind of HetNet system under DRX state
CN102333346A (en) Load balancing method and system of mobile communication system
CN103533577A (en) Judgment control method and system for vertical switching among heterogeneous wireless networks
CN114077213B (en) Energy-saving control method and device
CN103167577A (en) Method for closing small residential area and site device
CN106102148B (en) A kind of base station dormancy method and device
Liu et al. Flow-level-delay constraint small cell sleeping with macro base station cooperation for energy saving in hetnet
WO2024021571A1 (en) Energy saving method, and electronic device and storage medium

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant