CN106973390A - The spectrum auction method of social networks is combined in a kind of femtocell heterogeneous network - Google Patents
The spectrum auction method of social networks is combined in a kind of femtocell heterogeneous network Download PDFInfo
- Publication number
- CN106973390A CN106973390A CN201710148434.XA CN201710148434A CN106973390A CN 106973390 A CN106973390 A CN 106973390A CN 201710148434 A CN201710148434 A CN 201710148434A CN 106973390 A CN106973390 A CN 106973390A
- Authority
- CN
- China
- Prior art keywords
- user
- auction
- femtocell
- frequency band
- buyer
- 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.)
- Pending
Links
- 238000001228 spectrum Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 19
- 239000011159 matrix material Substances 0.000 claims abstract description 25
- 230000001413 cellular effect Effects 0.000 claims abstract description 3
- 238000005457 optimization Methods 0.000 claims description 10
- 230000002068 genetic effect Effects 0.000 claims description 5
- 230000013370 mutualism Effects 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 2
- 241000256837 Apidae Species 0.000 claims 1
- 230000015572 biosynthetic process Effects 0.000 claims 1
- 238000005303 weighing Methods 0.000 claims 1
- 238000004891 communication Methods 0.000 description 8
- 230000008901 benefit Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 230000003044 adaptive effect Effects 0.000 description 3
- 210000004027 cell Anatomy 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 241000256844 Apis mellifera Species 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 210000000349 chromosome Anatomy 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- VIKNJXKGJWUCNN-XGXHKTLJSA-N norethisterone Chemical compound O=C1CC[C@@H]2[C@H]3CC[C@](C)([C@](CC4)(O)C#C)[C@@H]4[C@@H]3CCC2=C1 VIKNJXKGJWUCNN-XGXHKTLJSA-N 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/14—Spectrum sharing arrangements between different networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/08—Auctions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/53—Allocation or scheduling criteria for wireless resources based on regulatory allocation policies
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W74/00—Wireless channel access
- H04W74/02—Hybrid access
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/04—Large scale networks; Deep hierarchical networks
- H04W84/042—Public Land Mobile systems, e.g. cellular systems
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Computing Systems (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of spectrum auction method that social networks is combined in femtocell heterogeneous network, wherein femtocell is using mixing access way, authorized user accesses at any time, and unauthorized user by inch of candle buys authorized frequency bands access under femtocell covering；The secondary user for obtaining authorized user's frequency band accesses cellular network by covering the femto base station of itself, so as to realize spectrum reuse；The user's ability band sharing not interfered with the cell, the physical distance of next user is covered according to femtocell, passes through the interference matrix between the co-channel interference structure time user between secondary user；According to social characteristic of the secondary user in double-deck heterogeneous network, the social reciprocal factor between time user is extracted, spectrum auction is then carried out.The inventive method is used for idle frequency band in femtocell heterogeneous network and distributed, and improves the allocative efficiency of frequency band, increases the income of authorized user, is conducive to increasing the power system capacity of network, mitigates the burden of macro base station.
Description
Technical field
The present invention relates to wireless communication system technologies field, and in particular to society is combined in a kind of femtocell heterogeneous network
Hand over the spectrum auction method of network.
Background technology
The development of today's society wireless communication technology is swift and violent, and number of users suddenly increases in communication network, how to utilize existing frequency spectrum
Resource utilizes user's shape in network come the power system capacity for meeting growing data service as far as possible and increasing communication network
Into social networks in the characteristic that embodies optimize network design, optimization Internet resources distribution, it has also become present academia faces
The problem of.Third generation partner program (3GPP) proposes the milli for supporting isomery cellular network architecture in LTE-A standard
Pico cell.This femtocell user can autonomous deployment, the distance furthered between base station and user, reduction transmission power；This
Covering " blind area " problem of macro base station can effectively be solved by planting double-deck heterogeneous network, improve indoor communication quality, also effectively
Alleviate the traffic load of macro base station in ground.
The introducing of femtocell adds the power system capacity of network so that number of users suddenly increases in network, these user's structures
Into the mobile social networking with mobility, convenience, instantaneity and personalized customization feature by carrier of mobile device.
The characteristic embodied using user in social networks has important role in wireless network；Social networks embodies user
Social networks in network, if possess similar resource hobby, the user with strong social networks can be with information interchange, resource
Shared, resource is distributed using the characteristic between user in social networks can effectively improve the performance of network；Traditional is grand
Base station and femtocell bandwidth assignment mode have three kinds：Scheme one is that, using Channel distribution mode altogether, this mode can be produced
Serious same layer and cross-layer interference；Scheme two is to use the orthogonal channel method of salary distribution, and this mode causes the frequency spectrum of whole system
Utilization rate is relatively low；Scheme three is to be total to channel approach using part, although this mode can solve cross-layer interference to a certain extent,
But frequency spectrum distribution is fixed, and very flexible, frequency spectrum service efficiency is not high.Frequency spectrum resource is limited, to improve the availability of frequency spectrum, ensures and uses
Family communication quality, increasing network system capacity, therefore design a kind of efficient spectrum allocation schemes becomes particularly urgent.
Auction technique ensures spectrum efficiency, also provides and swash as a kind of technology of emerging raising frequency spectrum allocative efficiency
The instrument of mechanism is encouraged, Game Theory is applied in heterogeneous network, the idle frequency spectrum resource in network is auctioned, city is introduced
Field mechanism, adds the flexibility of frequency spectrum distribution and has fair and high efficiency concurrently.
The content of the invention
Present invention seek to address that technical problem present in prior art.
The social networks between the next user of femtocell covering in double-deck heterogeneous network are considered, according between them
Social characteristic, builds a kind of new auction formats, and a kind of optimized algorithm of incorporating quantum genetic Algorithm Design can make frequency spectrum resource
Fully and effectively utilized, frequency spectrum allocative efficiency is improved, so as to improve the power system capacity of network.
Starting point of the present invention is to combine characteristic and frequency spectrum of the user in social networks in femtocell heterogeneous network to clap
The advantage sold；According to femtocell distribution randomness and comparatively dense feature, it is considered to social characteristic of the user in social network, carry
The social reciprocal factor between family is taken, a kind of spectrum auction method is designed, the frequency spectrum distribution effect of network can be effectively improved
Rate and utilization rate, improve the system utility of whole network.
The technical scheme is that the spectrum auction method of social networks is combined in a kind of femtocell heterogeneous network, its
Middle femtocell is accessed at any time using mixing access way, authorized user, and unauthorized user leads under femtocell covering
Cross auction purchase authorized frequency bands access；The secondary user for obtaining authorized user's frequency band accesses honeybee by covering the femto base station of itself
Nest network, so as to realize spectrum reuse；The user's ability band sharing not interfered with the cell, is covered according to femtocell
The physical distance of next user, the interference matrix between time user is built by the co-channel interference between secondary user；Used according to secondary
Social characteristic of the family in double-deck heterogeneous network, extracts the social reciprocal factor between time user, then carries out spectrum auction, institute
State spectrum auction method and specifically include following steps：
S10：In the double-deck heterogeneous network of femtocell, the interference matrix between time user is built
Assuming that the primary user for having M mandate possesses the idle grants frequency band of same band size, { f is designated as1,f2,···,
fm-1,fm, appraisal of each authorized user to oneself frequency band is { a1,a2,···,am-1,am, then according to femtocell
Physical distance between the next user of covering, builds the interference matrix C between time user, concrete operation such as formula is 1.：
WhereinTransmission powers of the buyer j on channel g is represented,Represent buyer j to kth1The channel system of individual seller
Number,Represent seller k2To buyer i transmission power,Represent the ambient noise on channel g；If between two users
Interference value be less than user communicate threshold value, then be considered as noiseless user；1. calculated respectively in different femtos according to formula
Value is interfered between buyer in honeycomb, noisy to be designated as 1, on the contrary to be designated as 0, the disturbed condition of all buyers forms one
Interference matrix C；
S20：Build the social mutualism between the next user of femtocell covering
The interest list T embodied according to secondary user in social networksi, i represents some time user, and the value of list is
Boolean；The interest resource embodied by user, can obtain the Jie Kade similarity factors between user：
Then the reciprocal factor between user is defined by the physical distance between the Jie Kade similarity factors between user and user：
S30：An allocation matrix X is defined, is designated as：And buyer is collected, it is designated as { c1,
c2,···,cn, broadcast spectrum auction information in a network, the auction information includes the idle frequency band that authorized user possesses
{f1,f2,···,fm-1,fm, and each authorized user is { a to the valency of guaranteeing the minimum of the frequency band of oneself1,a2,···,am-1,
am, and appraisal of each buyer to each frequency band is Bi={ bi1,bi2,···,bim}；
S40：The authenticity and validity of auction are ensured by setting auction rules, the interests of seller and buyer are taken into account, with
Realize the maximization of utility of whole auction system
The auction rules are：It need to be higher than the price of guaranteeing the minimum of corresponding authorized user to participating in auction buyer bid, it is just organic
Frequency band can be obtained, the allocation result when auction reaches Nash Equilibrium state is exactly the maximized allocative decision of system utility；Tool
Body is to be modeled as Optimizing Allocation：WhereinRepresent that unique user is obtained
To the effectiveness of frequency band；The income of user is：λuij-bij, λ is weighted value, λ uijThe value that user's i service bands j is produced is represented,
Authorized user's income is：bij-aij；If the bid of buyer is respectively less than the valency of guaranteeing the minimum of authorized user, End of Auction, from new next
Take turns spectrum auction；
S50 is solved to optimization problem, obtains final allocation matrix X
Formula 2. in, xikBe the apportioning cost after End of Auction, take 0 or 1, be worth for 1 when represent auction frequency spectrum success；N is participation
Buyer's number of auction, m is the frequency band number that authorized user is contained；Second restrictive condition is if two users have interference, one
Individual frequency band can only give one in two buyers；3rd restrictive condition is that a user can only obtain in each round auction
The frequency band of one preference；Suboptimal solution is solved using quantum genetic intelligent optimization algorithm, and then obtains final allocation matrix.
The inventive method is used for idle frequency band in femtocell heterogeneous network and distributed, and improves the allocative efficiency of frequency band,
Increase the income of authorized user, be conducive to increasing the power system capacity of network, mitigate the burden of macro base station；Proposed in heterogeneous network
A kind of spectrum auction mechanism of the social reciprocity property of combination, can maximization network system utility, meet the communicating requirement of user,
Improve the communication quality of user；And it is easy to operate, also easily realize.
Brief description of the drawings
The above-mentioned and additional aspect and advantage of the present invention will become bright from description of the accompanying drawings below to embodiment is combined
Show and be readily appreciated that, wherein：
Fig. 1 is the system model schematic diagram of the double-deck heterogeneous network of femtocell in the inventive method；
Fig. 2 is the spectrum auction illustraton of model of the double-deck heterogeneous network of femtocell in the inventive method；
Fig. 3 is the frequency spectrum allocation process diagram of maximization social benefit in the inventive method.
Embodiment
It is below in conjunction with the accompanying drawings and specific real in order to be more clearly understood that the above objects, features and advantages of the present invention
Mode is applied the present invention is further described in detail.It should be noted that in the case where not conflicting, the implementation of the application
Feature in example and embodiment can be mutually combined.
Many details are elaborated in the following description to facilitate a thorough understanding of the present invention, still, the present invention may be used also
Implemented with being different from mode described here using other, therefore, protection scope of the present invention is not by following public tool
The limitation of body embodiment.
Clapped referring to the frequency spectrum in the femtocell heterogeneous network of Fig. 1-3 pairs of embodiment of the present invention with reference to social networks
The method of selling is further described.
The system model schematic diagram of the double-deck heterogeneous network of femtocell as shown in Figure 1, including grand user, macro base station,
Secondary user under femtocell and femtocell covering, under the system model of double-deck heterogeneous network, wherein femto honeybee
Nest is using mixing access way, and grand user is authorized user, that is, primary user, and authorized user accesses macro base station and led at any time
Letter, the secondary user under femtocell covering is unauthorized user, and unauthorized user needs to access by buying authorized frequency bands；
The frequency band of authorized user distributes to the secondary user under the femtocell covering by femtocell, so as to realize that frequency spectrum is answered
With；The user's ability band sharing not interfered with the cell, the physical distance of next user is covered according to femtocell, is led to
The interference matrix crossed between the co-channel interference structure time user between secondary user；According to society of the secondary user in double-deck heterogeneous network
Characteristic is handed over, the social reciprocal factor between time user is extracted, then carries out spectrum auction.
The spectrum auction model of the double-deck heterogeneous network of femtocell as shown in Figure 2, the primary user containing idle frequency band
It is considered as seller, the secondary user of access network is considered as buyer the need under femtocell is covered；Possess the seller of idle frequency band
By hire out the frequency band of oneself come acquisition income, secondary user rents idle frequency band to reach the logical of itself by femtocell
Letter demand, while improving the frequency efficiency of network.CPU is bought as the Bidder Information in auctioner's collection network
Information exchange is carried out between family, mutual social relationships are formed in network, is constituted between a social networks, different secondary users
There are different social reciprocal factor tsij, the secondary user in Fig. 1 under femtocell covering has certain mutualism, i.e. shape
Into mutualism time user；As shown in Fig. 2 CPU also collects the idle frequency band that primary user possesses as auctioner,
Auction information, including number of frequency bands, frequency band size, geographical position are broadcasted in a network；Secondary user believes as buyer according to these
Breath is estimated, the bid information of each frequency band is submitted to auctioner；Frequency range is by inch of candle obtained to obtain the purpose of communication, so that
Improve the handling capacity of network.
The spectrum auction method specifically includes following steps：
S10：In the double-deck heterogeneous network of femtocell, the interference matrix between time user is built
Assuming that there is the M primary user authorized to possess the idle grants frequency band of same band size in Fig. 2, { f is designated as1,
f2,···,fm-1,fm, appraisal of each authorized user to oneself frequency band is { a1,a2,···,am-1,am, then basis
Physical distance between the next user of femtocell covering, builds the interference matrix C between time user, concrete operation such as formula
①：
WhereinTransmission powers of the buyer j on channel g is represented,Represent buyer j to kth1The channel system of individual seller
Number,Represent seller k2To buyer i transmission power,Represent the ambient noise on channel g；If between two users
Interference value be less than user communicate threshold value, then be considered as noiseless user；1. calculated respectively in different femtos according to formula
Value is interfered between buyer in honeycomb, noisy to be designated as 1, on the contrary to be designated as 0, the disturbed condition of all buyers forms one
Interference matrix C；
S20：Build the social mutualism between the next user of femtocell covering
The interest list T embodied according to secondary user in social networksi, i represents some time user, and the value of list is
Boolean；The interest resource embodied by user, can obtain the Jie Kade similarity factors between user：
Then the reciprocal factor between user is defined by the physical distance between the Jie Kade similarity factors between user and user：
S30：An allocation matrix X is defined, is designated as：And buyer is collected, it is designated as { c1,
c2,···,cn, broadcast spectrum auction information in a network, the auction information includes the idle frequency band that authorized user possesses
{f1,f2,···,fm-1,fm, and each authorized user is { a to the valency of guaranteeing the minimum of the frequency band of oneself1,a2,···,am-1,
am, and appraisal of each buyer to each frequency band is Bi={ bi1,bi2,···,bim}；
S40：The authenticity and validity of auction are ensured by setting auction rules, the interests of seller and buyer are taken into account, with
Realize the maximization of utility of whole auction system
The auction rules are：It need to be higher than the price of guaranteeing the minimum of corresponding authorized user to participating in auction buyer bid, it is just organic
Frequency band can be obtained, the allocation result when auction reaches Nash Equilibrium state is exactly the maximized allocative decision of system utility；Tool
Body is to be modeled as Optimizing Allocation：WhereinRepresent that unique user is obtained
To the effectiveness of frequency band；The income of user is：λuij-bij, λ is weighted value, λ uijThe value that user's i service bands j is produced is represented,
Authorized user's income is：bij-aij；If the bid of buyer is respectively less than the valency of guaranteeing the minimum of authorized user, End of Auction, from new next
Take turns spectrum auction；Because all buyers obtain the right to use of some frequency band by bidding fashion, therefore exist between them competing
Relation is striven, each virtual buyer, which exists, lies about the means such as appraisal to obtain the tendency of itself benefit, therefore passes through setting
This auction rules ensure auction authenticity and validity, the interests of seller and buyer are taken into account, to realize whole auction system
Maximization of utility.
S50 is solved to optimization problem, obtains final allocation matrix X
Formula 2. in, xikBe the apportioning cost after End of Auction, take 0 or 1, be worth for 1 when represent auction frequency spectrum success；N is participation
Buyer's number of auction, m is the frequency band number that authorized user is contained；Second restrictive condition is if two users have interference, one
Individual frequency band can only give one in two buyers；3rd restrictive condition is that a user can only obtain in each round auction
The frequency band of one preference；Suboptimal solution is solved using quantum genetic intelligent optimization algorithm, and then obtains final allocation matrix.
By analytical formula object function 2. and constraints, it is that a 0-1 is whole to carry out solution to optimization problem
Can number planning problem, seek globally optimal solution algorithm efficiently still at present, consider the complexity of algorithm and reach receipts
The factor such as hold back, suboptimal solution is solved using quantum genetic intelligent optimization algorithm, basic object is to meet constraints and auction
According to the system fitness function intelligent solution suboptimal solution of setting under conditions of criterion.
The frequency spectrum allocation flow of maximization social benefit as shown in Figure 3, when auctioning beginning, buyer is single to center processing
Member submits bid information, and CPU is according to guarantee the minimum valency and the pricing information to be formed of bidding of buyer of seller, as long as competing
Valency is higher than the charge of seller, just has an opportunity to obtain frequency band access network, thus obtains a possible matrix L, then basis can
Row matrix draws chromosome size, and population can be initialized according to Quantum rotating gate, initial solution is obtained, then according to optimization problem
The bid of constraints and buyer obtain feasible solution, object function is set to fitness function, calculates all feasible in population
The adaptive value of solution, compares adaptive value size, retains maximum adaptive value and feasible solution, iteration is then updated, according to current
Optimal feasible solution carries out the renewal of Quantum rotating gate, and then updates whole population, obtains a new population, updates and change repeatedly
Generation, until algorithmic statement, it is possible to obtain the approximate optimal solution of allocation matrix.If both bid identical, one is given at random
User, if the bid of buyer is respectively less than the valency of guaranteeing the minimum of authorized user, it may be possible to gang up bid between buyer, then this auction is lost
Lose, unauthorized user can not then obtain the chance of access network.Then CPU collection information starts next round auction,
Repeat auction step, until algorithmic statement, then the spectrum auction stage terminate.
The preferred embodiments of the present invention are these are only, are not intended to limit the invention, for those skilled in the art
For member, the present invention can have various modifications and variations.All creativeness spirit in the present invention is with principle, and that is made is any
Modification, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (1)
1. combining the spectrum auction method of social networks in a kind of femtocell heterogeneous network, wherein femtocell is using mixed
Access way is closed, authorized user accesses at any time, unauthorized user by inch of candle buys authorized frequency bands under femtocell covering
Access；The secondary user for obtaining authorized user's frequency band accesses cellular network by covering the femto base station of itself, so as to realize frequency
Spectrum multiplexing；The user that does not interfere with the cell could band sharing, according to femtocell cover the physics of next user away from
From building the interference matrix between time user by co-channel interference between secondary user；According to secondary user in double-deck heterogeneous network
In social characteristic, extract the social reciprocal factor between time user, then carry out spectrum auction, the spectrum auction method tool
Body comprises the following steps：
S10：In the double-deck heterogeneous network of femtocell, the interference matrix between time user is built
Assuming that the primary user for having M mandate possesses the idle grants frequency band of same band size, { f is designated as1,f2,…,fm-1,fm,
Appraisal of each authorized user to oneself frequency band is { a1,a2,…,am-1,am, next user is then covered according to femtocell
Between physical distance, build the interference matrix C between time user, concrete operation such as formula is 1.：
WhereinTransmission powers of the buyer j on channel g is represented,Represent buyer j to kth1The channel coefficients of individual seller,Represent seller k2To buyer i transmission power,Represent the ambient noise on channel g；If between two users
Interference value is less than the threshold value that user communicates, then is considered as noiseless user；1. calculated respectively in different femto honeybees according to formula
Value is interfered between buyer in nest, noisy to be designated as 1, on the contrary to be designated as 0, the disturbed condition formation one of all buyers is done
Disturb Matrix C；
S20：Build the social mutualism between the next user of femtocell covering
The interest list T embodied according to secondary user in social networksi, i represents some time user, and the value of list is boolean
Value；The interest resource embodied by user, can obtain the Jie Kade similarity factors between user：So
The reciprocal factor between user is defined by the physical distance between the Jie Kade similarity factors between user and user afterwards：
S30：An allocation matrix X is defined, is designated as：And buyer is collected, it is designated as { c1,c2,…,cn,
Broadcast spectrum auction information in a network, the auction information includes the idle frequency band { f that authorized user possesses1,f2,…,fm-1,
fm, and each authorized user is { a to the valency of guaranteeing the minimum of the frequency band of oneself1,a2,…,am-1,am, and each buyer is to each frequency
The appraisal of band is Bi={ bi1,bi2,…,bim}；
S40：The authenticity and validity of auction are ensured by setting auction rules, the interests of seller and buyer are taken into account, to realize
The maximization of utility of whole auction system
The auction rules are：It need to be higher than the price of guaranteeing the minimum of corresponding authorized user to participating in auction buyer bid, just have an opportunity to obtain
Frequency band is obtained, the allocation result when auction reaches Nash Equilibrium state is exactly the maximized allocative decision of system utility；Specifically
Optimizing Allocation is modeled as：WhereinRepresent that unique user is obtained
The effectiveness of frequency band；The income of user is：λuij-bij, λ is weighted value, λ uijThe value that user's i service bands j is produced is represented, is awarded
Weighing user's income is：bij-aij；If the bid of buyer is respectively less than the valency of guaranteeing the minimum of authorized user, End of Auction, from new next round
Spectrum auction；
S50 is solved to optimization problem, obtains final allocation matrix X
Formula 2. in, xikBe the apportioning cost after End of Auction, take 0 or 1, be worth for 1 when represent auction frequency spectrum success；N auctions to participate in
Buyer's number, m is the frequency band number that contains of authorized user；Second restrictive condition is if two users have interference, a frequency
Band can only give one in two buyers；3rd restrictive condition is that a user can only obtain one in each round auction
The frequency band of preference；Suboptimal solution is solved using quantum genetic intelligent optimization algorithm, and then obtains final allocation matrix.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148434.XA CN106973390A (en) | 2017-03-14 | 2017-03-14 | The spectrum auction method of social networks is combined in a kind of femtocell heterogeneous network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148434.XA CN106973390A (en) | 2017-03-14 | 2017-03-14 | The spectrum auction method of social networks is combined in a kind of femtocell heterogeneous network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106973390A true CN106973390A (en) | 2017-07-21 |
Family
ID=59329395
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710148434.XA Pending CN106973390A (en) | 2017-03-14 | 2017-03-14 | The spectrum auction method of social networks is combined in a kind of femtocell heterogeneous network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106973390A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107580328A (en) * | 2017-08-16 | 2018-01-12 | 桂林电子科技大学 | The spectrum auction method of social mutual trust is applied in a kind of femtocell isomery junction network |
| CN108391257A (en) * | 2018-02-26 | 2018-08-10 | 重庆邮电大学 | Resource allocation methods based on Game Theory under a kind of community network D2D scenes |
| CN111656832A (en) * | 2018-01-15 | 2020-09-11 | 特许通讯运营公司 | Methods and apparatus for granting allocation and coordination of wireless spectrum across multiple entities |
-
2017
- 2017-03-14 CN CN201710148434.XA patent/CN106973390A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107580328A (en) * | 2017-08-16 | 2018-01-12 | 桂林电子科技大学 | The spectrum auction method of social mutual trust is applied in a kind of femtocell isomery junction network |
| CN111656832A (en) * | 2018-01-15 | 2020-09-11 | 特许通讯运营公司 | Methods and apparatus for granting allocation and coordination of wireless spectrum across multiple entities |
| CN111656832B (en) * | 2018-01-15 | 2023-07-04 | 特许通讯运营公司 | Method and apparatus for grant wireless spectrum allocation and coordination across multiple entities |
| CN108391257A (en) * | 2018-02-26 | 2018-08-10 | 重庆邮电大学 | Resource allocation methods based on Game Theory under a kind of community network D2D scenes |
| CN108391257B (en) * | 2018-02-26 | 2023-09-26 | 重庆邮电大学 | Resource allocation method based on auction theory in social network D2D scene |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Du et al. | Contract design for traffic offloading and resource allocation in heterogeneous ultra-dense networks | |
| Du et al. | Auction design and analysis for SDN-based traffic offloading in hybrid satellite-terrestrial networks | |
| Wu et al. | A scalable collusion-resistant multi-winner cognitive spectrum auction game | |
| Wang et al. | Quality-optimized joint source selection and power control for wireless multimedia D2D communication using Stackelberg game | |
| CN104639307B (en) | Resource allocation methods in wireless network virtualization | |
| CN103796211A (en) | Distribution method of united power and channels in cognitive wireless network | |
| CN106028346B (en) | A kind of spectrum auction method of cell | |
| Li et al. | Users first: Service-oriented spectrum auction with a two-tier framework support | |
| CN106550369A (en) | A kind of spectrum auction method of the two-layer heterogeneous network comprising cell | |
| Wang et al. | A truthful QoS-aware spectrum auction with spatial reuse for large-scale networks | |
| CN106973390A (en) | The spectrum auction method of social networks is combined in a kind of femtocell heterogeneous network | |
| Li et al. | Mobile data offloading with uniform pricing and overlaps | |
| Zhao et al. | A KNN learning algorithm for collusion-resistant spectrum auction in small cell networks | |
| Chen et al. | An auction-based spectrum leasing mechanism for mobile macro-femtocell networks of IoT | |
| Touati et al. | A controlled matching game for WLANs | |
| Zhang et al. | Virtualization of 5G cellular networks: A combinatorial double auction approach | |
| Zhang et al. | QoS-based incentive mechanism for mobile data offloading | |
| Zhang et al. | On-demand receiver-centric channel allocation via constrained VCG auction for spatial spectrum reuse | |
| WO2019213950A1 (en) | A sequential auction game for qos-aware user association in heterogeneous cellular networks | |
| CN107580328A (en) | The spectrum auction method of social mutual trust is applied in a kind of femtocell isomery junction network | |
| CN107911823A (en) | The distribution method of the anti-strategy manipulation frequency spectrum of multichannel, computer program, computer | |
| CN106658518A (en) | Variable step stepping-type frequency spectrum auction method for femtocell base stations in two-layer heterogeneous network | |
| Pourkabirian et al. | Dynamic resource allocation for OFDMA femtocell networks: a game-theoretic approach | |
| Wang et al. | D-frost: Distributed frequency reuse-based opportunistic spectrum trading via matching with evolving preferences | |
| CN106412921B (en) | The grouping spectrum auction method of heterogeneous network comprising Home eNodeB |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170721 |
|
| RJ01 | Rejection of invention patent application after publication |