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

Gemmi et al., 2022 - Google Patents

On the properties of next generation wireless backhaul

Gemmi et al., 2022

View PDF
Document ID
3092270765565098151
Author
Gemmi G
Cigno R
Maccari L
Publication year
Publication venue
IEEE Transactions on Network Science and Engineering

External Links

Snippet

With the advent of 5G, cellular networks require a high number of base stations, possibly interconnected with wireless links, an evolution introduced in the last revision of 5G as the Integrated Access and Backhaul (IAB). Researchers are now working to optimize the …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22—Traffic simulation tools or models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/023—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/04—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using association of physical positions and logical data in a dedicated environment, e.g. buildings or vehicles
    • H04W4/043—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using association of physical positions and logical data in a dedicated environment, e.g. buildings or vehicles using ambient awareness, e.g. involving buildings using floor or room numbers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24—Cell structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design

Similar Documents

Publication Publication Date Title
Gemmi et al. On the properties of next generation wireless backhaul
Caillouet et al. Efficient data collection and tracking with flying drones
Fernandes et al. Scalable vanet simulations with ns-3
Laha et al. Edge nodes placement in 5g enabled urban vehicular networks: A centrality-based approach
CN104144425A (en) Network management device and method and device in wireless communication system
CN111163477A (en) A method for automatic deployment of integrated intelligent base stations in a wide-area three-dimensional environment
Cali et al. Percolation for D2D networks on street systems
Mnasri et al. A hybrid ant-genetic algorithm to solve a real deployment problem: a case study with experimental validation
US20200221314A1 (en) Analysis method and device for network design in wireless communication system
CN108259097A (en) The method and device of amendment radio transmission model based on MR data
Bharadwaj et al. Determination of optimal location for setting up cell phone tower in city environment using lidar data
Gemmi et al. On cost-effective, reliable coverage for los communications in urban areas
CN110366188B (en) Interference measurement point deployment method, interference measurement path planning method and system
CN103379576B (en) A kind of network clustering method of wireless sensor based on active dodge hot-zone and NLOS
Tennekes et al. A Bayesian approach to location estimation of mobile devices from mobile network operator data
Filiposka et al. Terrain-aware three-dimensional radio-propagation model extension for NS-2
Chowdhary et al. Addressing the characteristics of mobility models in IoV for smart city
Abdelkhalek et al. A genetic algorithm for a multi-objective nodes placement problem in heterogeneous network infrastructure for surveillance applications
Zhang et al. Trajectory Mining‐Based City‐Level Mobility Model for 5G NB‐IoT Networks
Koskinen et al. On improving connectivity of static ad-hoc networks by adding nodes
Gemmi et al. Vehicles or pedestrians: On the gNB placement in ultradense urban areas
Ghribi et al. Agent-based simulations for coverage extensions in 5G networks and beyond
Gemmi et al. Estimating coverage and capacity of high frequency mobile networks in ultradense urban areas
Nematy et al. Using Voronoi diagram and genetic algorithm to deploy nodes in wireless sensor network
Abdulla On the fundamentals of stochastic spatial modeling and analysis of wireless networks and its impact to channel losses