Radio Resource Management Algorithm for Uplink Coordinated Cooperative Spatial Multiplexing

2010 ◽  
Vol 21 (11) ◽  
pp. 1311-1317
Author(s):  
Cheol Mun ◽  
Han-Shin Jo
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Spatial Multiplexing ◽  
Radio Resource ◽  
Management Algorithm

scholarly journals Stackelberg Game-Based Radio Resource Management Algorithm in an Urban Rail Transit Communication System

2021 ◽  
Author(s):  
Yingxia Shao ◽  
Hailin Jiang ◽  
Hongli Zhao
Keyword(s):  
Resource Management ◽  
Stackelberg Game ◽  
Radio Resource Management ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Radio Resource ◽  
Time Frequency ◽  
Management Algorithm ◽  
Urban Rail ◽  
Communication Modes

AbstractTrain-to-wayside (T2W) and train-to-train (T2T) communication modes may coexist in future train-centric communication-based train control (CBTC) systems. The feasibility of T2T communication in urban rail transit is analyzed first. Referring to the device-to-device (D2D) communication scenario in the general cellular network, this paper establishes a radio resource optimization model for the coexistence of train-to-train communication and train-to-wayside communication. With the aim of more efficient scheduling of radio time-frequency resources in the dedicated frequency band, we propose a Stackelberg game-based radio resource management algorithm based on the consideration of different service priorities of trains. The analysis and simulation results show that the proposed algorithm can effectively guarantee the performance of the system and improve the reliability of the CBTC system.

Game Theory Based Radio Resource Management Algorithm for Packet Access Cellular Networks

2017 ◽  
Vol 9 (1) ◽  
pp. 19-32
Author(s):  
Mihály Varga ◽  
Zsolt Alfréd Polgár
Keyword(s):  
Game Theory ◽  
Resource Management ◽  
Radio Resource Management ◽  
Low Complexity ◽  
Radio Resource ◽  
Average Delay ◽  
Management Algorithm ◽  
High Spectral Efficiency ◽  
Suboptimal Solution ◽  
Multidimensional Optimization

AbstractThe goal of Radio Resource Management (RRM) mechanisms is to allocate the transmission resources to the users such that the transmission requests are satisfied while several constraints are fulfilled. These constraints refer to low complexity and power consumption and high spectral efficiency and can be met by multidimensional optimization. This paper proposes a Game Theory (GT) based suboptimal solution to this multidimensional optimization problem. The results obtained by computer simulations show that the proposed RRM algorithm brings significant improvement in what concerns the average delay and the throughput, compared to other RRM algorithms, at the expense of somewhat increased complexity.

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