A compendium of optimization techniques for green radio resource management

2017 ◽  
Vol 66 (3) ◽  
pp. 447-468
Author(s):  
Farooq Alam Orakzai ◽  
Muhammad Iqbal ◽  
Ayaz Ahmad ◽  
Muhammad Naeem
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Optimization Techniques ◽  
Radio Resource ◽  
Green Radio

Smart spectrum and radio resource management for future 5G networks

2021 ◽  
Vol 193 ◽  
pp. 108089
Author(s):  
Miguel López-Benítez ◽  
Alessandro Raschellà ◽  
Sara Pizzi ◽  
Li Wang ◽  
Marco Di Felice ◽  
...  
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
5G Networks ◽  
Radio Resource

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.

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