A Unified Cooperative Radio Resource Management Game

被引:0
作者
Yang, Chungang [1 ]
机构
[1] Xidian Univ, State Key Lab ISN, Xian 710071, Peoples R China
来源
2013 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC) | 2013年
关键词
Cooperative game; Nash bargaining; Pareto optimal; Resource management; Wireless communication; ALLOCATION GAMES; FAIRNESS; NETWORKS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Both fairness and efficiency are natural performance metrics of radio resource management (RRM) in wireless communication systems. However, taking both of them into account simultaneously in one formulated RRM model is non-trivial, because promoting the one typically involves compromising on the other one. In this paper, both symmetric and asymmetric cooperative game-theoretical rate control games are formulated in one unified preference function design. Closed-form of optimal rates are derived for two-player game to achieve optimal tradeoffs between Nash fairness and Nash axiomatic efficiency. We illustrate and provide the analyzed results of both symmetric and asymmetric rate control schemes. Finally, we conclude that the optimal setting of bargaining powers can help to improve both fairness and efficiency of the rate control.
引用
收藏
页码:242 / 246
页数:5
相关论文
共 50 条
[41]   Research on the distribution and application of business group resource based on multidimensional and cooperative game [J].
Bai Chengcheng ;
Ma Junhai .
INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3, 2011, 58-60 :107-111
[42]   Adapative Resource Allocation for Downlink OFDMA Networks Using Cooperative Game Theory [J].
Zhang, Guopeng ;
Zhang, Hailin .
2008 11TH IEEE SINGAPORE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS), VOLS 1-3, 2008, :98-103
[43]   Research on Unified Resource Management and Scheduling System in Cloud Environment [J].
Jiang, Hua ;
Xiao, Yanli .
WIRELESS PERSONAL COMMUNICATIONS, 2018, 102 (02) :963-973
[44]   Research on Unified Resource Management and Scheduling System in Cloud Environment [J].
Hua Jiang ;
Yanli Xiao .
Wireless Personal Communications, 2018, 102 :963-973
[45]   A compendium of optimization techniques for green radio resource management [J].
Farooq Alam Orakzai ;
Muhammad Iqbal ;
Ayaz Ahmad ;
Muhammad Naeem .
Telecommunication Systems, 2017, 66 :447-468
[46]   Enhanced Cognitive Radio Resource Management for LTE Systems [J].
AlQerm, Ismail ;
Shihada, Basem ;
Shin, Kang G. .
2013 IEEE 9TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB), 2013, :565-570
[47]   A compendium of optimization techniques for green radio resource management [J].
Orakzai, Farooq Alam ;
Iqbal, Muhammad ;
Ahmad, Ayaz ;
Naeem, Muhammad .
TELECOMMUNICATION SYSTEMS, 2017, 66 (03) :447-468
[48]   Radio Resource Management Techniques for Multibeam Satellite Systems [J].
Kisseleff, Steven ;
Lagunas, Eva ;
Abdu, Tedros Salih ;
Chatzinotas, Symeon ;
Ottersten, Bjorn .
IEEE COMMUNICATIONS LETTERS, 2021, 25 (08) :2448-2452
[49]   A Radio Resource Management Based on Cognitive Capability Heterogeneity [J].
Chen, Jie .
2010 5TH INTERNATIONAL ICST CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM), 2010,
[50]   A Deep Reinforcement Learning-Based Resource Management Game in Vehicular Edge Computing [J].
Zhu, Xiaoyu ;
Luo, Yueyi ;
Liu, Anfeng ;
Xiong, Neal N. ;
Dong, Mianxiong ;
Zhang, Shaobo .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (03) :2422-2433