A Game Theoretic Model for the Gaussian Broadcast Channel

被引:0
|
作者
Yerramalli, Srinivas [1 ]
Jain, Rahul [1 ]
Mitra, Urbashi [1 ]
机构
[1] Univ So Calif, Los Angeles, CA 90089 USA
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The strategic behavior of receivers (players) in a multiple-input multiple-output Gaussian broadcast channel is investigated using the framework of non-cooperative game theory. In contrast to the non-cooperative Gaussian multiple access channel game in which each player's feasible set of actions is independent of the actions of other players, the action space of receivers in the Gaussian broadcast channel is mutually coupled, usually by a sum power or joint covariance constraint, and hence cannot be treated using traditional Nash equilibrium solution concepts. To characterize the strategic behavior of receivers in a broadcast channel game, this paper treats the broadcast channel power allocation (or covariance matrix selection) as a generalized Nash equilibrium problem with common constraints. The concept of normalized equilibrium (NoE) is used to characterize the equilibria and the existence and uniqueness of NoEs are proven for key scenarios.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Game Theoretic Considerations for the Gaussian Multiple Access Channel
    Gajic, Vojislav
    Rimoldi, Bixio
    [J]. 2008 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-6, 2008, : 2523 - 2527
  • [2] GAME THEORETIC JAMMING CONTROL FOR THE GAUSSIAN INTERFERENCE WIRETAP CHANNEL
    Yuan, Zhengmao
    Wang, Shenghui
    Xiong, Ke
    Xing, Jiajai
    [J]. 2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2014, : 1749 - 1754
  • [3] A Control-Theoretic Linear Coding Scheme for the Fading Gaussian Broadcast Channel with Feedback
    Li, Siyao
    Tuninetti, Daniela
    Devroye, Natasha
    [J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2021, : 1 - 6
  • [4] Gaussian Broadcast Channel With Feedback
    Bhaskaran, Sibi Raj
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2008, 54 (11) : 5252 - 5257
  • [5] Gaussian degraded relay broadcast channel
    Bhaskaran, Sibi Raj
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2008, 54 (08) : 3699 - 3709
  • [6] ERROR PROBABILITIES FOR GAUSSIAN BROADCAST CHANNEL
    MORII, F
    NAKANISHI, H
    TEZUKA, Y
    [J]. ELECTRONICS & COMMUNICATIONS IN JAPAN, 1976, 59 (06): : 18 - 26
  • [7] Gaussian broadcast channel with lossy state reconstruction
    Ramachandran, Viswanathan
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2019, 5 (03) : 176 - 182
  • [8] Sum capacity of a Gaussian vector broadcast channel
    Yu, W
    Cioffi, JM
    [J]. ISIT: 2002 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS, 2002, : 498 - 498
  • [9] The capacity region of the Gaussian MIMO broadcast channel
    Weingarten, H
    Steinberg, Y
    Shamai, S
    [J]. 2004 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS, 2004, : 174 - 174
  • [10] Scheduling on the Gaussian Broadcast Channel with Hard Deadlines
    Tuninetti, Daniela
    Smida, Besma
    Devroye, Natasha
    Seferoglu, Hulya
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,