QoE Loss Probability Based Game-Theoretic Approach for Spectrum Sharing in Heterogeneous Networks

被引:0
|
作者
Xu, Qichao [1 ]
Su, Zhou [1 ]
Zhao, Qiyong [2 ]
Song, Jiantao [2 ]
Shen, Wenxue [2 ]
Wang, Ying [3 ]
Yang, Kan [4 ]
机构
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
[2] Huawei Technol, Shanghai, Peoples R China
[3] Beijing Univ Posts & Telecommun, Wireless Technol Innovat Inst, Beijing, Peoples R China
[4] Univ Memphis, Dept Comp Sci, Memphis, TN 38152 USA
关键词
Heterogeneous networks; experience blocking(EB) ratio; Spectrum sharing; Stackelberg game; INFRASTRUCTURE;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
With the rapid development of wireless communication and mobile devices, heterogeneous networks have emerged as a promising paradigm to enable users' data services. However, it lacks an experience blocking theory to optimize data services. Furthermore, due to the limited resources of spectrum, the spectrum sharing based on the quality of experience (QoE) in heterogeneous networks becomes a new challenge. Therefore, to tackle the above challenge, we present an experience blocking (EB) ratio based game-theoretic approach for spectrum sharing in heterogeneous networks where the small cell can lease the spare spectrum from macro cell. Specifically, firstly, a novel EB ratio based model is proposed to evaluate the efficiency of spectrum usage in a cell. Then a Stackelberg game is employed to formulate the interaction between macro cell and small cell according to the EB ratio. Finally, an EB table is given to evaluate the blocking status of a cell and simulation results show that the proposed scheme can improve the efficiency of spectrum sharing better than other schemes.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] A Game-Theoretic Approach to Achieving Bilateral Privacy-Utility Tradeoff in Spectrum Sharing
    Liu, Mengmeng
    Zhou, Xiangwei
    Sun, Mingxuan
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [42] Bilateral Privacy-Utility Tradeoff in Spectrum Sharing Systems: A Game-Theoretic Approach
    Liu, Mengmeng
    Zhou, Xiangwei
    Sun, Mingxuan
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (08) : 5144 - 5158
  • [43] Joint Task Assignment and Spectrum Allocation in Heterogeneous UAV Communication Networks: A Coalition Formation Game-Theoretic Approach
    Chen, Jiaxin
    Wu, Qihui
    Xu, Yuhua
    Qi, Nan
    Guan, Xin
    Zhang, Yuli
    Xue, Zhen
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (01) : 440 - 452
  • [44] JAMMING IN MOBILE NETWORKS: A GAME-THEORETIC APPROACH
    Bhattacharya, Sourabh
    Gupta, Abhishek
    Basar, Tamer
    NUMERICAL ALGEBRA CONTROL AND OPTIMIZATION, 2013, 3 (01): : 1 - 30
  • [45] A game-theoretic approach to Artificial Immune networks
    Velez, M
    Nino, F
    Alonso, OM
    ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS, 2004, 3239 : 372 - 385
  • [46] A game-theoretic approach for Generative Adversarial Networks
    Franci, Barbara
    Grammatico, Sergio
    2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 1646 - 1651
  • [47] A Game-Theoretic Approach to Coding for Information Networks
    Price, Jennifer
    Javidi, Tara
    2008 46TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING, VOLS 1-3, 2008, : 1397 - +
  • [48] Measuring productivity in networks: A game-theoretic approach
    Allouch, N.
    Guardiola, Luis A.
    Meca, A.
    SOCIO-ECONOMIC PLANNING SCIENCES, 2024, 91
  • [49] Coopetition Spectrum Trading in Cognitive Radio Networks: Game-Theoretic Modeling Approach
    Deng, Xiaofang
    Lin, Weihui
    Guan, Quansheng
    Qin, Huiping
    Jiang, Shengming
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION PROBLEM-SOLVING (ICCP), 2015, : 18 - 21
  • [50] QoE-oriented partially overlapping channel access in wireless networks: a game-theoretic learning approach
    Jing, Jianjun
    Yao, Kailing
    Xu, Yuhua
    Liu, Xin
    Zhang, Yuli
    Yao, Changhua
    WIRELESS NETWORKS, 2020, 26 (02) : 983 - 993