Utility function design for strategic radio resource management games: An overview, taxonomy, and research challenges

被引:8
|
作者
Yang, Chungang [1 ]
Li, Jiandong [1 ]
Ejaz, Waleed [2 ]
Anpalagan, Alagan [2 ]
Guizani, Mohsen [3 ]
机构
[1] Xidian Univ, State Key Lab ISN, Xian 710071, Peoples R China
[2] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON, Canada
[3] Univ Idaho, Dept Elect & Comp Engn, Moscow, ID 83843 USA
基金
美国国家科学基金会; 中国博士后科学基金;
关键词
AD HOC NETWORKS; CROSS-LAYER DESIGN; POWER-CONTROL; STACKELBERG GAME; THEORETIC APPROACH; POTENTIAL GAME; ALLOCATION; OPTIMIZATION; MAXIMIZATION; CONSTRAINTS;
D O I
10.1002/ett.3128
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Radio resource management is important for wireless communication networks. Game theory has been extensively used to model, analyze, and design interactive behaviors and the strategic decision-making for radio resource management. It is known that utility function is one of the critical elements in a game, which characterizes the preferred relationship of the rational players and is a function of the action of players and their opponents. We first overview the basics of game theory and utility functions. We then present a taxonomy of utility functions with respect to different types of players, the nature of actions, and preferences in terms of the fairness, quality of service, and quality of experience. We provide some insights based on the taxonomy of utility functions, which provides the readers with a comprehensive view. Following that, we also discuss other types of traffic-aware utility functions with different fairness and the potential and super modular game-theoretic utility functions. In addition, we summarize the desired properties and observations for the design of suitable utility functions. Finally, we investigate impacts of the pricing in utility functions. This article ends with the conclusions and a promising view on open problems and challenges with possible future research directions.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Issues of fit in strategic human resource management: Implications for research
    Delery, JE
    HUMAN RESOURCE MANAGEMENT REVIEW, 1998, 8 (03) : 289 - 309
  • [22] Research on the Impact of Strategic Human Resource Management on Enterprise Performance
    Zhao, Hongli
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON HUMANITIES SCIENCE, MANAGEMENT AND EDUCATION TECHNOLOGY (HSMET 2017), 2017, 96 : 113 - 117
  • [23] Research methods for the empirical study of strategic human resource management
    Harness, Tina
    QUALITATIVE MARKET RESEARCH, 2009, 12 (03): : 321 - 336
  • [24] Research on Strategic Human Resource Management Innovation-oriented
    Sun Bo
    2010 SECOND INTERNATIONAL CONFERENCE ON E-LEARNING, E-BUSINESS, ENTERPRISE INFORMATION SYSTEMS, AND E-GOVERNMENT (EEEE 2010), VOL I, 2010, : 28 - 32
  • [25] Research on Strategic Human Resource Management Innovation-Oriented
    Bo, Sun
    INNOVATIVE COMPUTING AND INFORMATION, PT II, 2011, 232 : 475 - 483
  • [26] Research on the Impact of Strategic Human Resource Management on Enterprise Performance
    Yan, Xi-mu
    Liu, He
    Gao, Xue
    PROCEEDINGS OF THE 3D INTERNATIONAL CONFERENCE ON APPLIED SOCIAL SCIENCE RESEARCH, 2016, 105 : 176 - 179
  • [27] A Research on Strategic Human Resource Management-An Integrated Model
    Gao Suying
    Zhao Shuming
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, 2009, : 651 - 656
  • [28] Research on Strategic Human Resource Management and Its Theoretical Foundation
    Jing, Zhang
    PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY, MANAGEMENT AND HUMANITIES SCIENCE, 2016, 50 : 340 - 344
  • [29] Opportunities and challenges in software radio design for interference management
    Vanu Inc., Cambridge, MA, United States
    不详
    不详
    Int J Network Manage, 2006, 2 (149-156):
  • [30] Research and Top-level Framework Design on Unified Resource Management of Big Data in Strategic Consulting
    Song, Meina
    Xu, Xiangyu
    E, Haihong
    3RD INTERNATIONAL CONFERENCE ON BIG DATA AND INTERNET OF THINGS (BDIOT 2019), 2018, : 8 - 12