ARM: Anonymous Rating Mechanism for Discrete Power Control
2017-02
会议录名称IEEE TRANSACTIONS ON MOBILE COMPUTING (IF:7.7[JCR-2023],6.5[5-Year])
ISSN1536-1233
卷号16
期号2
页码326-340
发表状态已发表
DOI10.1109/TMC.2016.2549007
摘要Wireless interference management through continuous power control has been extensively studied in the literature. However, practical systems often adopt discrete power control with a limited number of power levels and MCSs (Modulation Coding Schemes). In general, discrete power control is NP-hard due to its combinatorial nature. To tackle this challenge, we propose an innovative approach of interference management: ARM (Anonymous Rating Mechanism). Inspired by the successes of the simple anonymous rating mechanism in E-commerce, we develop ARM as distributed near-optimal algorithm for solving the discrete power control problem (i.e., the joint scheduling, power allocation, and modulation coding adaption problem) under the physical interference model. We show that ARM achieves a close-to-optimal network throughput with a low control overhead. We also characterize the performance gap of ARM with the theoretical optimal solution due to the loss of rating information, and study the trade-off between such gap and the convergence time of ARM. We present numerical results with practical parameter choices to validate the theoretical findings, and highlight the impacts of approximation factor, the number of power levels, and the incomplete rating information.
关键词Anonymous rating mechanism Markov approximation discrete power control
会议地点Mumbai, India
会议日期25-29 May 2015
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收录类别SCI ; CPCI ; EI
语种英语
资助项目General Research Funds[CUHK 412713] ; General Research Funds[14202814]
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Telecommunications
WOS记录号WOS:000393808500003
出版者IEEE COMPUTER SOC
EI入藏号20170403272289
EI主题词ARM processors ; Economic and social effects ; Modulation ; Optimization ; Rating
EI分类号Computer Circuits and Logic Elements:721 ; Specific Variables Control:731.3 ; Optimization Techniques:921.5 ; Social Sciences:971
WOS关键词SUM-RATE MAXIMIZATION ; CONTROL ALGORITHM ; NETWORKS
原始文献类型Article
来源库IEEE
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文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/1519
专题信息科学与技术学院
信息科学与技术学院_PI研究组_邵子瑜组
作者单位
1.Bell Labs, Shanghai, China
2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
3.Department of Information Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong
推荐引用方式
GB/T 7714
Shuqin Li,Ziyu Shao,Jianwei Huang. ARM: Anonymous Rating Mechanism for Discrete Power Control[C]:IEEE COMPUTER SOC,2017:326-340.
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