ShanghaiTech University Knowledge Management System
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]) |
ISSN | 1536-1233 |
卷号 | 16 |
期号 | 2 |
页码 | 326-340 |
发表状态 | 已发表 |
DOI | 10.1109/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 |
URL | 查看原文 |
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 |
引用统计 | 正在获取...
|
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 |
修改评论
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。