A low-rank approach for interference management in dense wireless networks
2016-12
会议录名称2016 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP)
页码708-712
发表状态已发表
DOI10.1109/GlobalSIP.2016.7905934
摘要The curse of big data, propelled by the explosive growth of mobile devices, places overwhelming pressures on wireless communications. Network densification is a promising approach to improve the area spectral efficiency, but to acquire massive channel state information (CSI) for effective interference management becomes a formidable task. In this paper, we propose a novel interference management method which only requires the network connectivity information, i.e., the knowledge of the presence of strong links, and statistical information of the weak links. To acquire such mixed network connectivity information incurs significant less overhead than complete CSI, and thus this method is scalable to large network sizes. To maximize the sum-rate with the mixed network connectivity information, we formulate a rank minimization problem to cancel strong interference and suppress weak interference, which is then solved by a Riemannian trust-region algorithm. Such algorithm is robust to initial points and has a fast convergence rate. Simulation result shows that our approach achieves a higher data rate than the state-of-the-art methods.
关键词Interference Wireless networks Minimization Manifolds Receivers Channel state information Robustness
会议地点Washington, DC
会议日期7-9 Dec. 2016
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收录类别EI
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20172003679525
EI主题词Big data ; Channel capacity ; Channel state information ; Communication channels (information theory) ; Optimization ; Wireless networks ; Wireless telecommunication systems
EI分类号Information Theory and Signal Processing:716.1 ; Radio Systems and Equipment:716.3 ; Data Processing and Image Processing:723.2 ; Optimization Techniques:921.5
原始文献类型Conferences
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文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/13367
专题信息科学与技术学院
信息科学与技术学院_PI研究组_石远明组
信息科学与技术学院_博士生
作者单位
1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
2.Dept. of ECE, The Hong Kong University of Science and Technology, Hong Kong
3.Dept. of ECE, University of California, Davis, California 95616, USA
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
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Kai Yang,Yuanming Shi,Jun Zhang,et al. A low-rank approach for interference management in dense wireless networks[C]:Institute of Electrical and Electronics Engineers Inc.,2016:708-712.
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