ShanghaiTech University Knowledge Management System
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 |
DOI | 10.1109/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 |
URL | 查看原文 |
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 |
引用统计 | |
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 |
推荐引用方式 GB/T 7714 | 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. |
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 |
个性服务 |
查看访问统计 |
谷歌学术 |
谷歌学术中相似的文章 |
[Kai Yang]的文章 |
[Yuanming Shi]的文章 |
[Jun Zhang]的文章 |
百度学术 |
百度学术中相似的文章 |
[Kai Yang]的文章 |
[Yuanming Shi]的文章 |
[Jun Zhang]的文章 |
必应学术 |
必应学术中相似的文章 |
[Kai Yang]的文章 |
[Yuanming Shi]的文章 |
[Jun Zhang]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
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。