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Layered Group Sparse Beamforming for Cache-Enabled Green Wireless Networks | |
2017-12 | |
发表期刊 | IEEE TRANSACTIONS ON COMMUNICATIONS |
ISSN | 0090-6778 |
卷号 | 65期号:12页码:5589-5603 |
发表状态 | 已发表 |
DOI | 10.1109/TCOMM.2017.2745579 |
摘要 | The exponential growth of mobile data traffic is driving the deployment of dense wireless networks, which will not only impose heavy backhaul burdens, but also generate considerable power consumption. Introducing caches to the wireless network edge is a potential and cost-effective solution to address these challenges. In this paper, we will investigate the problem of minimizing the network power consumption of cache-enabled wireless networks, consisting of the base station (BS) and backhaul power consumption. The objective is to develop efficient algorithms that unify adaptive BS selection, backhaul content assignment, and multicast beamforming, while taking account of user QoS requirements and backhaul capacity limitations. To address the NP-hardness of the network power minimization problem, we first propose a generalized layered group sparse beamforming (LGSBF) modeling framework, which helps to reveal the layered sparsity structure in the beamformers. By adopting the reweighted l(1)/l(2)-norm technique, we further develop a convex approximation procedure for the LGSBF problem, followed by a three-stage iterative LGSBF framework to induce the desired sparsity structure in the beamformers. Simulation results validate the effectiveness of the proposed algorithm in reducing the network power consumption, and demonstrate that caching plays a more significant role in networks with higher user densities and less power-efficient backhaul links. |
关键词 | Wireless caching content-centric wireless networks multicasting beamforming layered group sparse beamforming convex approximation network power minimization green communications |
URL | 查看原文 |
收录类别 | SCI ; EI |
语种 | 英语 |
资助项目 | National Nature Science Foundation of China (NSFC)[61601290] |
WOS研究方向 | Engineering ; Telecommunications |
WOS类目 | Engineering, Electrical & Electronic ; Telecommunications |
WOS记录号 | WOS:000418518900036 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS关键词 | MIMO CELLULAR NETWORKS ; CONTENT DELIVERY ; ENERGY ; TRANSMISSION ; MULTICAST ; POWER |
原始文献类型 | Article |
来源库 | IEEE |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/14249 |
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 |
作者单位 | 1.Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong 2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 3.Hamad bin Khalifa University, Doha, Qatar |
推荐引用方式 GB/T 7714 | Xi Peng,Yuanming Shi,Jun Zhang,et al. Layered Group Sparse Beamforming for Cache-Enabled Green Wireless Networks[J]. IEEE TRANSACTIONS ON COMMUNICATIONS,2017,65(12):5589-5603. |
APA | Xi Peng,Yuanming Shi,Jun Zhang,&Khaled B. Letaief.(2017).Layered Group Sparse Beamforming for Cache-Enabled Green Wireless Networks.IEEE TRANSACTIONS ON COMMUNICATIONS,65(12),5589-5603. |
MLA | Xi Peng,et al."Layered Group Sparse Beamforming for Cache-Enabled Green Wireless Networks".IEEE TRANSACTIONS ON COMMUNICATIONS 65.12(2017):5589-5603. |
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