Layered Group Sparse Beamforming for Cache-Enabled Green Wireless Networks
Peng, Xi1; Shi, Yuanming2; Zhang, Jun1; Letaief, Khaled B.1,3
2017-12
Source PublicationIEEE TRANSACTIONS ON COMMUNICATIONS
ISSN0090-6778
Volume65Issue:12Pages:5589-5603
Status已发表
DOI10.1109/TCOMM.2017.2745579
AbstractThe 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.
KeywordWireless caching content-centric wireless networks multicasting beamforming layered group sparse beamforming convex approximation network power minimization green communications
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Indexed BySCI
Language英语
Funding ProjectNational Nature Science Foundation of China (NSFC)[61601290]
WOS Research AreaEngineering ; Telecommunications
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000418518900036
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS KeywordMIMO CELLULAR NETWORKS ; CONTENT DELIVERY ; ENERGY ; TRANSMISSION ; MULTICAST ; POWER
Original Document TypeArticle
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttps://kms.shanghaitech.edu.cn/handle/2MSLDSTB/14249
Collection信息科学与技术学院_PI研究组_石远明组
Corresponding AuthorZhang, Jun
Affiliation1.Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Hong Kong, Peoples R China
2.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 200031, Peoples R China
3.Hamad Bin Khalifa Univ, Doha, Qatar
Recommended Citation
GB/T 7714
Peng, Xi,Shi, Yuanming,Zhang, Jun,et al. Layered Group Sparse Beamforming for Cache-Enabled Green Wireless Networks[J]. IEEE TRANSACTIONS ON COMMUNICATIONS,2017,65(12):5589-5603.
APA Peng, Xi,Shi, Yuanming,Zhang, Jun,&Letaief, Khaled B..(2017).Layered Group Sparse Beamforming for Cache-Enabled Green Wireless Networks.IEEE TRANSACTIONS ON COMMUNICATIONS,65(12),5589-5603.
MLA Peng, Xi,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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