Layered group sparse beamforming for cache-Enabled green wireless networks

Xi Peng, Yuanming Shi, Jun Zhang, Khaled B. Letaief

Research output: Journal article publicationJournal articleAcademic researchpeer-review

29 Citations (Scopus)


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 12-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.

Original languageEnglish
Pages (from-to)5589-5603
Number of pages15
JournalIEEE Transactions on Communications
Issue number12
Publication statusPublished - Dec 2017
Externally publishedYes


  • Content-centric wireless networks
  • Convex approximation
  • Green communications
  • Layered group sparse beamforming
  • Multicasting beamforming
  • Network power minimization
  • Wireless caching

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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