King's College London

Research portal

Power-Efficient Transmission for User-Centric Networks with Limited Fronthaul Capacity and Computation Resource

Research output: Contribution to journalArticle

Jianfeng Shi, Xiao Chen, Nuo Huang, Hao Jiang, Zhaohui Yang, Ming Chen

Original languageEnglish
Article number9119454
Pages (from-to)5649-5660
Number of pages12
JournalIEEE TRANSACTIONS ON COMMUNICATIONS
Volume68
Issue number9
DOIs
PublishedSep 2020

King's Authors

Abstract

With the rapid development of cloud computing, the user-centric networks with the baseband unit pool have attracted a great deal of attentions in academic and industrial fields. However, limited fronthaul capacity and computation resource have become the bottlenecks inevitably. Thus, this paper investigates the power-efficient transmission in user-centric networks by considering both fronthaul capacity and computation resource constraints, where multiple access points (APs) and user equipments (UEs) are distributed. Specifically, a joint optimization of the beamforming vectors, AP-UE association strategy and transmission time is proposed to minimize the total power consumption (TPC). The formulated mixed integer non-linear problem (MINLP) is NP-hard. To address this problem, the MINLP is first transformed into a convex one via the successive convex approximation and semidefinite relaxation methods. Then, an iterative but effective algorithm is designed by using the property of the solution and applying the Lagrangian dual method. Simulation results show that the proposed algorithm converges rapidly and outperforms benchmark algorithms in terms of TPC.

View graph of relations

© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454