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Sparse precoding design for cloud-RANs sum-rate maximization
Ha, Vu Nguyen; Nguyen, Duy H. N.; Le, Long Bao
2015In 2015 IEEE Wireless Communications and Networking Conference (WCNC) proceedings
Peer reviewed
 

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Keywords :
C-RANs; sparse precoding design
Abstract :
[en] This paper considers a sparse precoding design for sum-rate maximization in a cloud radio access network (Cloud-RAN). Constrained by the fronthaul link capacity and transmit power limit at each remote radio head (RRH), the sparse design amounts to determine the precoders at the RRHs as well as the set of serving RRHs for each mobile user. In this work, we first formulate the fronthaul link constraints as non-convex and discontinuous constraints with sparsity terms. These sparsity terms are then iteratively approximated into linear forms by means of reweighted ℓ1-norm with conjugate functions. Finally, to determine the beamforming vectors, the non-convex sum-rate maximization problem with linear constraints is transformed into an equivalent problem of iterative weighted mean-squared error minimization. Convergence of the proposed iterative algorithm is then proved and verified by the presented numerical results. In addition, numerical results demonstrate the superior performance by the proposed algorithm over a previously proposed one in literature.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Ha, Vu Nguyen  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Nguyen, Duy H. N.
Le, Long Bao
External co-authors :
yes
Language :
English
Title :
Sparse precoding design for cloud-RANs sum-rate maximization
Publication date :
09 March 2015
Event name :
2015 IEEE Wireless Communications and Networking Conference (WCNC)
Event date :
from 09-12-2015 to 12-09-2015
Audience :
International
Main work title :
2015 IEEE Wireless Communications and Networking Conference (WCNC) proceedings
Publisher :
IEEE, New Orleans, LA, United States
ISBN/EAN :
978-1-4799-8406-0
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 12 May 2021

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