DocumentCode :
1759164
Title :
Leakage-based distributed minimum-mean-square error beamforming for relay-assisted cloud radio access networks
Author :
Zesong Fei ; Chengwen Xing ; Na Li ; Dalin Zhu ; Ming Lei
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Volume :
8
Issue :
11
fYear :
2014
fDate :
July 24 2014
Firstpage :
1883
Lastpage :
1891
Abstract :
In this study, the authors investigate the linear minimum-mean-square-error beamforming design for relay-assisted cloud radio access network (C-RAN). A standard C-RAN architecture separates baseband processing units and wireless radio units in order to save energy cost. To further enhance network coverage, several relay nodes (RNs) are also deployed. Regrading the per-antenna power constraints at both of the remote radio heads (RRHs) and the RNs in the author´s work the beamforming matrices at the RRHs and RNs are `jointly´ optimised for the considered relay assisted C-RAN. The considered optimisation problem is a non-convex and multiple variable optimisation problem which is in general very hard to solve. In order to make the design suitable for large scale networks exploiting to the problem structure a novel two stage decomposition algorithms are proposed. Finally, a detailed mean-square-error performance comparison is given by the simulations.
Keywords :
array signal processing; mean square error methods; optimisation; radio access networks; baseband processing units; beamforming matrices; leakage-based distributed minimum-mean-square error beamforming; linear minimum-mean-square-error beamforming design; mean-square-error performance; multiple variable optimisation problem; novel two stage decomposition algorithms; optimisation problem; per-antenna power constraints; relay nodes; relay-assisted cloud radio access networks; remote radio heads; standard C-RAN architecture; wireless radio units;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2013.0905
Filename :
6855935
Link To Document :
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