DocumentCode :
244281
Title :
Low Information-Exchange and Robust Distributed MMSE Precoding Algorithm for C-RAN
Author :
Na Li ; Chengwen Xing ; Zesong Fei ; Liang Sun ; Ming Lei
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear :
2014
fDate :
18-21 May 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, the low information-exchange and robust precoding design for distributed antenna systems is investigated, which is of great importance for the new mobile network architecture namely cloud radio access networks (C-RAN). Relying on an interesting low complexity decomposition algorithm, a distributed robust linear minimum mean-square-error (LMMSE) precoding algorithm is proposed. Exploiting the elegant properties of the decomposition algorithm, the precoder design problem can be decomposed into several subproblems. In addition, all the subproblems can be performed in parallel term. Moreover for the proposed algorithm there is no need of an extra step to calculate the Lagrange multipliers at each iteration. Thus the exchanging information of the algorithm can be significantly reduced. Finally, it is demonstrated by the simulation that the proposed algorithm enjoys both satisfying convergence properties and better performance.
Keywords :
antennas; cloud computing; distributed algorithms; iterative methods; least mean squares methods; mobile computing; mobile radio; network coding; precoding; radio access networks; C-RAN; Lagrange multipliers; cloud radio access networks; distributed antenna systems; low complexity decomposition algorithm; low information-exchange; minimum mean-square-error; mobile network architecture; robust distributed MMSE precoding algorithm; Algorithm design and analysis; Antennas; Channel estimation; Convergence; Optimization; Receivers; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2014 IEEE 79th
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/VTCSpring.2014.7022978
Filename :
7022978
Link To Document :
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