Title :
Robust Low-Complexity MMSE Precoding Algorithm for Cloud Radio Access Networks
Author :
Na Li ; Zesong Fei ; Chengwen Xing ; Dalin Zhu ; Ming Lei
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Abstract :
In this paper, the robust transceiver design for multi-cell distributed antenna systems is investigated, which is of great importance for the future mobile communication network architecture namely cloud radio access networks (C-RAN). In order to make the algorithm suitable for the multi-cell network with a large number of remote radio heads (RRHs), a low complexity robust design is proposed based on alternating direction method of multipliers (ADMM) algorithm. Exploiting the elegant properties of ADMM algorithm, the complicated relationship between the optimization objective and the per-antenna power constraint is decoupled by introducing an auxiliary variable. Meanwhile the complexity of the proposed algorithm is also significantly reduced. Finally, it is demonstrated by the simulation that the proposed robust algorithm has better performance than the existing non-robust design.
Keywords :
cloud computing; least mean squares methods; optimisation; precoding; radio access networks; ADMM algorithm; C-RAN; RRH; alternating direction method of multipliers algorithm; auxiliary variable; cloud radio access networks; mobile communication network architecture; multicell distributed antenna systems; optimization objective; per-antenna power constraint; remote radio heads; robust low-complexity MMSE precoding algorithm; robust transceiver design; Algorithm design and analysis; Channel estimation; Complexity theory; Optimization; Robustness; Signal processing algorithms; Transceivers; ADMM; C-RAN; robust precoding design;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.030914.132683