Open AccessLeakage‐based distributed minimum‐mean‐square error beamforming for relay‐assisted cloud radio access networks
Author(s) -
Fei Zesong,
Xing Chengwen,
Li Na,
Zhu Dalin,
Lei Ming
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.0905
Subject(s) - computer science , relay , beamforming , minimum mean square error , radio access network , c ran , baseband , wireless , remote radio head , mean squared error , computer network , power (physics) , telecommunications , base station , mathematics , cognitive radio , bandwidth (computing) , mobile station , statistics , physics , quantum mechanics , estimator
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.