Paper Info
Title
Resource allocation and transmission optimization for MIMO cognitive femtocells
Abstract
This paper considers resource allocation and transmission optimization for femtocell networks, where the orthogonal frequency division multiple access (OFDMA) strategy is used to cope with the multi-user communication. In an attempt to mitigate cross-tier interference and optimize multi-user network performance, a two-layered beamforming scheme is proposed, facilitated by the multiple-input-multiple-output (MIMO) transmission. Two different operation models are discussed, namely open and closed access. It is shown that the beamforming design problem for closed access turns out to be convex and can be efficiently solved, whereas a non-convex optimization has to be treated when adopting the open access. For the latter non-convex problem, we propose an iterative algorithm, which has ensured convergence and closed-form solutions for subproblems of each alternating step. Numerical results validate the efficiency of the proposed approach.
Year
DOI
Venue
2014
10.1109/ICC.2014.6884005
ICC
Keywords
Field
DocType
transmission optimization,orthogonal frequency division multiple access,nonconvex optimization,cognitive radio,resource allocation,mimo cognitive femtocells,array signal processing,interference mitigation,frequency division multiple access,ofdma,concave programming,mimo communication,iterative algorithm,multiuser communication,femtocellular radio,iterative methods,multiuser network performance,two-layered beamforming,femtocells,optimization,interference,resource management
MIMO-OFDM,Radio resource management,Beamforming,Femtocell,Multi-user MIMO,Computer science,Orthogonal frequency-division multiple access,MIMO,Computer network,Resource allocation
Conference
ISSN
Citations 
PageRank 
1550-3607
0
0.34
References 
Authors
10
5
Name
Order
Citations
PageRank
Tianxiang Luan1322.40
Feifei Gao23093212.03
Zaichu Yang300.34
James C. F. Li416710.94
Ming Lei5325.64