DocumentCode :
1915064
Title :
Mixed norm minimization for MIMO cellular interference channel
Author :
Huiqin Du ; Ratnarajah, Tharm ; Sellathurai, Mathini ; Chambers, Jonathon
Author_Institution :
Coll. of Inf. Sci. & Technol., Jinan Univ., Guangzhou, China
fYear :
2015
fDate :
June 28 2015-July 1 2015
Firstpage :
635
Lastpage :
639
Abstract :
This paper considers a multiple-input multiple-output (MIMO) cellular interference channel. In order to exploit the maximum degrees of freedom, the rank constrained rank minimization (RCRM) framework is adopted to formulate the interference alignment for the MIMO cellular network. Considering the practical signal-to-noise ratio (SNR) is limited, we propose a joint Frobenius norm and nuclear norm algorithm, which not only maximizes the achievable degrees of freedom but also minimizes the power of the interference matrices. Optimum solutions are iteratively achieved with guaranteed convergence. Simulation results are presented to validate the effectiveness of the proposed algorithm.
Keywords :
MIMO communication; cellular radio; interference (signal); MIMO cellular interference channel; interference alignment; interference matrices; joint Frobenius norm; mixed norm minimization; nuclear norm algorithm; rank constrained rank minimization framework; Conferences; Interference channels; MIMO; Minimization; Signal processing algorithms; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
Type :
conf
DOI :
10.1109/SPAWC.2015.7227115
Filename :
7227115
Link To Document :
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