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