DocumentCode :
1672501
Title :
Interference alignment using reweighted nuclear norm minimization
Author :
Sridharan, Gokul ; Wei Yu
Author_Institution :
Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear :
2013
Firstpage :
4369
Lastpage :
4373
Abstract :
This paper proposes an algorithm to compute the transmit beamformers for linear interference alignment for the MIMO interference channel and the MIMO interfering multiple-access/broadcast channel without symbol extensions. We first formulate the interference alignment problem as a rank minimization problem with linear constraints, then approximate the matrix rank by the nuclear norm. We further propose the use of an iterative reweighted nuclear norm approach and show that adaptive reweighting can significantly improve the algorithm´s ability to find aligned beamformers. Simulation results show that the proposed algorithm is able to provide more interference-free dimensions and also converges faster than a previously proposed rank-constrained rank-minimization approach for interference alignment.
Keywords :
MIMO communication; array signal processing; broadcast channels; interference (signal); iterative methods; minimisation; MIMO interfering broadcast channel; MIMO interfering multiple-access channel; adaptive reweighting; beamformers; constraints; interference alignment problem; interference-free dimensions; iterative reweighted nuclear norm approach; linear constraints; linear interference alignment; matrix rank; rank minimization problem; rank-constrained rank-minimization approach; reweighted nuclear norm minimization; Approximation methods; Interference channels; MIMO; Minimization; Receivers; Vectors; Interference alignment; interference mitigation; nuclear norm minimization; rank minimization; reweighting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638485
Filename :
6638485
Link To Document :
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