TY - GEN
T1 - Interference alignment via Feasible Point Pursuit
AU - Konar, Aritra
AU - Sun, Ruoyu
AU - Sidiropoulos, Nicholas D.
AU - Luo, Zhi Quan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/27
Y1 - 2015/8/27
N2 - Designing iterative algorithms for interference alignment (IA) is very useful for both practical and theoretical purposes. However, the existing works on iterative IA algorithms have not reported significant gains in terms of the DoF (Degrees of Freedom) over simple orthogonalization schemes. In this paper, we aim to design an iterative IA algorithm that can achieve high DoF. We recast the problem of designing linear transceivers for interference alignment as a non-convex quadratic feasibility problem, and apply an extension of the recently proposed Feasible Point Pursuit Successive Convex Approximation (FPP-SCA) algorithm [8] to solve it. Simulations suggest that the proposed algorithm can attain DoF very close to the known theoretical upper bound in certain cases, significantly outperforming existing approaches.
AB - Designing iterative algorithms for interference alignment (IA) is very useful for both practical and theoretical purposes. However, the existing works on iterative IA algorithms have not reported significant gains in terms of the DoF (Degrees of Freedom) over simple orthogonalization schemes. In this paper, we aim to design an iterative IA algorithm that can achieve high DoF. We recast the problem of designing linear transceivers for interference alignment as a non-convex quadratic feasibility problem, and apply an extension of the recently proposed Feasible Point Pursuit Successive Convex Approximation (FPP-SCA) algorithm [8] to solve it. Simulations suggest that the proposed algorithm can attain DoF very close to the known theoretical upper bound in certain cases, significantly outperforming existing approaches.
KW - Algorithm design and analysis
KW - Approximation algorithms
KW - Approximation methods
KW - Integrated circuits
KW - Interference
KW - MIMO
KW - Signal processing algorithms
UR - http://www.scopus.com/inward/record.url?scp=84953393012&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84953393012&partnerID=8YFLogxK
U2 - 10.1109/SPAWC.2015.7227116
DO - 10.1109/SPAWC.2015.7227116
M3 - Conference contribution
AN - SCOPUS:84953393012
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 640
EP - 644
BT - SPAWC 2015 - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015
Y2 - 28 June 2015 through 1 July 2015
ER -