Title :
A convergent version of Max SINR for the MIMO interference channel
Author :
Wilson, Craig ; Veeravalli, Venugopal V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois, Urbana, IL, USA
fDate :
July 31 2011-Aug. 5 2011
Abstract :
We consider the problem of designing signals to transmit over the MIMO interference channel by extending the Max SINR algorithm. The Max SINR algorithm starts with arbitrary beamformers and then designs optimal receivers to maximize the SINR at each receiver. The Max SINR algorithm then alternates the direction of communication and repeats this process. This algorithm is known to perform well but there is no proof that it converges. We propose a modification to Max SINR using a power control step to make a metric similar to the sum rate converge. If we also use successive interference cancellation(SIC), then our metric is exactly the sum rate. We show via simulations that performance of the modified Max SINR algorithm, unlike the other convergent alternatives, is nearly identical to that of the original Max SINR algorithm.
Keywords :
MIMO communication; array signal processing; convergence; interference (signal); interference suppression; radio receivers; wireless channels; MIMO interference channel; SIC; arbitrary beamformers; convergent alternatives; convergent version; designing signals; max SINR algorithm; optimal receivers; power control step; successive interference cancellation; sum rate converge; Algorithm design and analysis; Interference; MIMO; Power control; Receivers; Signal to noise ratio; Silicon carbide; interference channels; iterative algorithms; throughput; wireless networks;
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2011.6033952