Publication Type:

Journal Article

Source:

Wireless Personal Communications, Kluwer Academic Publishers, Volume 83, Number 4, p.2883-2897 (2015)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84937458474&partnerID=40&md5=94dfbe336fd165649624fff0363dcb08

Keywords:

Average running time, Channel conditions, Large-MIMO, MIMO systems, Performance study, Rank deficiency, Semidefinite relaxation, Signal to noise ratio, Spatial correlations, Spatial multiplexing

Abstract:

Large MIMO detection has gained significant attention in the recent past with computational complexity as the research focus. However, they assume the channel to be i.i.d and uncorrelated, which is not a valid assumption in practice due to the fixed physical space constraints in large MIMO. Nevertheless, there is a little work carried out in these lines. In this paper, we consider the problem of detection in large spatial multiplexing MIMO systems and we investigate the semidefinite relaxation (SDR) approach to solve this problem. We investigate the applicability of SDR approach in large MIMO setting and study its performance in spatially correlated and rank deficient channel conditions. Through the simulation results, we demonstrate the superior performance of semidefinite relaxation detector over other existing methods in uncorrelated and correlated large MIMO systems especially in low SNR regime. The performance of SDR detector is noteworthy with large number of antennas despite the system being rank deficient and the average running time also scales up well for large systems. © 2015, Springer Science+Business Media New York.

Cite this Research Publication

R. Ramanathan and Jayakumar, M., “A Performance Study of Semidefinite Relaxation Detector in Spatially Correlated and Rank Deficient Large MIMO Systems”, Wireless Personal Communications, vol. 83, pp. 2883-2897, 2015.