Open Access Research

Performance of MUTP-aided MIMO systems over correlated frequency-selective wireless communication channels: a multi-cell perspective

Prabagarane Nagaradjane1*, Sabarish Karthik Vivek Sarathy2, Prasaanth Muralidharan4 and Yuvika Ashwina Rajan3

Author Affiliations

1 Department of ECE, SSN Institutions, Chennai, India

2 Department of ECE, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA

3 Department of ECE, Georgia Institute of Technology, Atlanta, GA, USA

4 QUALCOMM Inc. San Diego CA, USA

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EURASIP Journal on Wireless Communications and Networking 2012, 2012:194  doi:10.1186/1687-1499-2012-194

Published: 11 June 2012

Abstract

In this article, we investigate the performance of multiuser transmitter preprocessing (MUTP)-aided multiple-input multiple-output (MIMO) systems in a multi-cell multiuser setting where co-channel interference (CCI) is the major channel impairment, for both uplink (UL) and downlink (DL) transmissions. CCI can considerably reduce data rates resulting in outages in cellular systems, particularly at the cell edges in DL transmission. The MUTP considered in this article is based on singular value decomposition (SVD), which exploits the channel state information (CSI) of all the users at the base stations (BSs) with the aid of BS cooperation, and only the individual users' CSI at the mobile stations (MSs) for both UL and DL transmissions. In particular, in this article, we study the effects of three types of delay spread distributions coupled with different interferer configurations over correlated and uncorrelated frequency-selective channels. Our simulation study shows that SVD-aided MUTP perfectly eliminates CCI with lesser detection complexity under perfect CSI. Also, we provide performance comparisons of SVD-aided MUTP with various precoding techniques widely addressed in literature, and the results show that it provides better achievable symbol error rate (SER) by mitigating multi-stream interference (MSI) and CCI. Further, simulation results demonstrate that compared to equal CCI, the presence of a dominant interferer can lead to more degradation in the system performance in terms of achievable SER while, further degradation results when noise is dominant. Furthermore, this study confirms that imperfect CSI as well as imperfect power control can lead to degradation in the system performance.

Keywords:
multiple-input multiple-output (MIMO); preprocessing; post-processing; multiuser transmitter preprocessing (MUTP); singular value decomposition (SVD); co-channel interference (CCI); multiuser interference (MUI); multi-stream interference (MSI)