Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5374
Title: Outage performance of zero-forcing based MIMO two-way relaying with channel estimation error
Authors: Upadhyay, Prabhat Kumar
Keywords: Antennas;Channel state information;Errors;MIMO systems;Network coding;Rayleigh fading;Signal to noise ratio;Analog network coding (ANC);Antenna configurations;Channel estimation error (CEE);Channel estimation errors;Imperfect channel state information;Self-interferences;System outage probability;Two-way relay systems;Channel estimation
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Gurjar, D. S., & Upadhyay, P. K. (2015). Outage performance of zero-forcing based MIMO two-way relaying with channel estimation error. Paper presented at the 2015 21st National Conference on Communications, NCC 2015, doi:10.1109/NCC.2015.7084830
Abstract: In this paper, we investigate the effect of imperfect channel state information (CSI) on the performance of a multiple-input multiple-output (MIMO) two-way relay system that employs transmit/receive zero-forcing (ZF) at the sources and analog network coding (ANC) at the relay. In fact, for the transmit/receive ZF, the source nodes require estimation of the CSI that may not be perfect in practice, and hence the channel estimation error (CEE) does exist in the system. By taking this CEE into account, we deduce that the post-processing end-to-end signal-to-noise ratios (SNRs) at the two sources are reduced by an additional noise pertaining to the CEE and the residual self-interference. Based on these SNRs, we analyze the overall system outage probability and the asymptotic outage behavior under a Rayleigh fading scenario. We demonstrate that the CEE has a severe impact on the overall outage performance and it may reduce the system diversity order to zero. Numerical and simulation investigations are conducted with various values of estimation errors and antenna configurations to support the theoretical analysis. © 2015 IEEE.
URI: https://doi.org/10.1109/NCC.2015.7084830
https://dspace.iiti.ac.in/handle/123456789/5374
ISBN: 9781479966196
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: