Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5328
Title: Outage performance and location optimization for traffic-aware two-way Relaying with direct link
Authors: Chawla, Ronshee
Upadhyay, Prabhat Kumar
Keywords: Location;Network coding;Optimization;Signal processing;Traffic signals;Analog network coding (ANC);Asymmetric traffic;High signalto-noise ratios (SNR);Location optimization;Optimization problems;Overall outage probabilities;Traffic requirements;Two-way relay systems;Signal to noise ratio
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Yadav, S., Chawla, R., & Upadhyay, P. K. (2016). Outage performance and location optimization for traffic-aware two-way relaying with direct link. Paper presented at the 2016 International Conference on Signal Processing and Communications, SPCOM 2016, doi:10.1109/SPCOM.2016.7746611
Abstract: In this paper, we investigate the outage performance of a traffic-aware two-way relay system with active direct link by employing three-phase (3P) analog network coding (ANC) under Nakagami-m fading. We derive a tight expression for overall outage probability (OOP) that jointly takes into account the asymmetric traffic requirements at the two end users. We also derive an asymptotic outage behavior in the high signal-to-noise ratio (SNR) regime that characterizes the system diversity order. Further, we address an optimization problem for relay location to minimize OOP of the considered system. Our results demonstrate that optimal relay location has a critical impact on the OOP performance for given traffic requirements. Above all, depending upon the quality of direct link, we show that the traffic-aware 3P ANC can achieve better performance than its two-phase (2P) counterpart, even in the low SNR regime. © 2016 IEEE.
URI: https://doi.org/10.1109/SPCOM.2016.7746611
https://dspace.iiti.ac.in/handle/123456789/5328
ISBN: 9781509017461
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

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