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Maximum Likelihood Decoder for Index Coded PSK Modulation for Priority Ordered Receivers

Sudhakaran, Divya U and Rajan, B Sundar (2017) Maximum Likelihood Decoder for Index Coded PSK Modulation for Priority Ordered Receivers. In: 86th IEEE Vehicular Technology Conference (VTC-Fall), SEP 24-27, 2017, Toronto, CANADA.

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Official URL: http://dx.doi.org/ 10.1109/VTCFall.2017.8287959

Abstract

Index coded PSK modulation over an AWGN broadcast channel, for a given index coding problem (ICP) is studied. For a chosen index code and an arbitrary mapping (of broadcast vectors to PSK signal points), a decision rule for the maximum likelihood (ML) decoder is derived. The message error performance of a receiver at high SNR is characterized by a parameter called PSK-index coding gain (PSK-ICG). The PSK-ICG of a receiver is determined by a metric called minimum interset distance. For a given ICP with an order of priority among the receivers, and a chosen 2(N)-PSK constellation an algorithm to find (index code, mapping) pairs, each of which gives the best performance in terms of PSK-ICG of the receivers, is proposed. No other pair of index code (of length N with 2(N) broadcast vectors) and mapping can give a better PSK-ICG for the highest priority receiver. Also, given that the highest priority receiver achieves its best performance, the next highest priority receiver achieves its maximum gain possible and so on in the specified order of priority.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belong to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 07 May 2018 19:00
Last Modified: 07 May 2018 19:00
URI: http://eprints.iisc.ac.in/id/eprint/59799

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