Muralidharan, Vijayvaradharaj T and Rajan, Sundar B (2013) Performance analysis of adaptive physical layer network coding for wireless two-way relaying. In: IEEE Transactions on Wireless Communications, 12 (3). pp. 1328-1339.
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Abstract
The performance analysis of adaptive physical layer network-coded two-way relaying scenario is presented which employs two phases: Multiple access (MA) phase and Broadcast (BC) phase. The deep channel fade conditions which occur at the relay referred as the singular fade states fall in the following two classes: (i) removable and (ii) non-removable singular fade states. With every singular fade state, we associate an error probability that the relay transmits a wrong network-coded symbol during the BC phase. It is shown that adaptive network coding provides a coding gain over fixed network coding, by making the error probabilities associated with the removable singular fade states contributing to the average Symbol Error Rate (SER) fall as SNR-2 instead of SNR-1. A high SNR upper-bound on the average end-to-end SER for the adaptive network coding scheme is derived, for a Rician fading scenario, which is found to be tight through simulations. Specifically, it is shown that for the adaptive network coding scheme, the probability that the relay node transmits a wrong network-coded symbol is upper-bounded by twice the average SER of a point-to-point fading channel, at high SNR. Also, it is shown that in a Rician fading scenario, it suffices to remove the effect of only those singular fade states which contribute dominantly to the average SER.
Item Type: | Journal Article |
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Publication: | IEEE Transactions on Wireless Communications |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Additional Information: | Copyright of this article belongs to IEEE-Inst Electrical Electronics Engineers Inc. |
Keywords: | Denoise-and-Forward; Physical Layer Network Coding; Wireless Two-Way Relaying |
Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
Date Deposited: | 29 May 2013 10:25 |
Last Modified: | 29 May 2013 10:25 |
URI: | http://eprints.iisc.ac.in/id/eprint/46609 |
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