NDLI: Symbol-error rate optimized complex field network coding for wireless communications

Content Provider	Springer Nature Link
Author	Eritmen, Kayhan Keskiz, Mehmet
Copyright Year	2015
Abstract	In this paper, the complex field network coding (CFNC) over multi-user relay channel with non-orthogonal communications is studied. In order to improve the performance of CFNC coded relay channel, we propose to optimize the CFNC according to the symbol-error rate (SER) characteristics of the network. To achieve such an optimization, we first derive a bound for the SER of the coded relay channel, which uses maximum-likelihood detection both at the relay and destination node. Then, CFNC optimization is formulated as a convex program, which aims to minimize the SER-bound while considering the constraint on total transmit power and the network geometry. We next derive Karush–Kuhn–Tucker (KKT) conditions of optimal CFNC parameters. Due to the existence of nonlinearity in the simplified KKT conditions, a closed form solution for the optimal parameters is not possible. To overcome this difficulty, we also propose an approximate solution for the optimal CFNC, which utilizes an information theoretical result. After the SER-optimized CFNC parameters are determined, we investigate the average bit error rate (BER) of the network for various parameters. The performed numerical experiments reveal that SER-optimized CFNC could provide a BER improvement up-to 29 % over the conventional CFNC for a two-user relay channel.
Starting Page	2467
Ending Page	2481
Page Count	15
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	21
Issue Number	8
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2015-03-08
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Relay channel Network coding Complex field network coding Optimized network coding Communications Engineering, Networks Computer Communication Networks Electrical Engineering IT in Business
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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