Enhancing spectral efficiency in cooperative cognitive two-way amplify-And-forward relaying networks

Ahmed H.Abd El-Malek, Anas M. Salhab, Salam A. Zummo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, a new cooperative cognitive two-way amplify-And-forward (AF) relaying scheme is proposed. In this model, a primary user (PU) network consisting of two PU sources communicate with each other via a single AF relay. In addition, a secondary user (SU) source transmits its data to a SU destination via the same PU relay node via decode-And-forward protocol. In order to mitigate SU interference caused to the PU network, the PU network considers the SU network pairs (i.e., source and destination) as two additional relay nodes helping the original PU relay node in improving the PU network performance. As a reward for its cooperation, the PU network allows the SU network to communicate simultaneously via the PU relay node using the decode-And-forward (DF) protocol. Two power allocation optimization problems are formulated; the first problem minimizes the weighted sum of the average symbol error probability (SEP) of both PU and SU systems, whereas the second problem maximizes the total achievable sum rate of the PU and SU networks. Results show that the error performance of the proposed model outperforms the conventional two-way relaying networks with amplify-And-forward protocol. Moreover, the total achievable sum rate of the proposed model is higher than the total achievable rate of the conventional ones.

Original languageEnglish
Title of host publication2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398145
DOIs
StatePublished - 2016

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus subject areas

  • General Engineering

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