Linear transceiver design for nonorthogonal amplify-and-forward protocol using a bit error rate criterion

Qasim Zeeshan Ahmed, Kihong Park, Mohamed-Slim Alouini, Sonia Aïssa

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

The ever growing demand of higher data rates can now be addressed by exploiting cooperative diversity. This form of diversity has become a fundamental technique for achieving spatial diversity by exploiting the presence of idle users in the network. This has led to new challenges in terms of designing new protocols and detectors for cooperative communications. Among various amplify-and-forward (AF) protocols, the half duplex non-orthogonal amplify-and-forward (NAF) protocol is superior to other AF schemes in terms of error performance and capacity. However, this superiority is achieved at the cost of higher receiver complexity. Furthermore, in order to exploit the full diversity of the system an optimal precoder is required. In this paper, an optimal joint linear transceiver is proposed for the NAF protocol. This transceiver operates on the principles of minimum bit error rate (BER), and is referred as joint bit error rate (JBER) detector. The BER performance of JBER detector is superior to all the proposed linear detectors such as channel inversion, the maximal ratio combining, the biased maximum likelihood detectors, and the minimum mean square error. The proposed transceiver also outperforms previous precoders designed for the NAF protocol. © 2002-2012 IEEE.
Original languageEnglish (US)
Pages (from-to)1844-1853
Number of pages10
JournalIEEE Transactions on Wireless Communications
Volume13
Issue number4
DOIs
StatePublished - Apr 2014

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by a grant from the King Abdulaziz City of Science and Technology (KACST), SABIC post-doctoral fellowship, and an NPRP project from Qatar National Research Fund (QNRF) (A member of Qatar Foundation).

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering

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