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Joint Preprocesser-Based Detector for Cooperative Networks with Limited Hardware Processing Capability

Abuzaid, Abdulrahman, Ahmed, Qasim Zeeshan, Alouini, Mohamed-Slim (2015) Joint Preprocesser-Based Detector for Cooperative Networks with Limited Hardware Processing Capability. IEEE Signal Processing Letters, 22 (2). pp. 216-219. ISSN 1070-9908. (doi:10.1109/LSP.2014.2349273) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:51259)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://doi.org/10.1109/LSP.2014.2349273

Abstract

In this letter, a joint detector for cooperative communication networks is proposed when the destination has limited hardware processing capability. The transmitter sends its symbols with the help of L relays. As the destination has limited hardware, only U out of L signals are processed and the energy of the remaining relays is lost. To solve this problem, a joint preprocessing based detector is proposed. This joint preprocessor based detector operate on the principles of minimizing the symbol error rate (SER). For a realistic assessment, pilot symbol aided channel estimation is incorporated for this proposed detector. From our simulations, it can be observed that our proposed detector achieves the same SER performance as that of the maximum likelihood (ML) detector with all participating relays. Additionally, our detector outperforms selection combining (SC), channel shortening (CS) scheme and reduced-rank techniques when using the same U. Our proposed scheme has low computational complexity.

Item Type: Article
DOI/Identification number: 10.1109/LSP.2014.2349273
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 29 Oct 2015 09:49 UTC
Last Modified: 17 Aug 2022 10:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/51259 (The current URI for this page, for reference purposes)

University of Kent Author Information

Ahmed, Qasim Zeeshan.

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