Algorithm for improving the computing power of next generation wireless receivers

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Next generation wireless receivers demand low computational complexity algorithms with high computing power in order to perform fast signal detections and error estimations. Several signal detection and estimation algorithms have been proposed for next generation wireless receivers which are primarily designed to provide reasonable performance in terms of signal to noise ratio (SNR) and bit error rate (BER). However, none of them have been chosen for direct implementation as they offer high computational complexity with relatively lower computing power. This paper presents a low-complexity power-efficient algorithm that improves the computing power and provides relatively faster signal detection for next generation wireless multiuser receivers. Measurement results of the proposed algorithm are provided and the overall system performance is indicated by BER and the computational complexity. Finally, in order to verify the low-complexity of the proposed algorithm we also present a formal mathematical proof.

Original languageEnglish (US)
Pages (from-to)310-319
Number of pages10
JournalJournal of Computing Science and Engineering
Volume6
Issue number4
DOIs
StatePublished - Jan 1 2012

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Signal detection
Computational complexity
Bit error rate
Error analysis
Signal to noise ratio

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications

Cite this

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abstract = "Next generation wireless receivers demand low computational complexity algorithms with high computing power in order to perform fast signal detections and error estimations. Several signal detection and estimation algorithms have been proposed for next generation wireless receivers which are primarily designed to provide reasonable performance in terms of signal to noise ratio (SNR) and bit error rate (BER). However, none of them have been chosen for direct implementation as they offer high computational complexity with relatively lower computing power. This paper presents a low-complexity power-efficient algorithm that improves the computing power and provides relatively faster signal detection for next generation wireless multiuser receivers. Measurement results of the proposed algorithm are provided and the overall system performance is indicated by BER and the computational complexity. Finally, in order to verify the low-complexity of the proposed algorithm we also present a formal mathematical proof.",
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Algorithm for improving the computing power of next generation wireless receivers. / Rizvi, Syed S.

In: Journal of Computing Science and Engineering, Vol. 6, No. 4, 01.01.2012, p. 310-319.

Research output: Contribution to journalArticle

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