Mobile Multimedia Communications. 6th International ICST Conference, MOBIMEDIA 2010, Lisbon, Portugal, September 6-8, 2010. Revised Selected Papers

Research Article

A Dynamic-Blind Estimation of the -MRC Combiner’s Weight for a Decode-and-Forward Based Receiver

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  • @INPROCEEDINGS{10.1007/978-3-642-35155-6_22,
        author={Said El-Khamy and Noha El-Ganainy},
        title={A Dynamic-Blind Estimation of the -MRC Combiner’s Weight for a Decode-and-Forward Based Receiver},
        proceedings={Mobile Multimedia Communications. 6th International ICST Conference, MOBIMEDIA 2010, Lisbon, Portugal, September 6-8, 2010. Revised Selected Papers},
        proceedings_a={MOBIMEDIA},
        year={2012},
        month={12},
        keywords={Blind combiner Dynamic-Blind estimation Decode-and-Forward algorithm 
                    -MRC},
        doi={10.1007/978-3-642-35155-6_22}
    }
    
  • Said El-Khamy
    Noha El-Ganainy
    Year: 2012
    A Dynamic-Blind Estimation of the -MRC Combiner’s Weight for a Decode-and-Forward Based Receiver
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-642-35155-6_22
Said El-Khamy1,*, Noha El-Ganainy2,*
  • 1: Alexandria University
  • 2: Alexandria Institute of Technology
*Contact email: elkhamy@ieee.org, noha_elganainy@yahoo.co.uk

Abstract

This paper develops a new dynamic-blind estimation of the combiner’s weight suggested for decode-and-forward cooperative based receivers and provides an empirical form for it. The estimation is performed by applying a monotonically decreasing formula on the incoming bit stream. The performance evaluation is investigated using the analytical probability of error (P) closed-form of the decode-and-forward cooperative transmissions. An adjacency is illustrated between the performances using the values of obtained by the proposed estimation against the use of optimum values of found by iterative search. A practical implementation of the decode-and-forward cooperative algorithm is also considered and the performance analysis is studied for different channel assignments. It is demonstrated that the proposed dynamic-blind estimation of provides in an overall performance on the verge of that of using optimum values of the combiner’s weight .