Exact error-rate analysis of diversity 16-QAM with channel estimation error.

IEEE Transactions on Communications 01/2004; 52:1019-1029.
Source: DBLP
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    ABSTRACT: Adaptive modulation techniques are becoming very important for mobile communication systems due to dynamic characteristics of the medium. Diversity is another technique which further improves the performance of mobile communication system. In this paper the performance of adaptive M-QAM modulation technique has been evaluated in term of BER with diversity. A comparison of different values of the constellation size M has been done by simulation for variable number of paths variable number of paths, L = 1, 2, 3, 4, 5, 6. The performance is compared with the performance of GMSK, DQPSK, and MPSK modulation in the same diversity environment using MRC technique. A detailed performance comparison of modulation techniques shows that the diversity improves the performance of all modulation schemes, especially at lower values of diversity orders. The improvement in the performance is less at higher values of diversity orders. It is noticed that the improvement in BER performance is significant if the number of paths is less than 4, and there is no substantial improvement in BER performance if the number of paths is greater than 6, due to the increase of estimation errors.
    Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on; 03/2008
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    IJCNS. 01/2010; 3:945-953.
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    ABSTRACT: Traditionally, the performance of blind SIMO channel estimates has been characterized in a deterministic fashion, by identifying those channel realizations that are not blindly identifiable. In this paper, we focus instead on the performance of Zero-Forcing (ZF) Linear Equalizers (LEs) or Decision-Feedback Equalizers (DFEs) for fading channels when they are based on (semi-)blind channel estimates. Although it has been known that various (semi-)blind channel estimation techniques have a receiver counterpart that is matched in terms of symbol knowledge hypotheses, we show here that these (semi-)blind techniques and corresponding receivers also match in terms of diversity order: the channel becomes (semi-)blindly unidentifiable whenever its corresponding receiver structure goes in outage. In the case of mismatched receiver and (semi-blind) channel estimation technique, the lower diversity order dominates. Various cases of (semi-)blind channel estimation and corresponding receivers are considered in detail. To be complete however, the actual combination of receiver and (semi-)blind channel estimation lowers somewhat the diversity order w.r.t. the ideal picture.
    Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on; 04/2010


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