Performance of Low‐Complexity Channel Coding and Diversity for Spread Spectrum in Indoor, Wireless Communication

M. Kavehrad, P. J. McLane

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    129 Scopus citations


    The application of selection diversity in conjunction with simple channel coding is considered for a multiuser, slowly fading, Spread‐Spectrum Multiple Access (SSMA), digital radio system. For the most part, the index of performance for our study is the average bit error probability; we also give some consideration to multipath outage as a performance measure. All subscribers are assumed to communicate to a central station; that is, a star network architecture is assumed. Average power control is also assumed. The average mentioned in this context includes averaging over the channel fading statistics. The modulation is direct‐sequence, spread‐spectrum, binary phase‐shift keying. We assume perfect timing and carrier recovery in our coherent receiver, and a slowly varying, Rayleigh fading, discrete multipath model is used. Previous analyses have found that SSMA can tolerate few simultaneous users for fading radio channels. We find that the combination of spread‐spectrum modulation with low‐complexity diversity and/or channel coding can restore fading‐channel user levels to an acceptable figure. In addition, selection diversity plus channel coding is more effective than either method by itself. Finally, it turns out that SSMA is less sensitive to a change in the value of delay spread of a fading channel than, say, time‐division multiple access. The method of moments is used to accurately assess the system error probability. Using this technique, we also assess the accuracy of assuming that the multiuser interference has a Gaussian distribution, which allows it to be analyzed by a simple method. Using this assumption, we compare selection diversity plus channel coding with the maximal‐ratio‐combining technique for diversity reception. Except for a high order of diversity, the former is more efficient and is always less complex than the latter.

    Original languageEnglish (US)
    Pages (from-to)1927-1965
    Number of pages39
    JournalAT&T Technical Journal
    Issue number8
    StatePublished - Oct 1985

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering


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