Proceedings. IEEE SoutheastCon, 2005.
DOI: 10.1109/secon.2005.1423257
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Average Error Rate of Linear Diversity Reception Schemes Over Generalized Gamma Fading Channels

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Cited by 14 publications
(10 citation statements)
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“…However, the author points out that such representation presents certain computational challenges. In [6], Piboongungon et al investigated the average symbol error rate (SER) performance of both maximum ratio combining (MRC) and equal gain combining (EGC) receivers over GG fading channels. The authors used the moment generation function (MGF)-based approach [1] in the case of MRC receivers and the characteristic function (CHF)-based approach [7] for the EGC receivers.…”
Section: Introductionmentioning
confidence: 99%
“…However, the author points out that such representation presents certain computational challenges. In [6], Piboongungon et al investigated the average symbol error rate (SER) performance of both maximum ratio combining (MRC) and equal gain combining (EGC) receivers over GG fading channels. The authors used the moment generation function (MGF)-based approach [1] in the case of MRC receivers and the characteristic function (CHF)-based approach [7] for the EGC receivers.…”
Section: Introductionmentioning
confidence: 99%
“…Most of the other attempts fail to provide a closed-form expression for this cumbersome problem and only propose to tackle it by deriving approximate solutions that usually involve a truncation error. In [4], Piboongungon et al investigated the average symbol error rate (SER) performance of both maximum ratio combining (MRC) and equal gain combining (EGC) receivers over GG fading channels. The authors used the moment generation function (MGF)-based approach [3] in the case of MRC receivers and the characteristic function (CHF)-based approach [5] for the EGC receivers.…”
Section: Introductionmentioning
confidence: 99%
“…Previous papers concerning EGC diversity [2][3][4][5] (and references therein) assumed the received signal phase estimation to be perfect. Only three papers, [6][7][8], considered the influence of imperfect estimation of the received signal phase on the system performance.…”
Section: Introductionmentioning
confidence: 99%
“…Notice that the Nakagami-m, exponential, Weibull, one-sided Gaussian and Rayleigh distribution that are used for modeling multipath fading channels, as well as Gamma and Lognormal (as a limiting case) distributions that are used for modeling shadow fading are special instances of the generalized α − μ distribution [9,10]. Despite the fact that the α − μ distribution includes several widely used fading distributions as special cases, only two papers [4,5] considered the performance of EGC receiver in α − μ fading channel, and analysis in both papers was done under assumption of perfect cophasing. Unlike previously mentioned papers [2][3][4][5][6][7][8], where the uncoded signal detection was observed, in this paper we determine the average BER for both uncoded and low-density parity-check (LDPC)-coded BPSK and QPSK signals.…”
Section: Introductionmentioning
confidence: 99%