An exact expression of error rate is developed for maximal ratio combining (MRC) in an independent but not necessarily identically distributed frequency selective Nakagami fading channel taking into account inter-symbol, co-channel and adjacent channel interferences (ISI, CCI and ACI respectively). The characteristic function (CF) method is adopted. While accurate analysis of MRC performance cannot be seen in frequency selective channel taking ISI (and CCI) into account, such analysis for ACI has not been addressed yet. The general analysis presented in this paper solves a problem of past and present interest, which has so far been studied either approximately or in simulations. The exact method presented also lets us obtain an approximate error rate expression based on Gaussian approximation (GA) of the interferences. It is shown, especially while the channel is lightly faded, has fewer multipath components and a decaying delay profile, the GA may be substantially inaccurate at high signal-to-noise ratio. However, the exact results also reveal an important finding that there is a range of parameters where the simpler GA is reasonably accurate and hence, we don't have to go for more involved exact expression.
Mohammad Azizur RAHMAN
Chin-Sean SUM
Ryuhei FUNADA
Shigenobu SASAKI
Tuncer BAYKAS
Junyi WANG
Hiroshi HARADA
Shuzo KATO
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Mohammad Azizur RAHMAN, Chin-Sean SUM, Ryuhei FUNADA, Shigenobu SASAKI, Tuncer BAYKAS, Junyi WANG, Hiroshi HARADA, Shuzo KATO, "Error Probability of MRC in Frequency Selective Nakagami Fading in the Presence of CCI and ACI" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 11, pp. 2679-2687, November 2009, doi: 10.1587/transfun.E92.A.2679.
Abstract: An exact expression of error rate is developed for maximal ratio combining (MRC) in an independent but not necessarily identically distributed frequency selective Nakagami fading channel taking into account inter-symbol, co-channel and adjacent channel interferences (ISI, CCI and ACI respectively). The characteristic function (CF) method is adopted. While accurate analysis of MRC performance cannot be seen in frequency selective channel taking ISI (and CCI) into account, such analysis for ACI has not been addressed yet. The general analysis presented in this paper solves a problem of past and present interest, which has so far been studied either approximately or in simulations. The exact method presented also lets us obtain an approximate error rate expression based on Gaussian approximation (GA) of the interferences. It is shown, especially while the channel is lightly faded, has fewer multipath components and a decaying delay profile, the GA may be substantially inaccurate at high signal-to-noise ratio. However, the exact results also reveal an important finding that there is a range of parameters where the simpler GA is reasonably accurate and hence, we don't have to go for more involved exact expression.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.2679/_p
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@ARTICLE{e92-a_11_2679,
author={Mohammad Azizur RAHMAN, Chin-Sean SUM, Ryuhei FUNADA, Shigenobu SASAKI, Tuncer BAYKAS, Junyi WANG, Hiroshi HARADA, Shuzo KATO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Error Probability of MRC in Frequency Selective Nakagami Fading in the Presence of CCI and ACI},
year={2009},
volume={E92-A},
number={11},
pages={2679-2687},
abstract={An exact expression of error rate is developed for maximal ratio combining (MRC) in an independent but not necessarily identically distributed frequency selective Nakagami fading channel taking into account inter-symbol, co-channel and adjacent channel interferences (ISI, CCI and ACI respectively). The characteristic function (CF) method is adopted. While accurate analysis of MRC performance cannot be seen in frequency selective channel taking ISI (and CCI) into account, such analysis for ACI has not been addressed yet. The general analysis presented in this paper solves a problem of past and present interest, which has so far been studied either approximately or in simulations. The exact method presented also lets us obtain an approximate error rate expression based on Gaussian approximation (GA) of the interferences. It is shown, especially while the channel is lightly faded, has fewer multipath components and a decaying delay profile, the GA may be substantially inaccurate at high signal-to-noise ratio. However, the exact results also reveal an important finding that there is a range of parameters where the simpler GA is reasonably accurate and hence, we don't have to go for more involved exact expression.},
keywords={},
doi={10.1587/transfun.E92.A.2679},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - Error Probability of MRC in Frequency Selective Nakagami Fading in the Presence of CCI and ACI
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2679
EP - 2687
AU - Mohammad Azizur RAHMAN
AU - Chin-Sean SUM
AU - Ryuhei FUNADA
AU - Shigenobu SASAKI
AU - Tuncer BAYKAS
AU - Junyi WANG
AU - Hiroshi HARADA
AU - Shuzo KATO
PY - 2009
DO - 10.1587/transfun.E92.A.2679
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2009
AB - An exact expression of error rate is developed for maximal ratio combining (MRC) in an independent but not necessarily identically distributed frequency selective Nakagami fading channel taking into account inter-symbol, co-channel and adjacent channel interferences (ISI, CCI and ACI respectively). The characteristic function (CF) method is adopted. While accurate analysis of MRC performance cannot be seen in frequency selective channel taking ISI (and CCI) into account, such analysis for ACI has not been addressed yet. The general analysis presented in this paper solves a problem of past and present interest, which has so far been studied either approximately or in simulations. The exact method presented also lets us obtain an approximate error rate expression based on Gaussian approximation (GA) of the interferences. It is shown, especially while the channel is lightly faded, has fewer multipath components and a decaying delay profile, the GA may be substantially inaccurate at high signal-to-noise ratio. However, the exact results also reveal an important finding that there is a range of parameters where the simpler GA is reasonably accurate and hence, we don't have to go for more involved exact expression.
ER -