Comparison of diversity combining techniques for Rayleigh-fading channels

Eng, Tan Chong; Kong, Ning; Milstein, L.B.

doi:10.1109/26.536918

Cited by 397 publications

(169 citation statements)

References 13 publications

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“…In [7], the bit error rate performance of H-S/MRC with and out of branches was analyzed, and it was pointed out that "the expressions become extremely unwieldy" for . The average SNR of H-S/MRC was derived in [8].…”

Section: Introductionmentioning

confidence: 99%

Virtual branch analysis of symbol error probability for hybrid selection/maximal-ratio combining in Rayleigh fading

Win

Winters

2001

IEEE Trans. Commun.

250

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Abstract-In this paper, we derive analytical expressions for the symbol error probability (SEP) for a hybrid selection/maximalratio combining (H-S/MRC) diversity system in multipath-fading wireless environments. With H-S/MRC, out of diversity branches are selected and combined using maximal-ratio combining (MRC). We consider coherent detection of -ary phase-shift keying (MPSK) and quadrature amplitude modulation (MQAM) using H-S/MRC for the case of independent Rayleigh fading with equal signal-to-noise ratio averaged over the fading. The proposed problem is made analytically tractable by transforming the ordered physical diversity branches, which are correlated, into independent and identically distributed (i.i.d.) "virtual branches," which results in a simple derivation of the SEP for arbitrary and . We further obtain a canonical structure for the SEP of H-S/MRC as a weighted sum of the elementary SEP's, which are the SEP's using MRC with i.i.d. diversity branches in Rayleigh fading, or equivalently the SEP's of the nondiversity (single-branch) system in Nakagami fading, whose closed-form expressions are well-known. We present numerical examples illustrating that H-S/MRC, even with , can achieve performance close to that of -branch MRC.Index Terms-Diversity combining, error probability, fading channel, maximal ratio combining, selection diversity, virtual branch technique.

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Section: Introductionmentioning

confidence: 99%

Virtual branch analysis of symbol error probability for hybrid selection/maximal-ratio combining in Rayleigh fading

Win

Winters

2001

IEEE Trans. Commun.

250

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“…Hybrid diversity reception where, first a group of signals is selected out of the total available, which are then maximal-ratio combined has been discussed in [6]. Similar approaches have been then explored in several other papers [7][8].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Selecting Maximal Ratio Combining Hybrid Diversity System over Ricean Fading Channels

Spalević¹,

Stefanović²,

Panic³

et al. 2014

Automatika

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In this paper an approach to the performance analysis of hybrid MRCS (Selection Maximal Ratio Combining) diversity system operating over Ricean fading channels is presented. Hybrid MRCS combining method has a simple implementation, where maximal-ratio combined signals are chosen on a selection combining basis. Closed form expressions are provided for standard first and second order statistical measures for the signal at the output of the combiner, i.e. PDF (probability density function), CDF (cumulative distribution function), LCR (level crossing rate). Capitalizing on them standard performance measures like ABEP (Average Bit Error Probability) over some modulation techniques and AFD (Average Fade Duration) are efficiently evaluated and discussed in the function of various system parameters.

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“…Noting that the average number of SNR comparisons for i/j-GSC, denoted by C GSC(i,j) , can be obtained as 3 With traditional sorting approach, we need k − 1 comparisons to find the kth largest/smallest one after the previous k − 1 largest/smallest ones have been found. We follow this traditional approach in order to perform an accurate complexity comparison while noting that with quick sorting algorithm for n paths, we just need O(log(n)) complexity.…”

Section: B Average Number Of Snr Comparisonsmentioning

confidence: 99%

“…The main idea behind [2] is that, in the SHO region, whenever the received signal is of unsatisfactory quality, the receiver scans the additional resolvable paths from the target BS and selects the strongest paths among the total available paths from both the serving and the target BSs. It has been shown that this scheme can reduce the unnecessary path estimations and the SHO overhead compared to the conventional generalized selection combining (GSC) scheme [3]- [5] which always uses L c /(L + L a )-GSC in the SHO region where L c is the number of fingers, L and L a are the total resolvable paths from the serving and the target BSs, respectively.…”

Section: Introductionmentioning

confidence: 99%

Finger Replacement Method for Rake Receivers in the Soft Handover Region

Choi

Alouini

Qaraqe

et al. 2008

IEEE Trans. Wireless Commun.

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Abstract-We propose and analyze a new finger replacement technique that is applicable for RAKE receivers in the soft handover (SHO) region. More specifically, the receiver uses in the SHO region by default the strongest paths from the serving base station (BS) and only when the combined signal-to-noise ratio falls below a certain pre-determined threshold, the receiver uses more resolvable paths from the target BS to improve the performance. Instead of changing the configuration for all fingers, the receiver just compares the sum of the weakest paths out of the currently connected paths from the serving BS with the sum of the strongest paths from the target BS and selects the better group. Using accurate statistical analysis, we investigate in this letter the tradeoff between error performance, average number of required path comparisons, and SHO overhead offered by this newly proposed scheme.

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Comparison of diversity combining techniques for Rayleigh-fading channels

Cited by 397 publications

References 13 publications

Virtual branch analysis of symbol error probability for hybrid selection/maximal-ratio combining in Rayleigh fading

Virtual branch analysis of symbol error probability for hybrid selection/maximal-ratio combining in Rayleigh fading

Performance Analysis of Selecting Maximal Ratio Combining Hybrid Diversity System over Ricean Fading Channels

Finger Replacement Method for Rake Receivers in the Soft Handover Region

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