Performance of generalized selection combining receivers in K fading channels

Theofilakos, P.; Kanatas, Αthanasios G.; Efthymoglou, George P.

doi:10.1109/lcomm.2008.080779

Cited by 27 publications

(7 citation statements)

References 8 publications

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“…There is also yet another hybrid diversity combining algorithm used to mitigate short-term fading implying that it is a microdiversity approach implemented at a base station (or a mobile unit). This technique, known as the generalized selection combining (GSC) technique, uses both selection combining and MRC without using multiple base stations (Kong and Milstein 1999;Ning and Milstein 2000;Mallik and Win 2002;Annamalai and Tellambura 2003;Theofilakos et al 2008;). Since selection combining only uses a single branch from M diversity branches, the SC algorithm wastes resources by not using the remaining (M À 1) branches.…”

Section: Generalized Selection Combiningmentioning

confidence: 99%

Fading and Shadowing in Wireless Systems

Shankar

2012

140

131

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Section: Generalized Selection Combiningmentioning

confidence: 99%

Fading and Shadowing in Wireless Systems

Shankar

2012

140

131

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“…Moreover it is worth pointing out that (33) is in agreement with a previously known result, namely the analytical expression for the MGF of the K-distribution. [36,Eq. (4)].…”

Section: B Mgf-based Approachmentioning

confidence: 99%

Free-Space Optical Communication With Spatial Modulation and Coherent Detection Over H-K Atmospheric Turbulence Channels

Peppas

Mathiopoulos

2015

J. Lightwave Technol.

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Abstract-The use of optical spatial modulation (OSM), which has been recently emerged as a power and bandwidth efficient pulsed modulation technique for indoor optical wireless communication, is proposed as a simple, low-complexity means of achieving spatial diversity in coherent free space optical (FSO) communication systems. In doing so, this paper makes several novel contributions as follows. It presents a generic analytical framework for obtaining the Average Bit Error Probability (ABEP) of uncoded OSM with coherent detection in the presence of turbulence-induced fading. Although the framework is general enough to accommodate any type of models based on turbulence scattering, the focus in this paper is the H-K distribution. Although this distribution represents a very general scattering model valid over a wide range of atmospheric conditions, it is has not been considered in the past in conjunction with FSO systems possibly because of its mathematical complexity. The proposed analytical framework yields exact performance evaluation results for MIMO systems with two transmit and an arbitrary number of receive apertures. In addition, tight upper bounds are derived for the error probability for OSM systems with an arbitrary number of transmit apertures as well as for convolutionally encoded signals. The performance of OSM is compared to that of well established coherent FSO schemes, employing spatial diversity at the transmitter or the receiver only. Specifically, it is shown that OSM can offer comparable performance with conventional coherent FSO schemes while outperforming the latter in terms of spectral efficiency and hardware complexity. Various numerical performance evaluation results are also presented and compared with equivalent results obtained by Monte Carlo simulations which verify the accuracy of the derived analytical expressions.Index Terms-average bit error probability, atmospheric turbulence, coherent detection, free space optical communication systems, H-K distribution, multiple-input multiple-output (MIMO) systems, optical spatial modulation.

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“…. , N ) are determined by maximizing n while satisfying the constraint M n (8) where is a threshold. In this paper, our focus is on the performance of source extraction under the proposed sensor selection scheme, and not on the effect of number of quantization bits on the performance of source extraction.…”

Section: Sensor Selection Schemementioning

confidence: 99%

“…Diversity combining was proved to be an effective technique to combat channel fading. In generalized selection combining, the branches with the largest SNRs are selected and combined [8]. The idea proposed in this paper is motivated by these works, but the combination of sensor observations is different from the combination of antennas or branches.…”

Section: Introductionmentioning

confidence: 99%

Sensor selection for source extraction in heterogeneous wireless sensor networks

Chen

Feng

Tse

2009

Int J Communication

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SUMMARYA sensor selection scheme for source extraction in heterogeneous wireless sensor networks is proposed. The proposed scheme selects the sensors corresponding to the reconstructed mixtures with the largest signal-to-noise-ratios to transmit their data to a fusion center. It exploits the heterogeneity of the sensor observations and reduces the amount of transmissions. The results demonstrate that the proposed scheme outperforms the full utilization scheme and the random selection scheme.

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Performance of generalized selection combining receivers in K fading channels

Cited by 27 publications

References 8 publications

Fading and Shadowing in Wireless Systems

Fading and Shadowing in Wireless Systems

Free-Space Optical Communication With Spatial Modulation and Coherent Detection Over H-K Atmospheric Turbulence Channels

Sensor selection for source extraction in heterogeneous wireless sensor networks

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