Capacity of MIMO systems in Rayleigh fading and shadowing

Pillutla, Laxminarayana S.; Jayaweera, Sudharman K.

doi:10.1109/acssc.2004.1399321

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…Most of the referred literature [10][11][12] and other existing literature are centered on the effect of macrodiversity and microdiversity on the average error probability. However, there is a lack of studies of both effects on MIMO capacity, and only a few results [13][14][15]23] have been published. In [13] Gauss-Hermite integration is used for presenting an approximated capacity expression.…”

Section: Results For Composite Channel (Rayleigh + Shadowing)mentioning

confidence: 99%

“…In [13] Gauss-Hermite integration is used for presenting an approximated capacity expression. The work in [14] is centered on the analysis of the capacity with different adaptive schemes. In [15], it is proposed that shadowing can change the performance of MIMO systems and a preliminary analysis for D-MIMO systems with both fading effects is provided in [23].…”

Section: Results For Composite Channel (Rayleigh + Shadowing)mentioning

confidence: 99%

“…The composite channel of Rician fading with shadowing is studied in [24,25]. In [14], a semianalytical expression is presented for the probability density function and in [26]; new accurate formulas for obtaining symbol error outage are presented. However, in the literature, up to the authors' knowledge, no work about Shannon capacity for D-MIMO systems with a composite Rician-shadowed channel has been presented.…”

Section: Results For Composite Channel (Rician + Shadowing)mentioning

confidence: 99%

“…where is the transmitted signal vector with total transmitted power ( ) = and the terms of noise vector are modeled as zero-mean complex Gaussian random variables with variance 0 = 2 per dimension and is the channel matrix that can be modeled as [13][14][15] = √ micro ,…”

Section: Composite Model For Microdiversity and Macrodiversitymentioning

confidence: 99%

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On the MIMO Capacity for Distributed System under Composite Rayleigh/Rician Fading and Shadowing

Gonzalez-Aurioles

Padilla

et al. 2015

International Journal of Antennas and Propagation

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Wireless channels are commonly affected by short-term fading and long-term fading (shadowing). The shadowing effects must be taken into account also when mobility is present in the wireless scenario. Using a composite fading model, the total channel capacity can be studied for a scenario with short-term Rayleigh fading along with shadowing. This work provides quantitative results for these kinds of scenarios with Rayleigh fading and shadowing, considering also multiple-input and multiple-output systems, which have not been previously reported. In addition, the channel capacity has been studied in depth in its relation with the shadowing level, signal to noise ratio, and the number of elements in the multiple-input and multiple-output system. Moreover, the channel performance with shadowing has been compared to the one without it. Furthermore, Rician model with shadowing is studied and its results are reported. In addition, correlated and experimental results are provided. It is identified that the distributed MIMO systems can benefit from shadowing in Rician channels. This advantage has not been reported previously. This type of fading is proposed for massive MIMO by others and our results open the door to emulate massive MIMO on a reverberation chamber.

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Section: Results For Composite Channel (Rayleigh + Shadowing)mentioning

confidence: 99%

Section: Results For Composite Channel (Rayleigh + Shadowing)mentioning

confidence: 99%

Section: Results For Composite Channel (Rician + Shadowing)mentioning

confidence: 99%

Section: Composite Model For Microdiversity and Macrodiversitymentioning

confidence: 99%

See 2 more Smart Citations

On the MIMO Capacity for Distributed System under Composite Rayleigh/Rician Fading and Shadowing

Gonzalez-Aurioles

Padilla

et al. 2015

International Journal of Antennas and Propagation

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“…The small-scale fading is assumed to be uncorrelated flat Raleigh fading. In this case channel matrix H k can be modeled as [3], [7], [8] …”

Section: System Modelmentioning

confidence: 99%

Effect of mobile velocity on the system capacity in LTE DL

Oborina

2013

ICECom 2013

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This paper investigates the impact of the mobility to the system performance in different mobility scenarios in 3GPP LTE DL. The ergodic system capacity based on moment generating function (MGF) for post-processed SINR is used for the measure of system performance. All the parameters of MGF function are derived analytically including all channel impairments. The system simulations results in realistic mobility scenarios with 3, 10, 30, 60, 80 and 120 km per hour in LTE DL network confirm an clear impact of the mobile velocity to the ergodic system capacity and demonstrate about 25% loss in system performance.

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On the achievable throughput of ad-hoc networks with MIMO Rician channels

Motamedi

Soleymani

2008

2008 Canadian Conference on Electrical and Computer Engineering

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Capacity of MIMO systems in Rayleigh fading and shadowing

Cited by 8 publications

References 6 publications

On the MIMO Capacity for Distributed System under Composite Rayleigh/Rician Fading and Shadowing

On the MIMO Capacity for Distributed System under Composite Rayleigh/Rician Fading and Shadowing

Effect of mobile velocity on the system capacity in LTE DL

On the achievable throughput of ad-hoc networks with MIMO Rician channels

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