Ergodic Capacity for the SIMO Nakagami- Channel

Vagenas, Efstathios D.; Karadimas, Petros; Kotsopoulos, Stavros

doi:10.1155/2009/802067

Cited by 11 publications

(8 citation statements)

References 6 publications

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“…Thus, the capacity of an SSC system operating over Hoyt fading channels with cifr is zero. We can confirm that by setting = 0.5 in (25), which results in ς Á− cifr = 0. When ς Á− cifr is zero, no switching takes place, which is the same as no diversity.…”

Section: Channel Capacity With Cifrsupporting

confidence: 65%

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On the channel capacity of SSC diversity system in η–μ and κ–μ fading environments

Khatalin¹

2015

AEU - International Journal of Electronics and Communications

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Section: Channel Capacity With Cifrsupporting

confidence: 65%

“…When ς Á− cifr is zero, no switching takes place, which is the same as no diversity. It was shown in [19,21,25] that the capacity of Rayleigh fading channels under cifr with no diversity is zero. Since Hoyt is worse fading than Rayleigh, then this confirms the capacity results for Hoyt fading.…”

Section: Channel Capacity With Cifrmentioning

confidence: 99%

On the channel capacity of SSC diversity system in η–μ and κ–μ fading environments

Khatalin¹

2015

AEU - International Journal of Electronics and Communications

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“…Setting y = x 2 in (76), using the infinite-series representation of I o (·) from [24] and the following identity from [25], i.e., …”

Section: Appendix C Proof Of Infinite Series (31)mentioning

confidence: 99%

Ergodic Capacity Optimization for Single-Stream Beamforming Transmission in MISO Rician Fading Channels

Kontaxis

Tsoulos

Karaboyas

2013

IEEE Trans. Veh. Technol.

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The maximization of the ergodic capacity for singlestream beamforming, which is a (constrained) transmission scheme referred to as "optimum beamforming," has been extensively addressed in the open literature for multiple-inputsingle-output (MISO) Rayleigh fading channels and spatially uncorrelated MISO Rician fading channels with a unit transmit covariance matrix, and closed-form solutions have been derived for these cases. However, optimum beamforming for spatially correlated or uncorrelated MISO Rician fading channels with a nonunit transmit covariance matrix has received less attention and remains a complex multidimensional optimization problem. This paper first proves that this convex constrained optimization problem can be reduced to only one dimension; hence, it can be solved very fast using standard 1-D search algorithms. Then, simulations mainly performed for linear equispaced antenna arrays demonstrate that: 1) the proposed method for the calculation of the optimum beamformer has significantly lower computational complexity compared with other currently used multidimensional algorithms; and 2) the optimum beamformer further improves capacity compared with the (single-stream) beamforming transmission that maximizes the signal-to-noise ratio (SNR) at the receiver, whereas in some operational environments, it achieves ergodic capacity that is very close or equal to the maximum ergodic capacity. Index Terms-Beamforming, capacity optimization, Rician fading channels.George V. Tsoulos (SM'02) received the M.Eng. degree from National Technical University of Athens, Athens, Greece, and the Ph.D. degree from the University of Bristol, Bristol, U.K.Since the early 1990s, he has been involved in several pioneering research collaborative projects in smart antennas (e.g., TSUNAMI I and II, SUNBEAM) and has worked for a range of leading companies around the world in the design and analysis of advanced wireless communication systems. He is currently an Associate Professor with the Department of Telecommunication Science and Technology, University of Peloponnese, Tripoli, Greece. His research interests include smart antenna/multiple-input-multiple-output systems, Green Wireless Systems, very large antenna array systems, and emerging wireless communication technologies.

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“…It should be noted that Mejjer's G-function is widely available in many scientific software packages such as MATHEMATICA and MAPLE. A closed-form expression for the channel capacity for dual branch MRC combiner at receiver with correlated identically distributed Nakagami-m fading channel is presented in [27, (3)], but the average channel capacity provided by [27] is valid only for integer values of the fading parameters m as discussed in [28]. The mathematical expression derived for the average channel capacity in this paper which is given by (12) is valid for both integer and non-integer values of the fading parameters.…”

Section: Average Channel Capacitymentioning

confidence: 99%

A novel moment generating function based performance analysis over correlated Nakagami-m fading channels

Dwivedi

Singh

2011

J Comput Electron

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The bit-error rate and channel capacity have been regarded as fundamental information theoretic performance measure to predict the maximum information rate of a communication system. In contrast, with the analysis of other important performance measures of the wireless communication systems, a novel and unified general approach for computing the bit-error-rate and channel capacity over the correlated Nakagam-m fading channels have been proposed. In this paper, we have analyzed and numerically simulated the bit-error-rate and channel capacity of the correlated Nakagami-m fading channel by using the moment generating function (MGF) based approach. The derived mathematical expression for the channel capacity is in terms of the Meijer G function which is valid for both integer and non-integer values of the fading parameters.

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Ergodic Capacity for the SIMO Nakagami- Channel

Cited by 11 publications

References 6 publications

On the channel capacity of SSC diversity system in η–μ and κ–μ fading environments

On the channel capacity of SSC diversity system in η–μ and κ–μ fading environments

Ergodic Capacity Optimization for Single-Stream Beamforming Transmission in MISO Rician Fading Channels

A novel moment generating function based performance analysis over correlated Nakagami-m fading channels

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