An Efficient Method for Evaluating Information Outage Probability and Ergodic Capacity of OSTBC System

Palat, R.C.; Annamalai, A.; Reed, Jeffrey H.

doi:10.1109/lcomm.2008.071934

Cited by 39 publications

(23 citation statements)

References 13 publications

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“…do not have a built-in generalized Marcum Q-function for its complex arguments. As a consequence, one could not directly evaluate the desired outage probability using a numerical Laplace or Fourier inversion technique (e.g., [32]- [33]]) with the closed-form MGF depicted in (11). We circumvent this difficulty by exploiting an alternative, rapidly converging series representation for the generalized Q-function in [34].…”

Section: Outage Probabilitymentioning

confidence: 99%

“…As pointed out in [24]- [25], the marginal MGF of T  can also be computed very efficiently (complexity similar to evaluating the CDF of T  from its MGF) using the Laplace inversion technique [32]- [33] if the MGF of T  is available in closed-form, which is true in our case (i.e., (18)). As pointed out in the preceding sections, it is also possible to derive a closed-form expression for the marginal MGF in Rayleigh and Nakagami-m fading environments using (18).…”

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confidence: 99%

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2012

IJCNC

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This article develops an extremely simple and tight closed-form approximation for the moment generating function (MGF) of signal-to-noise ratio (SNR) for two-hop amplify-and-forward relayed paths over generalized fading environments. The resulting expression facilitates efficient analysis of twohop cooperative amplify-and-forward (CAF) multi-relay networks over a myriad of stochastic channel models (including mixed-fading scenarios where fading statistics of distinct links in the relayed path may be from different family of distributions). The efficacy of our proposed MGF expression for computing the average symbol error rate (ASER), outage probability, and the ergodic capacity (with limited channel side-information among cooperating nodes) is also studied. Numerical results indicate that the proposed MGF expression tightly approximates the exact MGF formulas and outperforms the existing MGF of lower and upper bounds of the half-harmonic mean (HM) SNR, while overcoming the difficulties associated in deriving an

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Section: Outage Probabilitymentioning

confidence: 99%

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confidence: 99%

Untitled

2012

IJCNC

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“…These definitions depend on the different employed power and rate adaptation policies and the existence, or not, an outage probability [1][2][3][4][5]. Earlier, the channel capacity has been studied by various researchers for several fading environment [14][15][16][17][18][19][20][21][22][23][24][25][26]. Goldsmith and Varaiya [14], have examined the channel capacity of the Rayleigh fading channels under different adaptive transmission techniques.…”

Section: Introductionmentioning

confidence: 99%

“…In [23], the characteristics function (CF ) is developed for computing the ergodic channel capacity. In [24,25], the moment generating function based (MGF) approach is proposed for the computation of the channel capacity only for C ora scheme by using numerical techniques. In [26], a novel MGF based approach is developed for evaluation of channel capacity for various rate adaptations and transmit power.…”

Section: Introductionmentioning

confidence: 99%

A Novel MGF Based Analysis of Channel Capacity of Generalized-K Fading With Maximal-Ratio Combining Diversity

Dwivedi¹,

Singh²

2012

PIER C

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Abstract-In this paper, we have analyzed the channel capacity by using the maximal-ratio combing (MRC) diversity scheme for communication systems operating over a composite fading environment modeled by the Generalized-K distribution at the receiver. For the Generalized-K fading channel with arbitrary values for small and large scale fading parameters, we have derived a closed-form expression for the moment generating function (MGF) of the received signal-to-noise ratio (SNR) and utilized it to obtain a novel closed-form expressions for the channel capacity under different adaptive transmission schemes. The result of the proposed methods is compared with other reported literature to support the analysis.

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“…In general, the capacity in fading channel is a complex expression in terms of the channel variation in time and/or frequency depending upon the transmitter and/or receiver knowledge of the channel side information [1][2][3][4]. Earlier, the channel capacity has been studied by various researchers for several fading environments [5][6][7][8][9][10][11][12][13][14][15][16]. In [5], Goldsmith and Varaiya have examined the capacity of Rayleigh fading channels under different adaptive transmission techniques.…”

Section: Introductionmentioning

confidence: 99%

Marginal Moment Generating Function Based Analysis of Channel Capacity Over Correlated Nakagami-M Fading With Maximal-Ratio Combining Diversity

Dwivedi¹,

Singh²

2012

PIER B

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Abstract-In this paper, we have investigated the marginal moment generating function (MMGF) for the correlated Nakagami-m fading channel by using maximal-ratio combining (MRC) diversity scheme at receiver for the computation of channel capacity for various adaptive transmission schemes such as: 1) optimal simultaneous power and rate adaptation, 2) optimal rate adaptation with constant transmit power, 3) channel inversion with fixed rate, and 4) truncated channel inversion with fixed rate. The effects of diversity receiver as well as correlation coefficients on all these transmission schemes are discussed and the channel capacity obtained using this proposed approach for all schemes is compared with reported literature.

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An Efficient Method for Evaluating Information Outage Probability and Ergodic Capacity of OSTBC System

Cited by 39 publications

References 13 publications

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A Novel MGF Based Analysis of Channel Capacity of Generalized-K Fading With Maximal-Ratio Combining Diversity

Marginal Moment Generating Function Based Analysis of Channel Capacity Over Correlated Nakagami-M Fading With Maximal-Ratio Combining Diversity

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