Novel unified expressions for error rates and ergodic channel capacity analysis over generalized fading subject to AWGGN

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

2014

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This paper introduces novel performance analysis for the recently introduced generalized fading models, namely the η−μ, λ-μ and -distributions. These generalized fading enclose the Rice, the Hoyt, the Rayleigh the Nakagami-m, and the One-Sided Gaussian as special cases. Novel unified, generic and simple expressions for the Average Channel Capacity and the Average Error Rates in Additive White Generalized Gaussian Noise (AWGGN), that includes the AWGN, the Laplacian, the Gamma, and the impulsive noise as special cases, are developed deploying multichannel Maximal Ratio Combining (MRC) receiver. The unified expressions are based on new generalized -function and log2(1+ ) approximations. Published results from the technical literature as well as Monte Carlo simulations corroborate the generality and accuracy of the derived unified expressions under the different test scenarios.

Section: The Log2(1 + ) Approximationmentioning

confidence: 99%

Section: The Generalized -Function Approximationmentioning

confidence: 99%

Unified performance analysis of maximal ratio combining in η - μ, λ - μ and κ - μ generalized fading channels

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

2014

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“…As mentioned earlier, we will assume that the fading model of the individual links to be i.i.d. (independent and identically distributed) Nakagami-m channels which are subjected to additive generalized Gaussian noise [17] [18], and the channel state remains constant during each transmission period. The probability density function for a gamma random variable (RV) is given by [19] [20]:…”

Section: B Multi-access Mimo Relay Dcsk-cdmentioning

confidence: 99%

On the performance of DCSK MIMO relay cooperative diversity in Nakagami-m and generalized Gaussian noise scenarios

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

2016

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Chaotic Communications have drawn a great deal of attention to the wireless communication industry and research due to its limitless meritorious features, including excellent antifading and anti-intercept capabilities and jamming resistance exempli gratia. Differential Chaos Shift Keying (DCSK) is of particular interest due to its low-complexity and low-power and many attractive properties. However, most of the DCSK studies reported in the literature considered the additive white Gaussian noise environment in non-cooperative scenarios. Moreover, the analytical derivations and evaluation of the error rates and other performance metrics are generally left in an integral form and evaluated using numerical techniques. To circumvent on these issues, this work is dedicated to present a new approximate error rates analysis of multi-access multiple-input multiple-output dual-hop relaying DCSK cooperative diversity (DCSK-CD) in Nakagami-m fading channels (enclosing the Rayleigh fading as a particular case). Based on this approximation, closed-form expressions for the average error rates are derived for multiple relaying protocols, namely the error-free and the decode-andforward relaying. Testing results validate the accuracy of the derived analytical expressions.

“…However, a more generalized noise model which can be used in wireless communications systems and encompasses other noise models as special cases, such as the Laplacian and the Gamma noise, is the Additive White Generalized Gaussian Noise (AWGGN). It's formulated using the generalizedfunction given in [16] as: where Λ = Γ(3/ )/Γ(1/ ), and being the noise parameter. Table I illustrates how the noise special cases can be obtained from (4).…”

Section: B Additive White Generalized Gaussian Noisementioning

confidence: 99%

“…Table I illustrates how the noise special cases can be obtained from (4). It was shown in [16] and [17] that (4) can be accurately and efficiently approximated as a simple sum of four decaying exponential functions, given as:…”

Section: B Additive White Generalized Gaussian Noisementioning

confidence: 99%

Novel Unified Analysis of Orthogonal Space-Time Block Codes over Generalized-K and AWGGN MIMO Networks

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

Saleh

2015

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This paper presents a novel unified performance analysis of Space-Time Block Codes (STBCs) operating in the Multiple Input Multiple Output (MIMO) network. Specifically, we derive a novel unified expression for the average bit error rate for all coherent modulation schemes assuming independent and identically distributed generalized-K fading channels, which accounts for both multipath fading and shadowing, and modeled via the Nakagami-m distribution and the gamma distributions, respectively. The noise model in the network is assumed to be an Additive White Generalized Gaussian Noise (AWGGN), which encompasses the Laplacian and the Gaussian noise environments as special cases. The derived expression obviates the need to recalculate the diversity of various receivers for many fading and noise models in a piecemeal fashion. Published results from the literature as well as numerical integration methods corroborate the accuracy of the unified expression.