Performance analysis of digital cellular radio systems in Nakagami fading and correlated shadowing environment

Abdel-Hafez, Mohammed; Safak, M.

doi:10.1109/25.790511

Cited by 26 publications

(14 citation statements)

References 11 publications

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“…For instance, under the Nakagami-m fading model, the signal power from the desired transmitter follows a Gamma distribution and the cumulative interference power P I is the sum of independent and non-identically distributed Gamma random variables. Several researchers have investigated the problem of obtaining closed form expressions for the SINR under different fading models [9,10]. These approaches are based on simplistic assumptions such as identically distributed interference powers and integer fading parameter (m) for the Nakagami-m fading channel.…”

Section: Node Isolation Probability For Different Fading Modelsmentioning

confidence: 99%

Connectivity analysis of wireless sensor networks with regular topologies in the presence of channel fading

Rajagopalan

Varshney

2009

IEEE Trans. Wireless Commun.

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This paper investigates the probabilistic connectivity of wireless sensor networks in the presence of channel fading. Due to the stochastic nature of wireless channels in sensor networks, the geometric disk shaped model widely used for connectivity analysis of sensor networks can be misleading. In this paper, we develop a mathematical model to evaluate the probabilistic connectivity of sensor networks which incorporates the characteristics of wireless channels, multi-access interference, the network topology and the propagation environment. We present an analytical framework for the computation of node isolation probability and network connectivity under different channel fading models. We also analyze the connectivity of sensor networks in the presence of unreliable sensors. We present numerical and simulation results that compare different regular topologies in terms of several metrics such as node isolation probability, end-to-end connectivity, and network connectivity.Index Terms-Channel fading, network connectivity, wireless sensor networks.

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Section: Node Isolation Probability For Different Fading Modelsmentioning

confidence: 99%

Connectivity analysis of wireless sensor networks with regular topologies in the presence of channel fading

Rajagopalan

Varshney

2009

IEEE Trans. Wireless Commun.

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“…Various forms for (2) have been derived in the literature (see e.g. Suzuki [3], Tjhung and Chai [4] and Abdel-Hafez and Safak [5]). A distribution that is more flexible than (1) is the well known Weibull distribution given by the pdf…”

mentioning

confidence: 98%

A class of generalized models for shadowed fading channels

Nadarajah

Kotz

2007

Wireless Pers Commun

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The commonly used models for shadowed fading channels arise by compounding the Nakagami distribution with others such as the log-normal and gamma distributions. A distribution that is more flexible than the Nakagami distribution is the well known Weibull distribution. In this paper, we derive a collection of generalized models for shadowed fading channels by compounding the Weibull distribution with other distributions belong to some fifteen flexible families. We also illustrate the superior performance of these models over the standard Nakagami models.

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“…where, E i = E{|h s i x p | 2 } is the mean value of the signal power as received at the RF front-end of the i th CR receiver and = E i =N 0 is the average SNR associated with the ith sensing link [6], [7], [8]. For local spectrum sensing, Y s i is compared with a given threshold i to infer the primary state θ.…”

Section: Fig1 System Modelmentioning

confidence: 99%

Performance Analysis of Decode–Amplify-and-Forward Scheme used in Relay-based Cooperative Spectrum Sensing in Cognitive Radio Network

Chack¹,

Dhurvey²,

Meena³

2016

IJCA

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In this paper we have analyzed performance of relay based Cognitive Radio (CR) networks. Later on we present a scheme for cooperative spectrum sensing known as DetectAmplify-and-Forward (DAF). This technique is having the capacity of sensing over non-identical Nakagami-m fading channels. We have also introduced an advanced statistical approach to derive a new relation in order to calculate the average false alarm probability and average detection probability.In subsequent section it is also proved that a small number of reliable cognitive radios are enough to achieve practical detection level in cooperative spectrum sensing instead of incorporating all CRs. The simulation results shows improvement in detection accuracy and reduction in bandwidth requirement of the relaying links by abstaining from the heavily faded relays in the DAF scheme

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Performance analysis of digital cellular radio systems in Nakagami fading and correlated shadowing environment

Cited by 26 publications

References 11 publications

Connectivity analysis of wireless sensor networks with regular topologies in the presence of channel fading

Connectivity analysis of wireless sensor networks with regular topologies in the presence of channel fading

A class of generalized models for shadowed fading channels

Performance Analysis of Decode–Amplify-and-Forward Scheme used in Relay-based Cooperative Spectrum Sensing in Cognitive Radio Network

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