Shannon Capacity for a Simple Communication Channel Model in Dense MANETs

Moraes, Renato M. de; Pimentel, Carlos E. B. Cruz; Araujo, F.P. de

doi:10.1109/iwcmc.2008.77

Cited by 3 publications

(9 citation statements)

References 17 publications

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“…These facts allow us to approximate the node distribution by a continuous distribution, in order to replace the summation in Eq. (1) by an integral [4], [5], [6]. Furthermore, the analytical results obtained with our approach were very close to the Monte-Carlo simulations, as shown in Section IV; hence, validating our modeling.…”

Section: A Analytical Modelsupporting

confidence: 84%

“…g ij (t) is the gain of the channel from the transmitter node i to the receiver node j. g ij (t) is the main difference between the previous models [4], [5], [6], [7], [8], [9], [10] and the one discussed in this work. For a given time t, it is function of the Euclidean distance r between nodes, the quadratic random variable ¬ 2 describing the Rayleigh fading and the path loss parameter AE, i.e., g ij (t) = g(AE,¬ 2 , r) (or sometimes simply g).…”

Section: A Analytical Modelmentioning

confidence: 89%

“…The network model used to meet our goals was first proposed in [4] and improved in [5] and [6] as an attempt to make a mathematical description of the spectral efficiency behavior in MANETs. The motivation for this comes from results obtained by other researchers such as Gupta and Kumar [7], Grossglauser and Tse [8].…”

Section: Network Model and Related Workmentioning

confidence: 99%

“…This is due in part to the fact that communication is always between the nearest neighbors, causing the received signal strength to overcome the interference generated by other network transmitters [5]. On previous works [4], [5], [6], [7], [8], [9], [10], the communication channel model employed assumes a received power law decaying with the inverse of distance (between transmitter and receiver) raised to the exponent AE. Our work extend previous analysis to include a channel propagation model that considers the law of conservation of energy and fading.…”

Section: Network Model and Related Workmentioning

confidence: 99%

“…Previous models considered the gain g varying with the inverse of the distance r between transmitter and receiver and with the path loss parameter AE according to [4], [5], [6], [7], [8], [9], [10] g(AE, r) = 1 r AE .…”

Section: B Previous Propagation Modelmentioning

confidence: 99%

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Channel capacity in dense MANETs for a propagation model considering the law of conservation of energy and fading

Paula

Moraes

2012

2012 IEEE Wireless Communications and Networking Conference (WCNC)

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The present work investigates the behavior of the signal to noise and interference ratio (SNIR) and communication channel capacity of mobile ad hoc networks (MANETs) as a function of the number of nodes. From the propagation model that considers attenuation with the distance, a change was proposed such that, as the transmitter arbitrarily approximates to the receiver, the channel gain depends only on the fading, in order to have the received power not greater than the transmitted power; therefore, obeying the law of conservation of energy. Results were obtained analytically and by simulations and they show that the SNIR and capacity go to zero as the node density in the network increases for the path loss parameter AE ∏ 2, indicating that communication among close neighbors is not feasible in such MANETs.

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Section: A Analytical Modelsupporting

confidence: 84%

Section: A Analytical Modelmentioning

confidence: 89%

Section: Network Model and Related Workmentioning

confidence: 99%

Section: Network Model and Related Workmentioning

confidence: 99%

Section: B Previous Propagation Modelmentioning

confidence: 99%

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Channel capacity in dense MANETs for a propagation model considering the law of conservation of energy and fading

Paula

Moraes

2012

2012 IEEE Wireless Communications and Networking Conference (WCNC)

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Capacidade de Redes Ad Hoc sem Fio utilizando um Modelo de Canal com Desvanecimento Rayleigh e Atenuação com Distância

Lima-e-Lima¹,

Pimentel²,

Moraes³

2009

Anais Do XXVII Simpósio Brasileiro De Telecomunicações

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Resumo-Este artigo apresenta o cálculo da capacidade de canal para redes ad hoc móveis (em inglês mobile ad hoc networks, MANETs) densas utilizando um modelo de comunicação que inclui atenuação com distância e desvanecimento Rayleigh.É mostrado que a capacidade não decai a zero quando o número (n) de nós na rede cresce ao infinito desde que o parâmetro de atenuação com a distância (α) seja maior que dois e que os nós transmissores procurem transmitir para nós receptores que estejam suficientemente próximos. Resultados analíticos e obtidos por simulação Monte-Carlo são comparados.É também proposta uma técnica de coordenação tal que os nós possam comportarse ora como transmissor ora como receptor de acordo com um parâmetro (θ) de fração de transmissores na rede.Palavras-Chave-Capacidade, interferência, redes ad hoc.

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