Network-coded secondary communication with opportunistic energy harvesting

Abstract

We consider a cognitive wireless network with two energy-constrained secondary users (SUs) and a common secondary destination, where the SUs harvest energy from the transmitted signals of primary user (PU). We obtain closed-form approximations for the outage probability, the outage capacity and the optimum energy harvesting time of the proposed scheme. The analytical derivations are validated by numerical results.

Performance Analysis of Energy Constrained Cognitive Full-Duplex Generalized Network Coding Scheme

“…In [7], an energy constrained cognitive half-duplex GNC (EC-HD-GNC) scheme is proposed where first, each user devotes α of each time-slot for harvesting energy from the signal of T p , then each user sends a new information or parity packet in a half of the remaining of the time slot. The authors adopt the GNC scheme that was proposed in [6].…”

“…In [7], the authors analyzed a cognitive wireless network with two energy-constrained SUs and a common secondary destination, where the SUs harvest energy from the transmitted signals of primary user. The authors consider that the secondary users are able to send linear combinations of their own information and those of other nodes by adopting the GNC scheme.…”

“…Moreover, we consider Nakagami-m fading in order to evaluate the effect of the lineof-sight. The performance in terms of outage probability of the proposed energy constrained cognitive full-duplex GNC (EC-FD-GNC) is compared with the energy constrained halfduplex network coding scheme proposed in [7] and with the direct transmission.…”

Análise de Desempenho de uma Rede Cognitiva Full-Duplex com Captação de Energia

“…onde I sdé a informação mútua do canal S → D e Ré a taxa de transmissão esperada. Uma expressão fechada para (5) foi apresentada em [14]:…”

“…Demonstração: A fim de encontrar a probabilidade de outage para o enlace R → D em (14), nos auxiliaremos de resultado apresentado em [16] para aproximar o produto de duas variáveis aleatórias Nakagami-m (Z k = h pk h kd ) por uma variável Gamma (Λ k ∼ Γ(ξ, ̺ k )), onde k ∈ {s, r}, cujos parâmetros ξ e ̺ k podem ser estimados através do método gerador de momentos descrito em [18]. Para isso, definem-se o primeiro e o segundo momentos de Λ como E[Λ k ] = ξ̺ k e E[Λ 2 k ] = ξ(1 + ξ)̺ 2 k [18].…”