Energy Efficiency of Network Coded Cooperative Communications in Nakagami-$m$ Fading

2015 International Symposium on Wireless Communication Systems (ISWCS)

et al. 2015

Self Cite

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.

“…Thus, by replacing (14) in (13) and solving the integral after resorting to [19, (6.35)], one obtain (7), concluding the proof.…”

Section: Appendix a Proof Of Lemmamentioning

confidence: 69%

mentioning

confidence: 99%

Network-coded secondary communication with opportunistic energy harvesting

Moritz

Mafra

2015 International Symposium on Wireless Communication Systems (ISWCS)

et al. 2015

Self Cite

“…The outage probability as a function of the secondary attempted rate R s is presented in Figure 5, for P p D 10 dB,ˇD 30 dB, without a maximum transmit power § The performance of the GDNC scheme for an asymmetric scenario was investigated in [30] where it was shown that the symmetric assumption yields similar results with much reduced mathematical complexity. constraint ¶ .…”

Section: Numerical Resultsmentioning

confidence: 99%

“…§ § The performance of the GDNC scheme for an asymmetric scenario was investigated in where it was shown that the symmetric assumption yields similar results with much reduced mathematical complexity.…”

mentioning

confidence: 99%

Outage performance of a network coding aided multi‐user cooperative secondary network

Mafra

Souza

Trans. Emerging Tel. Tech.

et al. 2015

We evaluate the performance of a network‐coded cooperative secondary network in a cognitive radio system under spectrum sharing constraints. The secondary network is composed of multiple sources that cooperate to transmit their own information to a common secondary destination. The outage probability is analysed under a given maximum interference constraint set by the primary network as well as to the maximum transmit power limit of the secondary sources. Moreover, we also obtain a closed‐form equation for the ϵ‐outage capacity, that is, the maximum information rate achieved by the secondary sources given a target outage probability. Also, we resort to the Dinkelbach algorithm in order to find the optimum number of parity packets that maximises the ϵ‐outage capacity. The influence of the number of source nodes and another system parameters in the secondary's performance is also evaluated, and we show through theoretical and numerical results that cooperative communication with network coding can provide significant gains in terms of outage probability and diversity order when compared with non‐cooperative or traditional cooperative. Copyright © 2015 John Wiley & Sons, Ltd.

“…Another possibility to further increase the performance of a cooperative network is to explore network coding [16], by enabling the nodes to transmit linear combinations of two or more IFs in the cooperative phase. Recent works have shown that, if the linear combinations are performed over a large enough finite field GF(q), greater benefits in terms of diversity order [17], [18] or even energy efficiency [19] can be achieved.…”

Section: Introductionmentioning

confidence: 99%

Time-Switching Uplink Network-Coded Cooperative Communication With Downlink Energy Transfer

Moritz

IEEE Trans. Signal Process.

Souza

et al. 2014

Self Cite

Abstract-In this work, we consider a multiuser cooperative wireless network where the energy-constrained sources have independent information to transmit to a common destination, which is assumed to be externally powered and responsible for transferring energy wirelessly to the sources. The source nodes may cooperate, under either decode-and-forward or network coding-based protocols. Taking into account the fact that the energy harvested by the source nodes is a function of the fading realization of inter-user channels and user-destination channels, we obtain a closed-form approximation for the system outage probability, as well as an approximation for the optimal energy transfer period that minimizes such outage probability. It is also shown that, even though the achievable diversity order is reduced due to wireless energy transfer process, it is very close to the one achieved for a network without energy constraints. Numerical results are also presented to validate the theoretical results.