Wireless energy harvesting in cognitive radio with opportunistic relays selection

Le, Thanh-Dat; Shin, Oh‐Soon

doi:10.1109/pimrc.2015.7343434

Cited by 13 publications

(7 citation statements)

References 12 publications

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“…where Pr {γ SR ≤ γ th |γ R3 > γ 0 } = P γ0 SRm (γ th ) obtained in (23). Thus, considering the distribution of X R1 , we can reexpress P γ0…”

Section: Ordl-weh Schemementioning

confidence: 99%

“…Actually, relay selection (RS) has been proved as an efficient way to improve the diversity gain achieved at the destination and to simplify the implementation of the system, while making use of the fact that various copies of the same transmitted signal are available from independent fading paths at the destination. [23] and [24] investigated the outage performance of a CR system with opportunistic relays selection scheme, while considering that the source and relays are able to harvest energy, respectively. More specifically, various best RS schemes have been studied for common cooperative networks or the collaborative networks with wireless power transferring, under which the relay candidate with the optimal relay-destination link (ORDL), the optimal source-relay link (OSRL) or the optimal source-relay-destination link (OSRDL) is chosen as the relay, that is, ORDL, OSRL and OSRDL schemes [25]- [27].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, one can see that relay schemes have not been fully investigated in cooperative CR systems with wireless energy harvesting (WEH) and most of the existing works only studied traditional RS schemes. [23] and [24] only considered the traditional OSRDL relay selection scheme and wireless powered devices in CR scenarios. Moreover, infinite energy storage size is considered at the relays, leading to unpractical results.…”

Section: Introductionmentioning

confidence: 99%

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Relay Selections for Cooperative Underlay CR Systems With Energy Harvesting

Liu

Zhao

et al. 2019

IEEE Trans. Cogn. Commun. Netw.

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In this work, we consider a cooperative underlay cognitive radio system in which one secondary user (S) transmits its data to a secondary receiver with the assistance of multiple relays. In the considered underlay spectrum sharing scenario, the transmit power levers at S and forwarding relays are adjusted simultaneously according to a given threshold interference power that the primary user can tolerate. We also consider that relays adopt threshold decode-and-forward relay scheme and harvest energy from the primary transmitter with finite energy storage capacity under time switching scheme. Three best relay selection schemes, optimal source-relay link with wireless energy harvesting (WEH), optimal relay-destination link with WEH and optimal source-relay-destination link with WEH schemes, are proposed and studied. Closed-form analytical expressions for the outage probability of these three best relay selection schemes are derived, respectively. Finally, our analytical results are verified by Monte-Carlo simulations.

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“…where Pr {γ SR ≤ γ th |γ R3 > γ 0 } = P γ0 SRm (γ th ) obtained in (23). Thus, considering the distribution of X R1 , we can reexpress P γ0…”

Section: Ordl-weh Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Relay Selections for Cooperative Underlay CR Systems With Energy Harvesting

Liu

Zhao

et al. 2019

IEEE Trans. Cogn. Commun. Netw.

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“…The authors derive a closed-form expression of system outage probability. In [16], authors further illustrate outage performance analysis by jointly considering PU' s interference threshold, CT's transmission power constraint and path loss factors. In [17], authors analyze outage probability of EH-CR cooperative network, where CT collects energy from primary transmitter (PT) and acts as relay during PT's signal transmission.…”

Section: Introductionmentioning

confidence: 99%

Joint Beamforming and Power Splitting Design for Physical Layer Security in Cognitive SWIPT Decode-and-Forward Relay Networks

2020

KSII TIIS

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In an underlay cognitive simultaneous wireless information and power transfer (SWIPT) network, communication from secondary user (SU) to secondary destination (SD) is accomplished with decode-and-forward (DF) relays. Multiple energy-constrained relays are assumed to harvest energy from SU via power splitting (PS) protocol and complete SU secure information transmission with beamforming. Hence, physical layer security (PLS) is investigated in cognitive SWIPT network. In order to interfere with eavesdropper and improve relay's energy efficiency, a destination-assisted jamming scheme is proposed. Namely, SD transmits artificial noise (AN) to interfere with eavesdropping, while jamming signal can also provide harvested energy to relays. Beamforming vector and power splitting ratio are jointly optimized with the objective of SU secrecy capacity maximization. We solve this non-convex optimization problem via a general two-stage procedure. Firstly, we obtain the optimal beamforming vector through semi-definite relaxation (SDR) method with a fixed power splitting ratio. Secondly, the best power splitting ratio can be obtained by one-dimensional search. We provide simulation results to verify the proposed solution. Simulation results show that the scheme achieves the maximum SD secrecy rate with appropriate selection of power splitting ratio, and the proposed scheme guarantees security in cognitive SWIPT networks.

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“…A relay selection protocol was proposed for decode-and-forward relaying network in [10], where one relay among multiple energy harvesting relays will be chosen to help the source transmission. An improved CR model was proposed in [11] that the secondary system can harvest energy from RF signals and share the spectrum of primary system to broadcast its own information. To be the best of our knowledge, relay selection in cognitive AF relay network with energy harvesting under overlay model has not been investigated.…”

Section: Introductionmentioning

confidence: 99%

Wireless Energy Harvesting in Cognitive AF Network With Relay Selection

Han¹,

Chen²,

Wu³

2016

Proceedings of the 2016 4th International Conference on Electrical &Amp; Electronics Engineering and Computer Science (ICEEECS

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In this paper, we propose an improved cognitive amplify-and-forward relaying model, in which the multiple secondary users can harvest energy from the primary network, assisting primary user transmission and meanwhile performing secondary transmission in a spectrum-sharing network. One secondary user having highest harvested energy among multiple secondary users will be selected as a relay to broadcast information. The outage probabilities (OP) of the primary and secondary network are investigated to evaluate the performance of network over Rayleigh fading channels. In particularly, we derive the analytical expression of OP for primary and secondary network. Moreover, the closed-form expression of lower bound for OP at secondary user is obtained. Analysis results are validated by the Monte-Carlo simulation results, which show that the improved cognitive radio model and the number of relays have significant improvement in the system OP.

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Wireless energy harvesting in cognitive radio with opportunistic relays selection

Cited by 13 publications

References 12 publications

Relay Selections for Cooperative Underlay CR Systems With Energy Harvesting

Relay Selections for Cooperative Underlay CR Systems With Energy Harvesting

Joint Beamforming and Power Splitting Design for Physical Layer Security in Cognitive SWIPT Decode-and-Forward Relay Networks

Wireless Energy Harvesting in Cognitive AF Network With Relay Selection

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