Performance analysis of energy harvesting DF relay system in generalized-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="mml26" display="inline" overflow="scroll" altimg="si26.gif"><mml:mi>K</mml:mi></mml:math>fading environment

Blagojević, Vesna; Cvetković, Aleksandra; Ivaniš, Predrag

doi:10.1016/j.phycom.2018.04.006

Cited by 10 publications

(10 citation statements)

References 22 publications

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“…The varying process starts from A 2 . When W i becomes a little smaller, α i decreases a little and γ i increases a little, according to (18) and (20)…”

Section: (P7) Maxmentioning

confidence: 99%

“…Some studies give the optimal static PS and time allocation ratios for a DF relay network in terms of outage performance and ergodic performance with a 'harvest-then-forward' strategy [18], or in terms of the delay limited and delay-tolerant throughput [19]. Blagojevi et al [20] analyze the performance of the EH DF relay system in generalized-K fading environment. Abedi et al [21] study PS-based relay system with decoding cost, which is a generalized increasing function of the reception rate.…”

Section: Introductionmentioning

confidence: 99%

“…They solve the inner problem using the results of the single-user fading problem [45], and solve the outer problem using a water-filling algorithm. Almost all of the papers studying EH relays with a TS scheme do not consider the decoding cost [15], [17], [18], [20], [22], [24]- [26]. Most of the papers studying EH relays with a PS scheme also do not consider the decoding cost [16], [18]- [21], [23]- [25], [27], [46], [47].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage

Yao

et al. 2021

IEEE Access

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Energy harvesting (EH) relay communication systems with decoding energy costs in multiple block cases have not been widely studied. This paper investigates the relay network with a decode-andforward relay powered by EH. Unlike other works, we consider the relay with energy decoding costs which harvests random energy from both a dedicated transmitter and other ambient radio-frequency (RF) sources. The EH relay adopts a harvest-receive-forward time-switching architecture. We optimize the time fractions of the three phases and the reception rate at the relay to maximize the offline throughput for single and multiple block cases under two EH scenarios. The multi-block optimization problem constitutes a complex non-convex problem, which we decouple into a single block problem with two auxiliary variables determined by an outer optimization problem. The original problem is finally solved at the cost of linear optimization after series of tricks. Several conclusions are derived: (i) energy storage is necessary (unnecessary) when the relay harvests energy from the transmitter (ambient RF sources), (ii) the optimal reception rate remains unchanged, while the optimal time fractions vary with the energy harvested from ambient RF sources leading to different average throughput. We give numerical simulations to verify our theoretical analysis.

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“…The varying process starts from A 2 . When W i becomes a little smaller, α i decreases a little and γ i increases a little, according to (18) and (20)…”

Section: (P7) Maxmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage

Yao

et al. 2021

IEEE Access

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“…For example, DF relaying system with TSR and PSR energy harvesting protocol in Rayleigh fading environment is analysed in [20] while in [21] throughout performances of AF and DF relay-assisted communication system over Nakagami-m fading channel are de-rived. The EH applications in scenarios with both fading and shadowing effects are presented in [22,23]. To the best authors' knowledge, analysis of D2D communication with EH DF relay-assisted network over Fisher-Snedecor F model is not available in the literature.…”

Section: Introductionmentioning

confidence: 99%

Outage performance evaluation of device-to-device system with energy harvesting relay

et al. 2021

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The development of Internet of Things (IoT) devices as well as the increase of nodes in wireless networks, motivates the use of node?s cooperation for wireless system performance improvement. On the other hand, the power requirements of the increasing number of nodes leads to the need for new powering sources. In this paper we consider device-to-device (D2D) relay-assisted system, where decode-and-forward (DF) relay is not equipped with its own power supply, but it harvests energy and uses it for the data transfer to the destination node. System performance is derived for the Fisher-Snedecor F composite fading channel model and energy harvesting protocol based on time-switching scheme. The closed-form approximate expression for the outage probability is derived, that corresponds to the exact results. The impact of the channel fading and shadowing parameters and time-switching factor of energy harvesting protocol on the system performances are investigated. Numerical results are confirmed by an independent simulation method.

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“…The performance analysis of the wireless network where a transmitter harvests energy from both interference and ambient RF sources is presented in [ 20 ]. The combined use of a cognitive network [ 21 , 22 ] with the cooperative energy-harvesting approach [ 23 , 24 , 25 ] can further enable the coexistence of two networks in the same spectrum band with the controlled mutual interference that enables energy sustainability of network relay nodes [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Underlay Cognitive Radio System with Self-Sustainable Relay and Statistical CSI

Kozić

Blagojević

Ivaniš

2021

Sensors

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The relentlessly increasing number of small-sized devices with limited powering and computational capabilities requires the adoption of new approaches to spectrum access. In this paper, we analyze an underlay cooperative cognitive wireless system based on available statistical channel state information (CSI) that is applicable to the cognitive system with limited computational resources due to its low complexity. We considered the scenario where the primary and the cognitive network coexist in the same spectrum band, under the constraints of interference threshold and maximal tolerable outage permitted by the primary user. The communication in the secondary decode-and-forward (DF) relaying system is established via a self-sustainable relay, which harvests energy from both cognitive and primary transmitters. The closed-form expressions for the outage probability of the cognitive network are derived, which are valid for both time-switching relaying (TSR) and power-splitting relaying (PSR) protocols. We analyze the influence of both cognitive and primary systems as well as the impact of channel parameters on the cognitive system outage performance. The derived analytical results are corroborated by an independent simulation method.

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Performance analysis of energy harvesting DF relay system in generalized-Kfading environment

Cited by 10 publications

References 22 publications

Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage

Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage

Outage performance evaluation of device-to-device system with energy harvesting relay

Performance Analysis of Underlay Cognitive Radio System with Self-Sustainable Relay and Statistical CSI

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