Effect of Hardware Imperfections and Energy Scavenging Nonlinearity on Overlay Networks in $$\kappa -\mu $$ Shadowed Fading

Le-Thanh, Toi; Ho-Van, Khuong

doi:10.1007/s13369-022-06890-7

Cited by 7 publications

(17 citation statements)

References 38 publications

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“…This paper generalizes Solanki et al 16 and Le‐Thanh and Ho‐Van 46 as follows: We leverage the PS‐{PD, SD} direct channels for enhancing the probability of exactly decoding PS's information at both PD and SD, increasing the possibility of correctly decoding SS's information at SD. It is recalled that Solanki et al 16 and Le‐Thanh and Ho‐Van 46 ignored the PS‐SD direct channel. We generalize the piecewise NLES model in Solanki et al 16 and Le‐Thanh and Ho‐Van 46 by taking into account the sensitivity of the ES, making the NLES model more practical. We analyze the primary and secondary outage probabilities for both the SC and the MRC while Solanki et al 16 and Le‐Thanh and Ho‐Van 46 only considered the SC. It is noted that there is a trade‐off between the performance and the complexity of the SC and the MRC.…”

Section: Introductionmentioning

confidence: 88%

“…Further, owing to the absence of the direct channel between PS and SD (similar to Solanki et al 16 ), SD only performs the SIC to decode the information of SS without using any signal combining technique (e.g., the SC) for enhancing further the performance of secondary communications. Moreover, similar to previous studies, 16,44,45 Le‐Thanh and Ho‐Van 46 solely considered a simple LES model without characterizing the sensitivity of the ES in the performance analysis.…”

Section: Introductionmentioning

confidence: 92%

“…Linear energy scavenging overlay networks (LESONs) were investigated extensively 27–43 . Nevertheless, few works focused on NLESONs 16,18,44–46 . To be more specific, Solanki et al 16 suggested a system model of NLESONs almost same as Figure 1 but with multiple PDs.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, all the publications in previous studies 16,18,44,45 investigated solely the uncomplicated (Nakagami‐

m

and Rayleigh) fading models and ignored shadowing in their works. Recently, Le‐Thanh and Ho‐Van 46 considered the system model with four users (PS, PD, SS, SD) as Figure 1. Notwithstanding, different from previous works, 16,18,44,45 Le‐Thanh and Ho‐Van 46 analyzed the OP for more generalized fading channels,

κ - μ

shadowed fading channels, under consideration of hardware imperfection.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Le‐Thanh and Ho‐Van 46 considered the system model with four users (PS, PD, SS, SD) as Figure 1. Notwithstanding, different from previous works, 16,18,44,45 Le‐Thanh and Ho‐Van 46 analyzed the OP for more generalized fading channels,

κ - μ

shadowed fading channels, under consideration of hardware imperfection. In Le‐Thanh and Ho‐Van, 46 SS operates either as a decode‐and‐forward (DF) relay or as an independent transmitter.…”

Section: Introductionmentioning

confidence: 99%

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Performance evaluation of nonlinear energy scavenging overlay networks

Le-Thanh

Ho-Van

2022

Int J Communication

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This paper investigates a nonlinear energy scavenging overlay network (NLESON) wherein a primary source (PS) communicates with a primary destination (PD) probably under aid of a secondary source (SS) who communicates with a secondary destination (SD). SS is a power-constrained device, and thence, its operation relies on energy harvested by a practical nonlinear energy scavenger. To support PS and exploit the harvested energy at most, SS adaptively switches between single and superposition modes where the single mode allows SS to transmit solely its signal with the entire harvested energy and the superposition mode asks SS to transmit both-its signal and amplified primary signal-with different power fractions. Moreover, for increasing the probability of successfully decoding primary signal at PD and SD, which then reduces considerably primary interference on secondary signal in the superposition mode, we leverage both direct channels (PS-PD and PS-SD) and apply both signal combining paradigms (maximum ratio combining and selection combining).The outage/throughput performance of the NLESON is assessed quickly through the proposed closed-form expressions over κ À μ shadowed fading channels. Various results exposed the effectiveness of the aforementioned solutions for the NLESON and their flexibility in controlling system performance. K E Y W O R D Samplify-and-forward, direct channel, feedback, nonlinear energy scavenging, overlay networks, shadowed fading and motivationsAdvanced communication networks (viz., and Fifth-Generation [5G]) serve a vast quantity of users and hence pressuring significantly communication infrastructure in supplying adequately bandwidth and power. [1][2][3][4] Such a circumstance stimulates researches on initiatives to utilize energy and spectrum efficiently.On one hand, the spectrum can be exploited efficiently with the cognitive radio technology, which enables secondary users (SUs) to opportunistically transmit on the spectrum of primary users (PUs). Toward this end, SUs can operate with underlay, overlay, and interweave paradigms. 5 In both the overlay and underlay paradigms, PUs and SUs operate simultaneously while in the interweave one, SUs operate only when PUs are idle. Nevertheless, the underlay and overlay paradigms are different in that the former controls the transmit power of SUs such that the interference they induce

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