Multi-Dimensional Resource Optimization for Incremental AF-OFDM Systems With RF Energy Harvesting Relay

Zhang, Yang; Bai, Kaiyang; Pang, Lihua; Han, Ruiyu; Li, Yang; Liang, Shuang; Yingzi, Luan; Ren, Guangliang

doi:10.1109/tvt.2018.2882910

Cited by 11 publications

(6 citation statements)

References 27 publications

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“…Since the secrecy rate is a concave function of P i,S (cf. Proposition 1), depending on µ s , there exists a single positive root P r i,S of (21), which satisfies the source power constraint in (8). Since the secrecy rate over a subcarrier-pair reaches maximum when the P i,S equals to P i,S (cf.…”

Section: B Source Power Allocationmentioning

confidence: 96%

Secure Resource Allocation for Cooperative OFDMA System With Untrusted AF Relaying

Yi-feng

et al. 2021

IEEE Access

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Section: B Source Power Allocationmentioning

confidence: 96%

Secure Resource Allocation for Cooperative OFDMA System With Untrusted AF Relaying

Yi-feng

et al. 2021

IEEE Access

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“…As mentioned in the introduction section, researchers have proposed many advanced strategies to improve energy efficiency, such as the three-step design in [22], the transmission mode adaptation in [29], and the multi-dimensional resource optimization framework in [30]. However, these do not have applicability in the case of multiple relays having the ability to improve the system capacity and diversity gain [32].…”

Section: Review Conclusionmentioning

confidence: 99%

“…Ref. [30] considers an AF-OFDM relaying system with SWIPT, which jointly optimizes multiple resources to achieve higher system performance while reducing computational effort.…”

Section: Introductionmentioning

confidence: 99%

Joint Resource Optimization in Simultaneous Wireless Information and Power Transfer (SWIPT) Enabled Multi-Relay Internet of Things (IoT) System

Liu

et al. 2019

Sensors

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The internet of things (IoT) is becoming more indispensable in modern society as the further development and maturity of information technology progresses. However the exponential growth of IoT devices leads to severe energy consumption. As a technology with broad application prospects, simultaneous wireless information and power transfer (SWIPT) enables IoT devices to harvest energy from receiving radio frequency (RF) signals while ensuring information transmission. In this paper, we investigate the transmission rate optimization problem for a dual-hop multi-relay IoT system, where a decode-and-forward (DF) relay supports the SWIPT technique. We jointly optimize the resource including power and subcarrier allocation, to maximize the system transmission rate. The time-sharing strategy and Lagrange dual method are used to solve this optimization problem. Simulation results reveal that the proposed algorithm has a larger transmission rate than other benchmark algorithms when ensuring each relay has no additional energy supply. Specifically, the proposed algorithm improves the information transmission rate by 2.8%, 3.4% and 43% compared with other algorithms in the case of five relays when the source’s power is equal to 0.5 W, respectively.

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“…This urgently calls for new green communication technologies in IoT networks. Energy harvesting (EH) technology [1][2][3] has attracted enormous research attention in recent years. Unlike traditional EH technology, the simultaneous wireless information and power transfer (SWIPT) technology [4][5][6] uses radio frequency (RF) signals as the energy source to convert electromagnetic waves into electrical energy.…”

Section: Introductionmentioning

confidence: 99%

Achievable rate analysis and maximisation for the SWIPT‐based half‐duplex quantise‐and‐forward cooperation in IoT networks

et al. 2020

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To achieve reliable and green communication in the internet of things (IoT) networks, the authors extend the traditional half-duplex quantise-and-forward (QF) cooperation into the simultaneous wireless information and power transfer (SWIPT) regime. This study investigates the achievable rate of the SWIPT-based half-duplex QF cooperation with the channel state information available only at the receivers. The source and destination are provided by the external power supply and the relay simultaneously implements the information transmission and the energy harvesting by SWIPT technology with the powersplitting protocol. The achievable rate of the proposed system over the additive white Gaussian noise channels is analysed and further maximised by optimising the power-splitting factor. Furthermore, the expected rate of the proposed system over the slowfading channels is analysed. Theoretical analysis and simulation results show that the achievable rate or expected rate of the SWIPT-based QF cooperation is obviously superior to that of the SWIPT-based amplify-and-forward or SWIPT-based decodeand-forward cooperation. Meanwhile, the SWIPT-based QF cooperation can achieve similar performance to the traditional QF cooperation when the external power supply at the relay is not provided.

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Multi-Dimensional Resource Optimization for Incremental AF-OFDM Systems With RF Energy Harvesting Relay

Cited by 11 publications

References 27 publications

Secure Resource Allocation for Cooperative OFDMA System With Untrusted AF Relaying

Secure Resource Allocation for Cooperative OFDMA System With Untrusted AF Relaying

Joint Resource Optimization in Simultaneous Wireless Information and Power Transfer (SWIPT) Enabled Multi-Relay Internet of Things (IoT) System

Achievable rate analysis and maximisation for the SWIPT‐based half‐duplex quantise‐and‐forward cooperation in IoT networks

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