Power Splitting-Based SWIPT With Decode-and-Forward Full-Duplex Relaying

Liu, Hongwu; Kim, Kyeong Jin; Kwak, Kyung Sup; Poor, H. Vincent

doi:10.1109/twc.2016.2604801

Cited by 132 publications

(109 citation statements)

References 38 publications

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“…These splitting methods are investigated in cooperative networks with one-way relaying (OWR) protocols [11,[16][17][18][19]24,26] and with two-way relaying (TWR) protocols [12,13,15,23,25]. Here, amplify-and-forward (AF) relays are adopted in [11][12][13]15,24] for a lower complexity with the simple relay operation amplifying the received signal without information decoding, while decode-and-forward (DF) relays are adopted in [16][17][18][19]23,25] for a better performance with the complicated relay operation regenerating the relay signal after decoding the received signal.…”

Section: Related Workmentioning

confidence: 99%

“…The performance of the PS-SWIPT for the OWR protocol is also studied with a full-duplex DF relay [19] and with the AF relay when the direct link is available [24]. In addition, the optimization of the SWIPT parameters is also studied for the OWR with a DF relay by using statistical information [18].…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, the constraints (18) and (19) are convex so that there exists a unique θ † which maximizes R 1 + R 2 .…”

Section: Resource Allocation For the Ps-swiptmentioning

confidence: 99%

“…In particular, various relaying protocols have been rebuilt to support energy harvesting devices in cooperative networks [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26], where relays can be categorized into either energy harvesting nodes or energy transmission nodes. Energy harvesting relays are as low in complexity as communicating devices and harvest the energy in helping the data exchange of the devices in general [11][12][13][14][15][16][17][18][19][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

“…Energy harvesting relays are as low in complexity as communicating devices and harvest the energy in helping the data exchange of the devices in general [11][12][13][14][15][16][17][18][19][23][24][25][26]. On the other hand, energy transmission relays are as highly complex as base stations so that the relays transfer the power and information to the communicating devices [20][21][22]; the relays even employ massive antennas to leverage the efficiency in the power and information transfer at a high cost in implementation [27,28].…”

Section: Introductionmentioning

confidence: 99%

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Rate Optimization of Two-Way Relaying with Wireless Information and Power Transfer

2017

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Abstract:We consider the simultaneous wireless information and power transfer in two-phase decode-and-forward two-way relaying networks, where a relay harvests the energy from the signal to be relayed through either power splitting or time splitting. Here, we formulate the resource allocation problems optimizing the time-phase and signal splitting ratios to maximize the sum rate of the two communicating devices. The joint optimization problems are shown to be convex for both the power splitting and time splitting approaches after some transformation if required to be solvable with an existing solver. To lower the computational complexity, we also present the suboptimal methods optimizing the splitting ratio for the fixed time-phase and derive a closed-form solution for the suboptimal method based on the power splitting. The results demonstrate that the power splitting approaches outperform their time splitting counterparts and the suboptimal power splitting approach provides a performance close to the optimal one while reducing the complexity significantly.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Therefore, the constraints (18) and (19) are convex so that there exists a unique θ † which maximizes R 1 + R 2 .…”

Section: Resource Allocation For the Ps-swiptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rate Optimization of Two-Way Relaying with Wireless Information and Power Transfer

2017

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Optimal precoders and power splitting factors in multiuser multiple‐input multiple‐output cognitive decode‐and‐forward relay systems with wireless energy harvesting

Kha

2021

Int J Communication

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This paper considers an underlay cognitive radio (CR) wireless network with the assistance of a two-hop decode-and-forward (DF) relay node. Different from the conventional CR relay networks, in this paper, the relay node using power-splitting (PS) techniques harvests wireless energy transmitted from the secondary base station (SBS) and, then, uses its harvested energy to forward the received signals to multiple secondary receive users (SRUs). Due to the highly mutual dependence of the transmission strategies at nodes on the system performance, the optimal design of signal processing at transceivers to efficiently handle the interference and energy constraints is crucial. This paper studies the jointly optimal design of the precoders, PS factors to maximize the minimum user rate under the transmit power, harvested energy, and interference power constraints. Owing to the nonlinearly and mutually coupled design matrix variables in both objective function and constraints, the joint design of the precoders and PS factors for the concerned problem is mathematically challenging. To tackle these difficulties, we devise the appropriate surrogate functions to recast the nonconvex optimization problem into the convex one.By using the minorization-maximization framework, an efficient iterative algorithm with provable convergence is developed by solving the convex optimization problem in each iteration. Numerical results are provided to evaluate the achievable user rate performance of the considered system and investigate the effects of the interference power thresholds at the primary receive users and the number of antennas at the SBS and the relay on the minimum achievable user rate. K E Y W O R D S cognitive radio, MIMO users, relay networks, simultaneously wireless information and power transfer (SWIPT) 1 | INTRODUCTION Cognitive radio (CR) has been recognized as an effective means to deal with the spectrum scarcity for the next generation of wireless communications. In underlay CR approaches, secondary users (SUs) can communicate at the same time

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Introduction

Fu,

Liu,

et al. 2024

Wireless Networks

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Power Splitting-Based SWIPT With Decode-and-Forward Full-Duplex Relaying

Cited by 132 publications

References 38 publications

Rate Optimization of Two-Way Relaying with Wireless Information and Power Transfer

Rate Optimization of Two-Way Relaying with Wireless Information and Power Transfer

Optimal precoders and power splitting factors in multiuser multiple‐input multiple‐output cognitive decode‐and‐forward relay systems with wireless energy harvesting

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