Optimal Power Splitting in Two-Way Decode-and-Forward Relay Networks

Peng, Chunling; Li, Fangwei; Liu, Huaping

doi:10.1109/lcomm.2017.2671363

Cited by 63 publications

(17 citation statements)

References 13 publications

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“…, where g 1 and g 2 represent the Rayleigh fading following distribution with zero mean and unit variance [40], [41]. The notations d 1R and d 2R denote the distances between S 1 − R k and S 2 − R k , respectively.…”

Section: Network Modelmentioning

confidence: 99%

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks

Zeng

Xiao

et al. 2019

IEEE Access

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For years, relay communications have been witnessed to extend the network coverage and improve the throughput and reliability of wireless systems. In this paper, we focus on throughput maximization for the two-way buffer-aided relay network with finite data buffers and limited energy battery, wherein relays have no fixed power supply and they replenish energy from the Radio Frequency (RF) signal radiated by source nodes. Specifically, by jointing the time switching and energy splitting for RF energy harvesting, we introduce a three time-subslot transmission model to balance the energy storage and the energy consumption for communication. On top of this transmission model, we formulate an optimization problem for throughput maximization of relay network. We purposely convert the non-convex optimization problem into a convex one by carefully decoupling and relaxing. Further, we theoretically derive the maximum throughput and apply an iterative algorithm to achieve the suboptimal solution based on relay selection and power allocation. In addition to solving the no-delay limited throughput maximization problem, we put forward the solution of the delay limited transmission in the two-way buffer-aided multi-relay networks. Extensive simulations have been conducted to demonstrate that our proposed strategy is able to significantly improve the sum-throughput under transmission energy and delay constraints. INDEX TERMS Two-way relay networks, buffer-aided, energy harvesting, dual optimization.

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Section: Network Modelmentioning

confidence: 99%

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks

Zeng

Xiao

et al. 2019

IEEE Access

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“…Assuming perfect knowledge of the channel state information (CSI), the terminals S 1 and S 2 can remove the self interference by eliminating their own signals (i.e. x 1,b at S 1 and x 2,b at S 2 ) [37], [38]. Note that CSI estimation can be perfectly known at the terminals using training-based channel estimation [39]- [41].…”

Section: A Data Rate Expressionmentioning

confidence: 99%

Optimization of a Power Splitting Protocol for Two-Way Multiple Energy Harvesting Relay System

Alsharoa

Ghazzai

Kamal

et al. 2017

IEEE Trans. on Green Commun. Netw.

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Energy harvesting (EH) combined with cooperative communications constitutes a promising solution for future wireless technologies. They enable additional efficiency and increased lifetime to wireless networks. This paper investigates a multiplerelay selection scheme for an EH-based two-way relaying (TWR) system. All relays are considered as EH nodes that harvest energy from renewable energy and radio frequency (RF) sources. Some of them are selected to forward data to the destinations. The power splitting (PS) protocol, by which the EH node splits the input RF signal into two components for EH and information transmission, is adopted at the relay nodes. The objective is to jointly optimize i) the set of selected relays, ii) their PS ratios, and iii) their transmit power levels in order to maximize data rate-based utilities over multiple coherent time slots. A jointoptimization solution based on geometric programming (GP) and binary particle swarm optimization is proposed to solve nonconvex problems for two utility functions reflecting the level of fairness in the TWR transmission. Numerical results illustrate the system's behavior versus various parameters and show that the performance of the proposed scheme is very close to that of the optimal branch-and-bound method and that GP outperforms the dual problem-based method.

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“…Moreover, refs. [22][23][24] extended previous works by investigating multiple EH relays in both amplify-and-forward (AF) and decode-and-forward (DF) protocols. After that, refs.…”

Section: Of 15mentioning

confidence: 90%

Multisource Power Splitting Energy Harvesting Relaying Network in Half-Duplex System over Block Rayleigh Fading Channel: System Performance Analysis

et al. 2019

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Energy harvesting and information transferring simultaneously by radio frequency (RF) is considered as the novel solution for green-energy wireless communications. From that point of view, the system performance (SP) analysis of multisource power splitting (PS) energy harvesting (EH) relaying network (RN) over block Rayleigh-fading channels is presented and investigated. We investigate the system in both delay-tolerant transmission (DTT), and delay-limited transmission (DLT) modes and devices work in the half-duplex (HD) system. In this model system, the closed-form (CF) expressions for the outage probability (OP), system throughput (ST) in DLT mode and for ergodic capacity (EC) for DTT mode are analyzed and derived, respectively. Furthermore, CF expression for the symbol errors ratio (SER) is demonstrated. Then, the optimal PS factor is investigated. Finally, a Monte Carlo simulation is used for validating the analytical expressions concerning with all system parameters (SP).

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Optimal Power Splitting in Two-Way Decode-and-Forward Relay Networks

Cited by 63 publications

References 13 publications

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks

Optimization of a Power Splitting Protocol for Two-Way Multiple Energy Harvesting Relay System

Multisource Power Splitting Energy Harvesting Relaying Network in Half-Duplex System over Block Rayleigh Fading Channel: System Performance Analysis

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