Dynamic Power Splitting Schemes for Non-Linear EH Relaying Networks: Perfect and Imperfect CSI

2017 ◽  
Author(s):  
Kaipeng Wang ◽  
Yongzhao Li ◽  
Yinghui Ye ◽  
Hailin Zhang
Keyword(s):  
Power Splitting ◽  
Imperfect Csi ◽  
Splitting Schemes ◽  
Dynamic Power ◽  
Non Linear ◽  
Relaying Networks

On the performance of wireless-powered cooperative DF relaying networks with imperfect CSI

2018 ◽  
Vol 15 (11) ◽  
pp. 79-92 ◽  
Author(s):  
Shuai Liu ◽  
Zujun Liu ◽  
Dechun Sun ◽  
Hong Yang ◽  
Kechu Yi ◽  
...  
Keyword(s):  
Imperfect Csi ◽  
Relaying Networks

scholarly journals Random Access-Based Reliable Uplink Communication and Power Transfer Using Dynamic Power Splitting

2020 ◽  
Vol 19 (6) ◽  
pp. 4307-4320 ◽  
Author(s):  
Steven Kisseleff ◽  
Symeon Chatzinotas ◽  
Bjorn Ottersten
Keyword(s):  
Random Access ◽  
Power Splitting ◽  
Power Transfer ◽  
Dynamic Power

scholarly journals Optimizing a Secure Two-Way Network with Non-Linear SWIPT, Channel Uncertainty, and a Hidden Eavesdropper

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1222
Author(s):  
Pham Viet Tuan ◽  
Pham Ngoc Son ◽  
Tran Trung Duy ◽  
Sang Quang Nguyen ◽  
Van Quang Binh Ngo ◽  
...  
Keyword(s):  
Base Stations ◽  
Artificial Noise ◽  
Power Splitting ◽  
Transmission Power ◽  
Channel State ◽  
Downlink Beamforming ◽  
Non Linear ◽  
Channel Information ◽  
Downlink Channels

In this paper, the optimization of downlink beamforming vectors, uplink transmission power, and power-splitting factors is investigated for a secure two-way SWIPT network in the presence of a hidden eavesdropper and non-linear energy harvesting circuits over both perfect and imperfect channels. The eavesdropper is inactive, so its channel information is not available at the base stations (BSs). The purpose of artificial noise is to create downlink interference with the hidden eavesdropper as much as possible, while satisfying the quality of service for two-way communications. For perfect downlink channels, the semidefinite relaxation (SDR) technique is exploited, and the optimal matrices are proven to satisfy rank-1 conditions, thus providing the optimal beamforming vectors. For imperfect downlink channel state information, we propose an iterative algorithm with a penalty function to obtain the approximate rank-1 matrices. On uplink, we attain the optimal transmission power for users receiving maximum ratio transmission beamforming at the BSs. Eventually, the numerical experiments show the superiority of the proposed scheme, compared to a conventional scheme, in terms of signal-to-interference-plus-noise ratio at the eavesdropper.

scholarly journals Dynamic Power Splitting Strategy for SWIPT Based Two-Way Multiplicative AF Relay Networks with Nonlinear Energy Harvesting Model

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Tianci Wang ◽  
Guangyue Lu ◽  
Yinghui Ye ◽  
Yuan Ren
Keyword(s):  
Energy Harvesting ◽  
Iterative Method ◽  
Relay Network ◽  
Power Splitting ◽  
Amplify And Forward ◽  
Channel State ◽  
Dynamic Power ◽  
Energy Constrained ◽  
Af Relay ◽  
Nonlinear Energy

This paper investigates an energy-constrained two-way multiplicative amplify-and-forward (AF) relay network, where a practical nonlinear energy harvesting (NLEH) model is equipped at the relay to realize simultaneous wireless information and power transfer (SWIPT). We focus on the design of dynamic power splitting (DPS) strategy, in which the PS ratio is able to adjust itself according to the instantaneous channel state information (CSI). Specifically, we first formulate an optimization problem to maximize the outage throughput, subject to the NLEH. Since this formulated problem is nonconvex and difficult to solve, we further transfer it into an equivalent problem and develop a Dinkelbach iterative method to obtain the corresponding solution. Numerical results are given to verify the quick convergence of the proposed iterative method and show the superior outage throughput of the designed DPS strategy by comparing with two peer strategies designed for the linear energy harvesting (LEH) model.

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