Beamforming design for energy-constrained full-duplex two-way relaying system

Wei WANG; Liyuan AN; Guoan ZHANG; Shibing ZHANG

doi:10.11959/j.issn.1000-436x.2018023

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Beamforming design for energy-constrained full-duplex two-way relaying system

Papers | 更新时间：2024-06-05

- Beamforming design for energy-constrained full-duplex two-way relaying system
- Journal on Communications Vol. 39, Issue 2, Pages: 43-52(2018)
- 作者机构：
  
  1. 南通大学电子信息学院，江苏南通 226019
  2. 南通先进通信技术研究院，江苏南通 226019
  3. 南通大学通科微电子学院，江苏南通 226019
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2018023
  CLC： TN925
- Online First：2018-02，
  
  Published：25 February 2018
- 稿件说明：
移动端阅览
Wei WANG, Liyuan AN, Guoan ZHANG, et al. Beamforming design for energy-constrained full-duplex two-way relaying system[J]. Journal on Communications, 2018, 39(2): 43-52.
DOI：

Wei WANG, Liyuan AN, Guoan ZHANG, et al. Beamforming design for energy-constrained full-duplex two-way relaying system[J]. Journal on Communications, 2018, 39(2): 43-52. DOI： 10.11959/j.issn.1000-436x.2018023.

摘要

提出了一种基于无线信息与能量同时传输的波束成形设计方案。该方案在满足源节点信干噪比和中继传输功率等约束条件下，通过联合优化波束成形向量、功分因子和发射功率等参数实现能量收集的最大化。此设计是一个非凸的优化问题，为了有效求解该问题，采用分步优化方法将原问题分解成3个子问题。提出利用半定松弛技术和约束激活准则分别求解3个子问题，并通过收敛迭代算法求得原问题的次优解。仿真结果表明，所提联合优化算法相比预编码、资源分配算法具有更好的性能，且与传统的半双工算法相比，在计算复杂度略增的前提下其能量收集效率可提升2~3倍。

Abstract

A beamforming design was proposed under simultaneous wireless information and power transfer (SWIPT) protocol.A utility optimization problem was considered aiming to maximize the harvested energy by jointly optimizing the beamforming matrix

the power splitting ratio at the relay and the transmit powers at the sources.Since the formulated joint optimization problem was nonconvex

it was difficult or even intractable to obtain the global optimal solution.To overcome this issue

the objective problem into three subproblems was decoupled which could be solved by the proposed semidefinite relaxation technique and the derived constraints activation solution

respectively.The solution was finally obtained with the proposed convergent iterative algorithm.Simulation results show that the proposed joint optimization scheme achieves the optimal performance.Compared with the traditional half-duplex (HD) algorithm

the proposed algorithm can obtain 2~3 times energy harvesting (EH) efficiency improvement

while the computational complexity increases slightly.

关键词

Keywords

references

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