Power allocation algorithm of full duplex cognitive relay network based on energy harvesting

Shibing ZHANG; Liuke HAN; Meijuan ZHANG

doi:10.11959/j.issn.1000-436x.2020168

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Power allocation algorithm of full duplex cognitive relay network based on energy harvesting

Papers | 更新时间：2024-06-05

- Power allocation algorithm of full duplex cognitive relay network based on energy harvesting
- Journal on Communications Vol. 41, Issue 9, Pages: 139-146(2020)
- 作者机构：
  
  南通大学信息科学技术学院，江苏南通 226019
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61871241);The National Natural Science Foundation of China(61771263)
- DOI：10.11959/j.issn.1000-436x.2020168
  CLC： TN925
- Online First：2020-09，
  
  Published：25 September 2020
- 稿件说明：
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Shibing ZHANG, Liuke HAN, Meijuan ZHANG. Power allocation algorithm of full duplex cognitive relay network based on energy harvesting[J]. Journal on Communications, 2020, 41(9): 139-146.
DOI：

Shibing ZHANG, Liuke HAN, Meijuan ZHANG. Power allocation algorithm of full duplex cognitive relay network based on energy harvesting[J]. Journal on Communications, 2020, 41(9): 139-146. DOI： 10.11959/j.issn.1000-436x.2020168.

摘要

为了缓解频谱资源匮乏、提高认知无线网络的功率利用率，提出了一种基于能量收集的全双工认知中继网络功率分配算法。所提算法在保证对主用户干扰以及中继端收集能量满足一定条件的情况下，优化能量受限的认知中继节点功率分配系数及次用户发射功率，实现了次用户系统吞吐量的最大化，提高了频谱效率。由于所提算法的优化问题是非凸的，因此将其转化为针对功率分配系数和次用户发射功率的2个可解凸优化子问题，通过收敛迭代算法求得原问题的最终解。仿真结果表明，采用所提算法的次用户系统吞吐量，与采用半双工功分算法的系统吞吐量相比提升了一倍，与采用全双工时分算法的系统吞吐量相比提升了0.5倍。

Abstract

To alleviate the shortage of spectrum resources and improve the power utilization of cognitive radio networks

a resource allocation algorithm of full duplex cognitive relay networks with energy harvesting was proposed.In the algorithm

the coefficient for power splitting of the relay and the transmit power of the secondary users were jointly optimized to maximize the throughput of the secondary users under the interference to primary users and energy harvesting constraints.Since the optimization of the algorithm was non-convex

it was transformed into two sub-optimizations

the sub-optimization of the coefficient for power splitting and the sub-optimization of the power transmitted of secondary users

which were the solvable convex sub-optimizations.Then

the final solution of the original optimization was obtained with the iterative algorithm.Simulation results show that the throughput of the proposed algorithm

can obtain 2 times throughput of the networks with half-duplex power splitting algorithm and 1.5 times throughput of the networks with full-duplex time switching algorithm.

关键词

Keywords

references

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