Resource optimization for UAV relay networks based on physical-layer network coding

Junyi YANG; Bo LI; Qinyu ZHANG

doi:10.11959/j.issn.1000-436x.2021172

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Resource optimization for UAV relay networks based on physical-layer network coding

Papers | 更新时间：2024-06-05

- Resource optimization for UAV relay networks based on physical-layer network coding
- Journal on Communications Vol. 42, Issue 9, Pages: 12-20(2021)
- 作者机构：
  
  1. 哈尔滨工业大学（深圳）电子与信息工程学院，广东深圳 518055
  2. 哈尔滨工业大学（威海）信息科学与工程学院，山东威海 264209
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61831008);The National Natural Science Foundation of China(62171154);The Research Fund Program of Guangdong Key Laboratory of Aerospace Communication and Networking Technology(2018B030322004)
- DOI：10.11959/j.issn.1000-436x.2021172
  CLC： TN929.5
- Online First：2021-09，
  
  Published：25 September 2021
- 稿件说明：
移动端阅览
Junyi YANG, Bo LI, Qinyu ZHANG. Resource optimization for UAV relay networks based on physical-layer network coding[J]. Journal on Communications, 2021, 42(9): 12-20.
DOI：

Junyi YANG, Bo LI, Qinyu ZHANG. Resource optimization for UAV relay networks based on physical-layer network coding[J]. Journal on Communications, 2021, 42(9): 12-20. DOI： 10.11959/j.issn.1000-436x.2021172.

摘要

为了解决以无人机作为中继的传统双向通信网资源利用率低的问题，提出了一种基于物理层网络编码的资源优化算法。考虑无人机中继通信网的传输功率约束、无人机最大速度约束和物理层网络编码的同步性需求，建立了联合优化传输功率和无人机轨迹设计的资源分配模型以达到最小化系统中断概率的目的。通过将原非凸问题解耦为2个子问题，并基于KKT条件、拉格朗日对偶法和次梯度法提出了一种迭代算法，实现轨迹设计和最佳系统功率分配的联合优化。仿真结果表明，所提算法可以显著提高系统性能，降低通信中断的可能性。

Abstract

To solve the problem of low resource utilization of the traditional two-way communication network with unmanned aerial vehicle (UAV) as relays

a resource optimization algorithm based on physical-layer network coding was proposed.Considering the transmission power constraints of the UAV relay communication network

the maximum speed constraints of the UAV and the synchronization requirements of the physical-layer network coding

a resource allocation model for joint optimization of transmission power and UAV trajectory design was formulated to minimize the system outage probability.By decoupling the original non-convex problem into two sub-problems

an iterative algorithm was proposed to realize the joint implementation of optimal trajectory design and optimal system power distribution based on the Karush-Kuhn-Tucker (KKT) conditions

Lagrangian duality method and subgradient method.Simulation results show that the proposed algorithm can significantly improve the system performance and reduce the possibility of communication interruption.

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references

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