基于物理层网络编码的无人机中继网络资源优化

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

通信学报 ›› 2021, Vol. 42 ›› Issue (9): 12-20.doi: 10.11959/j.issn.1000-436x.2021172

基于物理层网络编码的无人机中继网络资源优化

杨君一¹, 李博², 张钦宇¹

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

修回日期:2021-05-31 出版日期:2021-09-25 发布日期:2021-09-01
作者简介:杨君一（1996− ），男，湖北十堰人，哈尔滨工业大学（深圳）博士生，主要研究方向为卫星通信、光电混合路由、通信资源优化
李博（1983− ），男，河北廊坊人，博士，哈尔滨工业大学（威海）副教授、博士生导师，主要研究方向为无人机通信、陆海空天一体化网络等
张钦宇（1972− ），男，江苏扬州人，博士，哈尔滨工业大学（深圳）教授、博士生导师，主要研究方向为空间通信、无线通信、无线通信网络等
基金资助:
国家自然科学基金资助项目(61831008);国家自然科学基金资助项目(62171154);广东省空天通信与网络技术重点实验室开放基金资助项目(2018B030322004)

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

Junyi YANG¹, Bo LI², Qinyu ZHANG¹

¹ School of Electrical and Information Engineering, Harbin Institute of Technology, Shenzhen 518055, China
² School of Information Science and Technology, Harbin Institute of Technology, Weihai 264209, China

Revised:2021-05-31 Online:2021-09-25 Published:2021-09-01
Supported by:
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)

摘要/Abstract

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。

关键词: 无人机中继通信, 物理层网络编码, 中断概率, 功率分配, 轨迹优化

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.

Key words: UAV relay communication, physical-layer network coding, outage probability, power allocation, trajectory optimization

中图分类号:

TN929.5

杨君一, 李博, 张钦宇. 基于物理层网络编码的无人机中继网络资源优化[J]. 通信学报, 2021, 42(9): 12-20.

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.

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P_max/dBm	UAV位置/m	UAV功率/dBm	S ₁/S ₂功率/dBm
20	207.11	17.47	13.45
23	211.16	20.30	16.64
26	207.44	23.46	19.46
29	216.93	26.02	22.94
32	248.11	27.47	27.10

基于物理层网络编码的无人机中继网络资源优化

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

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