无人机辅助边缘计算中安全通信与能效优化策略

doi:10.11959/j.issn.1000-436x.2023032

通信学报 ›› 2023, Vol. 44 ›› Issue (3): 45-54.doi: 10.11959/j.issn.1000-436x.2023032

无人机辅助边缘计算中安全通信与能效优化策略

余雪勇¹^,², 邱礼翔¹^,², 宋家宁¹^,², 朱洪波¹^,²

¹ 南京邮电大学通信与信息工程学院，江苏南京 210003
² 南京邮电大学江苏省无线通信重点实验室，江苏南京 210003

修回日期:2023-01-04 出版日期:2023-03-25 发布日期:2023-03-01
作者简介:余雪勇（1979− ），男，江西南昌人，博士，南京邮电大学副教授、硕士生导师，主要研究方向为物联网技术、移动边缘计算和异构无线网络资源管理
邱礼翔（1997− ），男，河南信阳人，南京邮电大学硕士生，主要研究方向为边缘计算与无人机安全通信
宋家宁（1999− ），女，河南焦作人，南京邮电大学硕士生，主要研究方向为移动边缘计算、智能反射面通信技术
朱洪波（1956− ），男，江苏扬州人，博士，南京邮电大学教授、博士生导师，主要研究方向为物联网与无线通信、宽带移动通信、无线通信与电磁兼容等
基金资助:
国家自然科学基金资助项目(92067201);江苏省重点研发计划基金资助项目(BE2020084-4)

Security communication and energy efficiency optimization strategy in UAV-aided edge computing

Xueyong YU¹^,², Lixiang QIU¹^,², Jianing SONG¹^,², Hongbo ZHU¹^,²

¹ College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
² Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Revised:2023-01-04 Online:2023-03-25 Published:2023-03-01
Supported by:
The National Natural Science Foundation of China(92067201);The Jiangsu Provincial Key Research and Development Program(BE2020084-4)

摘要/Abstract

摘要：

无人机的灵活移动性在移动边缘计算系统中引起了广泛的关注。然而，空中窃听者的存在使它的安全传输仍然面对巨大的挑战。为了解决高安全通信速率与低能耗之间的矛盾，引入安全通信能效这一概念，即无人机安全通信传输速率与无人机能耗之间的比值。首先，在满足给定任务时延、无人机的 CPU 计算频率以及任务卸载率的约束下，提出一种最大化安全通信能效的卸载策略，即联合优化合法无人机悬停位置、CPU计算频率分配以及区分计算任务复杂度的卸载策略；同时从物理层安全角度提升了无人机-移动边缘计算场景下的安全通信。其次，由于该策略是一个复杂的非凸问题，将其解耦为3个子问题，通过块坐标下降法与连续凸逼近（SCA）相结合的全局优化算法来求解该非凸问题。仿真结果表明，针对不同任务复杂度的系统，所提策略都能在满足地面终端卸载需求的同时，平衡整体的通信安全性能和能耗之间的关系，并提高安全通信能效。

关键词: 移动边缘计算, 无人机安全通信, 能耗优化, 资源分配, 位置优化

Abstract:

The flexible mobility of the unmanned aerial vehicle (UAV) has attracted widespread attention in the mobile edge computing (MEC) system.However, the existence of eavesdroppers in the air makes it a huge challenge for its secure transmission.In order to solve the contradiction between high safe communication rate and low energy consumption, the concept of security communication energy efficiency was introduced, that was, the ratio between UAV safe communication transmission rate and UAV energy consumption.Firstly, to subject the task delay constraint, limited UAV CPU frequency and task offloading rate constraint, an offloading strategy was proposed to maximize the energy efficiency of secure communication by jointly optimizing the legal UAV hover location, CPU frequency allocation and distinguishing the complexity of computing tasks, while improving the security communication in the UAV-MEC scenario from the perspective of physical layer security.Secondly, to address the non-convex optimization problem, it was decomposed into three sub-problems that were solved with block coordinate descent and the successive convex approximation (SCA) methods respectively.The simulation results show that, with different task complexity, the proposed strategy can balance the relationship between the overall secure communication performance and energy consumption, while meeting the offloading requirements of ground terminals.And then it improves secrecy energy efficiency.

Key words: mobile edge computing, UAV secure communication, energy consumption optimization, resource allocation, location optimizing

中图分类号:

TN929.5

余雪勇, 邱礼翔, 宋家宁, 朱洪波. 无人机辅助边缘计算中安全通信与能效优化策略[J]. 通信学报, 2023, 44(3): 45-54.

Xueyong YU, Lixiang QIU, Jianing SONG, Hongbo ZHU. Security communication and energy efficiency optimization strategy in UAV-aided edge computing[J]. Journal on Communications, 2023, 44(3): 45-54.

图/表 8

图1

表1

仿真参数"

参数	数值	参数	数值
B/MHz	1	$δ^{2} / dBm$	–110
β₁	10^–5	β₂	10^–4
$ϵ$	10^–27	γ	10^–11
$p_{jam} / W$	0.2	$p_{i} / W$	10^–2
$f_{max}^{UAV} / MHz$	2 000	$p_{u} / W$	0.2

表1

图2

图3

图4

图5

图6

图7

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无人机辅助边缘计算中安全通信与能效优化策略

Security communication and energy efficiency optimization strategy in UAV-aided edge computing

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