Energy Efficiency Maximization for UAV-Assisted Full-Duplex Communication in the Presence of Multiple Malicious Jammers

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Systems Journal Pub Date : 2024-04-30 DOI:10.1109/JSYST.2024.3390554

Zhiyu Huang;Zhichao Sheng;Ali A. Nasir;Hongwen Yu

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Abstract

A full-duplex unmanned aerial vehicle (UAV)-based communication network is investigated, where the UAV is dispatched to transmit information to multiple downlink users (DLUs) and receive signal from uplink users (ULUs) simultaneously in the existence of malicious jammers. Considering the limited battery power of the UAV and the quality of service required, 3-D trajectory, DLUs scheduling, ULUs scheduling, and uplink/downlink transmit power allocation are jointly optimized to maximize the energy efficiency of the network. However, the formulated optimization problem with high coupling variables and fractional objective function is nonconvex and therefore mathematically intractable. To address the problem, the BCD method is implemented to decompose the optimization problem into four independent subproblems. An iterative algorithm based on Dinkelbach's algorithm and successive convex approximation technique is developed to solve the problem efficiently. Numerical simulation results are presented to evaluate the performance of different schemes and demonstrate the advantages of the proposed algorithm.

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存在多个恶意干扰器时无人机辅助全双工通信的能效最大化

研究了一种基于无人飞行器（UAV）的全双工通信网络，在该网络中，无人飞行器被派遣同时向多个下行链路用户（DLUs）发送信息，并接收来自上行链路用户（ULUs）的信号，以应对恶意干扰。考虑到无人机有限的电池电量和对服务质量的要求，对三维轨迹、下行用户调度、上行用户调度和上行/下行发射功率分配进行了联合优化，以最大限度地提高网络的能效。然而，所制定的优化问题具有高耦合变量和分数目标函数，是非凸的，因此在数学上难以解决。为解决这一问题，采用 BCD 方法将优化问题分解为四个独立的子问题。基于 Dinkelbach 算法和连续凸近似技术开发了一种迭代算法，以高效解决该问题。文中给出了数值模拟结果，以评估不同方案的性能，并证明所提算法的优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Systems Journal 工程技术-电信学

CiteScore

9.80

自引率

6.80%

发文量

572

审稿时长

4.9 months

期刊介绍： This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.