Maximizing energy-efficiency for RIS-UAV assisted mobile vehicles in cognitive networks

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhen Wang , Jiajin Wen , Meng Zhao , Lisu Yu , Jiahong He , Dali Hu
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引用次数: 0

Abstract

As an essential technology in the sixth generation of wireless communication, the reconfigurable intelligent surface (RIS) offers transformative solutions for the evolution of intelligent transportation. In the secondary network, RIS is equipped on an unmanned aerial vehicle (UAV) to establish a communication link between secondary base station (SBS) and secondary mobile vehicles (SMVs). At the same time, the communication within the secondary network must not interfere with the primary users (PUs) in the primary network. To achieve the optimal energy efficiency, we need to optimize the RIS passive beamforming, SMVs communication scheduling, SBS radiation power allocation and RIS-UAV trajectory. Since the original problem is difficult to solve, we use an alternating iteration framework to decompose the original problem into four subproblems and solve them with successive convex approximations (SCA). We have developed the CEEM scheme to compare it with benchmark schemes and demonstrate its superior performance, achieving up to a 43.48% improvement. In addition, RIS improves the communication quality by up to 57.53% in the simulation results, which have verified the correctness and effectiveness of the algorithm proposed in this paper.

认知网络中 RIS-UAV 辅助移动车辆的能效最大化
作为第六代无线通信的重要技术,可重构智能表面(RIS)为智能交通的发展提供了变革性的解决方案。在二级网络中,RIS 装备在无人驾驶飞行器(UAV)上,在二级基站(SBS)和二级移动车辆(SMV)之间建立通信链路。同时,二级网络内的通信不得干扰一级网络中的一级用户(PUs)。为了实现最佳能效,我们需要优化 RIS 的无源波束成形、SMV 的通信调度、SBS 的辐射功率分配和 RIS-UAV 的轨迹。由于原始问题难以解决,我们采用交替迭代框架将原始问题分解为四个子问题,并用连续凸近似(SCA)方法求解。我们开发了 CEEM 方案,并将其与基准方案进行比较,结果表明其性能优越,最多可提高 43.48%。此外,在仿真结果中,RIS 对通信质量的改善高达 57.53%,验证了本文所提算法的正确性和有效性。
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
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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