基于TD3算法的SWIPT无人机- ris辅助MIMO通信

IF 7.1 2区计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Vehicular Technology Pub Date : 2024-12-23 DOI:10.1109/TVT.2024.3521000

Annisa Anggun Puspitasari;Byung Moo Lee

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引用次数: 0

摘要

配备可重构智能表面（RIS）的无人机（UAV）在难以进入的区域提供了一些额外条件，但无人机有限的电池寿命是一个需要解决的问题。本研究提出了一种新的方案，该方案结合了无人机轨迹的最近邻搜索（NNS）方法和同步无线信息和能量传输（SWIPT）模型，该模型将RIS的被动反射元素在几何空间中分离，以同时转发信息和收集能量。然而，用户的移动性和不断变化的信道条件对实现最佳无线系统提出了挑战。为了解决这些问题，本研究采用了一种基于双延迟深度确定性策略梯度（TD3）的算法来增强所提出的SWIPT模型，同时保证QoS。仿真结果表明，在无人机- ris辅助下，提出的基于td3的稳健SWIPT模型在MIMO通信中的有效性。与现有的解决方案相比，所提出的模型表现出了优越的性能。结果表明，该模型实现了70%的能源效率，并将系统容量提高了56.3%。

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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TD3 Algorithm-Based SWIPT With UAV-RIS Assistance for MIMO Communication

Unmanned aerial vehicles (UAVs) equipped with reconfigurable intelligent surfaces (RIS) provide several perquisites in inaccessible regions, yet the limited battery life of the UAV is a concern that needs to be addressed. This study suggests a new scheme that combines the nearest neighbor search (NNS) method for UAV trajectories and a simultaneous wireless information and power transfer (SWIPT) model that splits the passive reflecting elements of the RIS in the geometric space to forward information and harvest energy concurrently. Nonetheless, users' mobility and ever-changing channel conditions pose a challenge in achieving an optimal wireless system. To tackle these issues, this study employs a twin delayed deep deterministic policy gradient (TD3)-based algorithm to enhance the proposed SWIPT model while ensuring the QoS. Simulation results illustrate the efficiency of the proposed robust TD3-based SWIPT model with UAV-RIS assistance implemented in MIMO communication. The proposed model has demonstrated superior performance in comparison to existing solutions. The results show that the model achieves a 70% energy efficiency and improves the system's capacity by up to 56.3%.

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来源期刊

IEEE Transactions on Vehicular Technology 工程技术-电信学

CiteScore

6.00

自引率

8.80%

发文量

1245

审稿时长

6.3 months

期刊介绍： The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.