In this study, a reconfigurable intelligent surface (RIS)-assisted wireless-powered mobile edge computing (WP-MEC) system is proposed, where a single-anten... J Kim,E Hong,J Jung,... - Drones (2504-446X) 被引量: 0发表: 2023年 Interpretable and Secure Trajectory Optimization for UAV-Assi...
Energy-Efficient Symbiotic UAV-Enabled MEC Networks via RIS: Joint Trajectory and Phase-Shift Control Optimization Unmanned Aerial Vehicles (UAVs) can be employed as short-term aerial base stations or as access points for User E...
In particular, this system consists of a power station, a UAV, and two access points, each of which has an MEC server and a STAR RIS installed within the building. The power station can transfer wireless power to the UAV via RF waves. A UAV user can apply the non-orthogonal multiple ...
为了应对智能反射面(RIS)辅助的无人机(UAV)在物联网数据收集过程中能量高效利用与信息收集时效性之间的均衡问题,该文提出一种基于深度强化学习的数据收集优化策略.针... 张涛,张迁,朱颖雯,... - 《电子与信息学报》 被引量: 0发表: 2025年 激光供能无人机集群充电策略研究 在复杂的环境中,单个无人机(UAV...
Joint Optimization of Resource Allocation, Phase Shift and UAV Trajectory for Energy-Efficient RIS-Assisted UAV-Enabled MEC Systems UAV-enabled MEC systems, where the bit allocation, transmit power, phase shift, and UAV trajectory are jointly optimized by an iterative algorithm with a... X Qin,Z...
UAV-RIS-MEC附python代码.zip 1.版本:matlab2014/2019a/2021a 2.附赠案例数据可直接运行matlab程序。 3.代码特点:参数化编程、参数可方便更改、代码编程思路清晰、注释明细。 4.适用对象:计算机,电子信息工程、数学等专业的大学生课程设计、期末大作业和毕业设计。
While the resource demands from UEs are diverse and time-varying, underused or wasted resource issues remain in the big data scenarios supported by only MEC-mounted BSs, especially when there exists bursty traffic caused by some social activities or events. Besides, for these UEs located in ...
1Citations Abstract An unmanned aerial vehicle (UAV) aided wireless powered mobile edge computing (MEC) system is considered in this paper. Different from most existing works that only consider the information transmission assisted by the UAV, in the studied model, the UAV can not only act as ...
In particular, in the current fifth-generation (5G) based networks, the UAVs can provide the smart cities with higher data rates and lower latency by Fog and Mobile Edge Computing (MEC) techniques to meet the Quality of Service (QoS) requirements for various types of users [3]. However, ...
Therefore, the integration of RIS into UAV-enabled MEC systems is considered a mutually beneficial strategy. According to a report in [7], the presence of RISs can eliminate up to 20% of the computational delay, demonstrating their potential impact on the performance of UAV-enabled MEC systems...