Utility Maximization in Multi-Functional UAV- and IRS-Aided SWIPT-MEC Networks: A Dynamic Feature Extraction-Based Optimization Approach

Joint Optimization of Offloading, Phase-Shift, Trajectory and Resource Allocation in Priority-Aware IRS-Assisted UAV-MEC Systems

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) utilizes low-altitude resources to provide computation services for ground users (GUs). However, the wireless channels connecting UAVs and GUs are often weak, and the priority of heterogeneous tasks is usually ignored, leading to unsatisfactory quality...

Hierarchical Optimization of UAV Deployment and Resource Allocation for ISAC-Enabled Low-Altitude Wireless Networks

Driven by the vision of a thriving low-altitude economy and aiming to provide on-demand services for diverse entities, this paper investigates an integrated sensing and communication (ISAC)-enabled low-altitude wireless network (LAWN). Benefiting from flexible mobility and cost-effective cooperative deployment, multipl...

Utility Maximization Integrating Secrecy, Energy Consumption, and Latency for UAV-Assisted MEC Systems via Dual-Replay TD3

A utility maximization problem to jointly optimize UAV trajectory and task-offloading decisions in UAV-assisted MEC systems against multiple eavesdroppers is formulated and an enhanced twin-delayed deep deterministic policy gradient (TD3) framework integrating Hindsight Experience Replay (HER) and Prioritized Experienc...

Age-Energy Tradeoff in UAV-Aided ISAC Networks With MEC: An SA-PPO-Based Approach

Collaborative resource allocation in UAV-assisted MEC networks: A heterogeneous MAPPO scheme

This paper proposes a heterogeneous multi-agent proximal policy optimization (MAPPO)-based framework where both user devices and UAVs act as heterogeneous agents and utilizes a centralized training and decentralized execution (CTDE) paradigm to enable collaborative strategies between computing requesters and providers.

Energy-Delay Tradeoff for Multimodal Task Offloading in Semantic Communication-Enabled Low-Altitude MEC Networks Under Jamming

Low-altitude uncrewed aerial vehicles (UAVs) equipped with mobile edge computing (MEC) capabilities can provide flexible computation services for latency-sensitive urban applications. However, the offloading of heterogeneous semantic tasks over jammed air-to-ground links requires the communication, computation, and mob...