AoI-Sensitive Data Forwarding with Distributed Beamforming in UAV-Assisted IoT
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Abstract (arXiv)
This paper proposes a UAV-assisted forwarding system based on distributed beamforming to enhance age of information (AoI) in Internet of Things (IoT). Specifically, UAVs collect and relay data between sensor nodes (SNs) and the remote base station (BS). However, flight delays increase the AoI and degrade the network performance. To mitigate this, we adopt distributed beamforming to extend the communication range, reduce the flight frequency and ensure the continuous data relay and efficient energy utilization. Then, we formulate an optimization problem to minimize AoI and UAV energy consumption, by jointly optimizing the UAV trajectories and communication schedules. The problem is non-convex and with high dynamic, and thus we propose a deep reinforcement learning (DRL)-based algorithm to solve the problem, thereby enhancing the stability and accelerate convergence speed. Simulation results show that the proposed algorithm effectively addresses the problem and outperforms other benchmark algorithms.
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References · 5
- 2016Layer Normalizationcited by 5,579
- 2018Applications of Deep Reinforcement Learning in Communications and Networking: A Surveycited by 163
- 2022A General Survey on Attention Mechanisms in Deep Learningcited by 64
- 2023Multi-Objective Optimization for UAV Swarm-Assisted IoT with Virtual Antenna Arrayscited by 7
- 2024Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learningcited by 7
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