Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks
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Abstract (arXiv)
In this paper, we consider a single-cell cellular network with a number of cellular users (CUs) and unmanned aerial vehicles (UAVs), in which multiple UAVs upload their collected data to the base station (BS). Two transmission modes are considered to support the multi-UAV communications, i.e., UAV-to-infrastructure (U2I) and UAV-to-UAV (U2U) communications. Specifically, the UAV with a high signal to noise ratio (SNR) for the U2I link uploads its collected data directly to the BS through U2I communication, while the UAV with a low SNR for the U2I link can transmit data to a nearby UAV through underlaying U2U communication for the sake of quality of service. We first propose a cooperative UAV sense-and-send protocol to enable the UAV-to-X communications, and then formulate the subchannel allocation and UAV speed optimization problem to maximize the uplink sum-rate. To solve this NP-hard problem efficiently, we decouple it into three sub-problems: U2I and cellular user (CU) subchannel allocation, U2U subchannel allocation, and UAV speed optimization. An iterative subchannel allocation and speed optimization algorithm (ISASOA) is proposed to solve these sub-problems jointly. Simulation results show that the proposed ISASOA can upload 10% more data than the greedy algorithm.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jan 2018.
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Citing papers per year: 2023: 3; 2024: 0; 2025: 1; 2026: 3.
7 papers.
- 2025PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Derainingcited by 5
- 2023Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communicationscited by 2
- 2023Energy-Efficient Cellular-Connected UAV Swarm Control Optimizationcited by 1
- 2023Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learningcited by 1
- 2026A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Managementcited by 0
- 2026Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networkscited by 0
- 2026Personalized Federated Learning by Energy-Efficient UAV Communicationscited by 0
- 2026Personalized Federated Learning by Energy-Efficient UAV Communications24 May 2026
- 2026Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks10 May 2026
- 2026A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management10 May 2026
- 2025PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining8 May 2025
- 2023Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning31 Aug 2023
- 2023Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications29 Mar 2023
- 2023Energy-Efficient Cellular-Connected UAV Swarm Control Optimization18 Mar 2023