Wireless communications with unmanned aerial vehicles: opportunities and challenges

Zeng, Yong; Zhang, Rui; Lim, Teng Joon · 2016 · OpenAlex-citations

DOI: 10.1109/mcom.2016.7470933

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Summary

This paper provides a comprehensive overview of unmanned aerial vehicle (UAV)-aided wireless communications, addressing the opportunities and challenges of using low-altitude drones to provide cost-effective connectivity for devices lacking infrastructure coverage. The authors motivate this research by highlighting the limitations of terrestrial systems and high-altitude platforms (HAPs). Unlike HAPs, which offer wide coverage but are less flexible, low-altitude UAVs can be deployed on-demand, reconfigured flexibly, and establish short-range line-of-sight (LoS) links that significantly improve channel performance. The study identifies three primary use cases: providing ubiquitous coverage (e.g., disaster recovery or base station offloading), relaying data between distant users, and disseminating or collecting information from distributed devices. The authors analyze the system through its networking architecture, channel characteristics, and design considerations. The architecture comprises control and non-payload communications (CNPC) links for safety-critical functions and data links for mission-related traffic. Channel analysis reveals that UAV-ground links are dominated by LoS components but suffer from airframe shadowing and multipath fading, while UAV-UAV links feature high Doppler shifts due to relative velocity. Key design challenges include the need for energy-aware deployment due to strict size, weight, and power (SWAP) constraints, complex path planning, and interference management. The paper notes that while multiple-input multiple-output (MIMO) technology faces limitations in UAV environments due to poor scattering and hardware constraints, multi-user MIMO and millimeter-wave communications offer potential solutions. Significant findings focus on leveraging UAV mobility to enhance performance. The authors propose a UAV-enabled mobile relaying strategy where the drone dynamically moves between source and destination to minimize link distances. Simulations demonstrate that this approach achieves spectrum efficiency more than twice that of static relaying, with gains increasing as UAV velocity and delay tolerance increase. Additionally, the paper introduces a D2D-enhanced information dissemination protocol. In this two-phase scheme, the UAV broadcasts coded file fragments to ground nodes, which then exchange data via device-to-device communications to reconstruct the file. This method significantly reduces UAV retransmissions and flying time, thereby conserving energy. The significance of this work lies in establishing a foundational framework for integrating UAVs into future wireless systems. By characterizing unique channel properties and proposing mobility-aware communication strategies, the paper highlights how UAVs can overcome infrastructure limitations and improve spectral efficiency. It concludes that while challenges such as energy constraints and dynamic interference remain, the strategic coordination of UAV mobility and adaptive communication protocols offers substantial performance improvements, making UAV-aided communications a promising component of next-generation networks.

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• v2x connected vehicle