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Cognition in UAV-Aided 5G and Beyond Communications: A Survey
IEEE Transactions on Cognitive Communications and Networking ( IF 8.6 ) Pub Date : 2020-09-01 , DOI: 10.1109/tccn.2020.2968311
Zaib Ullah , Fadi Al-Turjman , Leonardo Mostarda

In recent years, unmanned aerial vehicles (UAVs) have attained significant interest in different applications including aerial surveillance, providing wireless coverage, precision agriculture, power lines & oil rigs monitoring and construction, etc. The UAVs implicit peculiarities, e.g., swift mobility, increase in payload capabilities and airborne time, place it as a potential candidate for many applications in next-generation wireless communications. In this article, a comprehensive study on UAVs challenges, potential applications, and regulations is presented. In particular, fundamental challenges such as UAVs standardization, channel modeling, interference mitigation, collision avoidance and optimal trajectory design using deep reinforcement learning (RL) algorithms, energy harvesting techniques, security, and regulations are explored in light of most recent research development. Moreover, we propose a set of UAVs regulations to ensure its steady social integration and new business opportunities. Finally, various problems and future research directions regarding UAVs are presented.

中文翻译:

无人机辅助 5G 及其他通信中的认知:一项调查

近年来,无人机 (UAV) 在不同的应用中引起了极大的兴趣,包括空中监视、无线覆盖、精准农业、电力线和石油钻井平台监测和建设等。在有效载荷能力和空中时间方面,将其作为下一代无线通信中许多应用的潜在候选者。在本文中,对无人机挑战、潜在应用和法规进行了全面研究。特别是无人机标准化、信道建模、干扰缓解、碰撞避免和使用深度强化学习 (RL) 算法的最佳轨迹设计、能量收集技术、安全、根据最近的研究发展探索和监管。此外,我们提出了一套无人机法规,以确保其稳定的社会融合和新的商机。最后,提出了有关无人机的各种问题和未来的研究方向。
更新日期:2020-09-01
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