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UAV Communications for 5G and Beyond: Recent Advances and Future Trends (1901.06637v1)

Published 20 Jan 2019 in cs.NI

Abstract: Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important component of the upcoming wireless networks that can potentially facilitate wireless broadcast and support high rate transmissions. Compared to the communications with fixed infrastructure, UAV has salient attributes, such as flexible deployment, strong line-of-sight (LoS) connection links, and additional design degrees of freedom with the controlled mobility. In this paper, a comprehensive survey on UAV communication towards 5G/B5G wireless networks is presented. We first briefly introduce essential background and the space-air-ground integrated networks, as well as discuss related research challenges faced by the emerging integrated network architecture. We then provide an exhaustive review of various 5G techniques based on UAV platforms, which we categorize by different domains including physical layer, network layer, and joint communication, computing and caching. In addition, a great number of open research problems are outlined and identified as possible future research directions.

Citations (929)

Summary

  • The paper presents a comprehensive survey on integrating UAVs into 5G/B5G networks to enhance connectivity and overcome propagation challenges.
  • It evaluates physical layer techniques such as mmWave beamforming, NOMA, and cognitive radio methods to boost spectral efficiency and reliability.
  • It highlights innovative network strategies including HetNets, D2D integration, SDN control, MEC-based caching, and energy harvesting solutions.

An In-Depth Analysis of UAV Communications for 5G and Beyond: Recent Advances and Future Trends

The discussed paper provides a comprehensive survey on the integration of Unmanned Aerial Vehicles (UAVs) into 5G and Beyond 5G (B5G) networks. It explores the potential of UAVs to enhance modern communication systems through flexible deployment, strong line-of-sight (LoS) connections, and dynamic mobility. By presenting an exhaustive review of UAV-supported communication techniques categorized across various domains, the paper offers an insightful resource for researchers aiming to delve into this evolving field.

Overview of the Space-Air-Ground Integrated Network Architecture

The future of B5G wireless communications is envisioned through a sophisticated space-air-ground integrated network architecture. The network is segmented into three layers: space-based, air-based, and ground-based layers. This architecture aims to offer ubiquitous connectivity using a combination of satellites, UAVs, and ground stations (BSs).

Key Components:

  • Space-Based Network: Composed of various satellites providing extensive coverage and seamless connectivity, this layer utilizes higher frequency bands (e.g., Ka-band) to ensure low-latency and high-throughput services.
  • Air-Based Network: Utilizing a variety of UAVs, this layer offers dynamic deployment and scalable connectivity. UAVs serve as aerial BSs to enhance the ground network, particularly in high traffic or emergency scenarios.
  • Ground-Based Network: Consists of traditional macro and small cells, supporting high data rates and multiple user connections through 5G technologies such as mmWave, energy harvesting, NOMA, and D2D communication.

Physical Layer Techniques

mmWave UAV-Assisted Networks

UAV-assisted mmWave communications are investigated for their potential to handle high bandwidth requirements inherent in 5G networks. Key challenges include handling high propagation loss and efficient beamforming to account for UAV mobility. Various research efforts focus on aspects like beam tracking, optimal relay location, and managing channel dynamics to ensure reliable communication.

UAV NOMA Transmission

The paper reviews several works that incorporate Non-Orthogonal Multiple Access (NOMA) in UAV communications. NOMA effectively serves multiple users by leveraging the power domain for multiple access, providing improved spectral efficiency. Research in this domain addresses optimization problems related to power allocation, trajectory design, and SIC techniques to maximize throughput and user fairness.

Cognitive UAV Networks

Cognitive Radio (CR) technology is integrated with UAVs to dynamically access available spectrum, thus addressing the spectrum scarcity challenge. This involves spectrum sharing strategies that minimize interference and enhance the utilization of existing frequency bands.

Energy Harvesting UAV Networks

Energy efficiency is critical due to the limited battery life of UAVs. The paper discusses advancements in energy harvesting techniques, such as solar-powered UAVs, and methodologies to optimize power consumption. Wireless Powered Communication Networks (WPCN) using UAVs to deliver energy to ground devices are also explored.

Network Layer Techniques

UAV-Assisted HetNets

The deployment of UAVs in heterogeneous networks (HetNets) offers flexible mobile base stations to alleviate traffic demand and improve network capacity. Research shows UAVs' potential to dynamically adjust to user density, optimize placement, and coordinate with ground networks for efficient resource management.

Combined UAVs and D2D Communications

Integrating UAVs with Device-to-Device (D2D) communications can enhance connectivity by providing direct links between user devices. Optimization of UAV trajectory, interference management, and spectrum sharing are key areas of research highlighted in this section.

Software-Defined UAV Networks

The application of Software-Defined Networking (SDN) to UAV networks enables dynamic reconfiguration and improved resource management. Studies focus on the integration of SDN controllers to enhance network flexibility, enabling efficient handover, path planning, and real-time adjustments to network changes.

Joint Communication, Computing, and Caching

The integration of UAVs into Mobile Edge Computing (MEC) and caching mechanisms offers significant benefits, including reduced latency and backhaul traffic. UAVs can serve as edge servers, offloading computational tasks from IoT devices and caching popular content for efficient data dissemination.

Future Research Directions

The paper identifies several open research challenges:

  • Energy Charging Efficiency: Innovations in energy beamforming and WPT are needed to enhance UAVs' charging efficiency.
  • UAV-to-UAV and Satellite-to-UAV Communications: Developing robust protocols for reliable multi-UAV and satellite-to-UAV communications remains an open area.
  • Interaction of Different Segments: Effective cooperation and seamless integration among space, air, and ground segments are crucial for optimal performance.
  • Synergy of UAVs and IoT Systems: Energy-aware synergy between UAVs and IoT devices promises enhanced system performance.
  • Security and Privacy: Innovations to secure UAV systems against cyber attacks are imperative.
  • Space-Air-Ground Integrated Vehicular Networks: Effective design and management are necessary for integrating UAVs with vehicular networks.
  • Integration of Networking, Computing, and Caching: Holistic approaches to integrating these domains can better meet the demands of smart IoT systems.
  • Environment Uncertainty: Accurate prediction and adaptability to environmental changes are essential for consistent performance.

Conclusion

The paper presents a rigorous analysis of UAV communications in the context of 5G/B5G networks, highlighting the technological advances and identifying research opportunities. By addressing the challenges and leveraging UAVs' unique attributes, the integration of UAVs into modern communication infrastructures holds promise for significantly enhancing wireless network capabilities.