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Название: Autonomous Airborne Wireless Networks

Автор: Группа авторов

Издательство: John Wiley & Sons Limited

Жанр: Отраслевые издания

Серия:

isbn: 9781119751700

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СКАЧАТЬ collection from ground‐based sensors and caching scenarios. UAV trajectory planning is mostly effected by the dimension of the target area, flight duration of the mission, QoS requirement by the ground users, and energy constraints. Apart from physical parameters, UAV trajectory optimization is analytically a challenging problem because it involves a fixed number of optimization variables related to the UAV locations [1]. In addition, UAV trajectory optimization requires coupling between different QoS metrics in wireless communication with the mobility of UAV. Recently, there have been a number of studies on the joint trajectory optimization of UAV with its wireless communication metrics, such as throughput maximization in [50–52] and energy‐efficient UAV communication in [53,54].

      2.5.3 Energy Efficiency and Resource Management

      Energy efficiency and resource management require attention where UAVs are operating in key scenarios to collect data from IoT devices, ensure public safety, and support cellular wireless network. Resource management is a major challenge in UAV communications unlike in cellular communications [55]. However, UAV communications introduce additional hindrance in radio resource management due to the interplay between the UAV flight duration, mobility pattern, limited energy source, and spectral efficiency. Therefore, in [56], resource management was jointly optimized with the UAV trajectory in wireless environment.

      Limited amount of on‐board energy is available for battery‐operated UAV, which must be used for propulsion and to fulfill communication‐related tasks [5]. Consequently, continuous and long‐term wireless coverage curtails the UAV flight time. In addition, UAV energy consumption also depends on its path, weather condition, and mission of the UAV. Thus, energy constraints of UAV must be explicitly taken into account during planning of the UAV‐based communication systems. Various works have studied the interplay between energy efficiency and the optimal UAV trajectory [53–55].

      This chapter discussed the use of UAVs in wireless communication network, specifically, the use of UAVs as aerial BSs and as aerial UE in cellular‐assisted systems. In both cases, the accurate channel model of the AG and AA propagation is paramount, which must take into account the environmental conditions, wireless channel impairments, and the UAV mobility to characterize the performance of UAV‐based communication network. Some channel modeling efforts have been studied in this chapter. In addition, key challenges, such as optimal deployment of UAVs, optimization of trajectory path, resource management, and energy efficiency, have also been highlighted.

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