Abstract
In this paper, we study an unmanned-aerial-vehicle (UAV) based full-duplex (FD) multi-user communication network, where a UAV is deployed as a multiple-input–multiple-output (MIMO) FD base station (BS) to serve multiple FD users on the ground. We propose a multi-objective optimization framework which considers two desirable objective functions, namely sum uplink (UL) rate maximization and sum downlink (DL) rate maximization while providing quality-of-service to all the users in the communication network. A novel resource allocation multi-objective-optimization-problem (MOOP) is designed which optimizes the downlink beamformer, the beamwidth angle, and the 3D position of the UAV, and also the UL power of the FD users. The formulated MOOP is a non-convex problem which is generally intractable. To handle the MOOP, a weighted Tchebycheff method is proposed, which converts the problem to the single-objective-optimization-problem (SOOP). Further, an alternative optimization approach is used, where SOOP is converted in to multiple sub-problems and optimization variables are operated alternatively. The numerical results show a trade-off region between sum UL and sum DL rate, and also validate that the considered FD system provides substantial improvement over traditional HD systems.
Highlights
We consider adjustable beamwidth antennas on the FD MIMO Unmanned Aerial Vehicle (UAV) in a multi-user aerial network where the users have FD capability and propose a novel optimization problem to optimize the UAV’s coverage area with resource allocation; We propose a computationally-efficient solution for transmit beamforming from FD
We have proposed a UAV based FD multiuser communication network in which a UAV is deployed as a MIMO FD base station (BS) to serve multiple FD users on the ground
The proposed MOOP is a non-convex problem which was converted to SOOP by using the Tchebycheff method to ease the design of a resource allocation algorithm
Summary
UAVs are expected to be integral in various applications in 5G wireless systems. Due to the fact that UAVs are operable, highly maneuverable, and have increasing payload capability, it is expected that the use of UAVs will increase in the coming years. There are numerous applications of UAVs including emergency search and rescue, communication relaying, package delivery, emergency broadband service, and infrastructure inspection [1]. A common use of the UAV is a mobile base station (BS) to form a wireless network [2]. In [3], the authors worked on multi-UAV communication systems to serve ground users and primarily focused on designing the UAV trajectories and transmit power to improve throughput. UAVs can be utilized to work as a relay
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