Abstract:
This paper studies an unmanned aerial vehicle (UAV)-aided Multiple-input-Multiple-output (MIMO) nonorthogonal multiple access (NOMA) system, where a UAV acts as a flying ...Show MoreMetadata
Abstract:
This paper studies an unmanned aerial vehicle (UAV)-aided Multiple-input-Multiple-output (MIMO) nonorthogonal multiple access (NOMA) system, where a UAV acts as a flying base station (BS) to provide wireless access services to a set of Internet of Things (IoT) devices. To improve the transmission efficiency, the sum rate of all IoT devices can be maximized by jointly optimizing the three-dimensional (3D) position of the UAV, beam pattern and transmit power. To tackle this problem, we first transform the non-convex problem into a total path loss minimization problem, and then the standard convex optimization techniques is applied to obtain the optimal 3D placement of the UAV. Then, the multiobjective evolutionary algorithm based on decomposition (MOEA/D) based algorithm is proposed for achieving high steering performance of multi-beams. Finally, the closed-form expression of transmit power is derived based on the Karush-Kuhn-Tucker (KKT) conditions. Numerical results show the significant performance gains in terms of sum rate of all IoT devices can be achieved by the proposed algorithm.
Date of Conference: 09-11 August 2020
Date Added to IEEE Xplore: 09 November 2020
ISBN Information:
Print on Demand(PoD) ISSN: 2377-8644