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Joint 3D Trajectory and Power Optimization for UAV-aided mmWave MIMO-NOMA Networks

Feng, W; Zhao, N; Ao, S; Tang, J; Zhang, X; Fu, Y; So, DKC; (2020) Joint 3D Trajectory and Power Optimization for UAV-aided mmWave MIMO-NOMA Networks. IEEE Transactions on Communications 10.1109/TCOMM.2020.3044599. (In press). Green open access

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Abstract

This paper considers an unmanned aerial vehicle (UAV)-aided millimeter Wave (mmWave) multiple-input-multiple-output (MIMO) non-orthogonal multiple access (NOMA) system, where a UAV serves as a flying base station (BS) to provide wireless access services to a set of Internet of Things (IoT) devices in different clusters. We aim to maximize the downlink sum rate by jointly optimizing the three-dimensional (3D) placement of the UAV, beam pattern and transmit power. To address this problem, we first transform the non-convex problem into a total path loss minimization problem, and hence the optimal 3D placement of the UAV can be achieved via standard convex optimization techniques. Then, the multiobjective evolutionary algorithm based on decomposition (MOEA/D) based algorithm is presented for the shaped-beam pattern synthesis of an antenna array. Finally, by transforming the original problem into an optimal power allocation problem under the fixed 3D placement of the UAV and beam pattern, we derive the closed-form expression of transmit power based on Karush-Kuhn-Tucker (KKT) conditions. In addition, inspired by fraction programming (FP), we propose a FP-based suboptimal algorithm to achieve a near-optimal performance. Numerical results demonstrate that the proposed algorithm achieves a significant performance gain in terms of sum rate for all IoT devices, as compared with orthogonal frequency division multiple access (OFDMA) scheme.

Type: Article
Title: Joint 3D Trajectory and Power Optimization for UAV-aided mmWave MIMO-NOMA Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TCOMM.2020.3044599
Publisher version: https://doi.org/10.1109/TCOMM.2020.3044599
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Internet of Things, multi-beam, non-orthogonal multiple access, unmanned aerial vehicle
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10119341
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