Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 69, Issue 4, Pages 2346-2358Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2020.3044599
Keywords
Resource management; Antenna arrays; Unmanned aerial vehicles; NOMA; Manganese; Three-dimensional displays; Array signal processing; Internet of Things; multi-beam; non-orthogonal multiple access; unmanned aerial vehicle
Funding
- National Key Research and Development Project [2019YFB1804100]
- National Natural Science Foundation of China [61971194, 61871065]
- Key Research and Development Project of Guangdong Province [2019B010156003]
- Natural Science Foundation of Guangdong Province [2019A1515011607]
- Open Research Fund of National Mobile Communications Research Laboratory, Southeast University [2019D06]
- Fundamental Research Funds for the Central Universities [2019JQ08]
Ask authors/readers for more resources
This paper proposes a UAV-aided mmWave MIMO NOMA system to provide wireless access services for IoT devices, aiming to maximize the downlink sum rate through joint optimization of UAV placement, beam pattern, and transmit power. The optimal UAV placement and beam pattern synthesis are achieved using convex optimization techniques and MOEA/D algorithm, while a suboptimal algorithm based on FP is proposed to achieve near-optimal performance. Numerical results demonstrate a significant performance gain compared to OFDMA scheme in terms of sum rate for all IoT devices.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available