Journal
IEEE ACCESS
Volume 7, Issue -, Pages 81783-81793Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2923713
Keywords
MIMO-NOMA networks; user clustering; beamforming; resource allocation; effective capacity
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Funding
- Natural Science Foundation of China [61871237]
- National Science and Technology Key Project of China [2017ZX03001008]
- Natural Science Foundation of the Higher Education Institutions of Jiangsu Province [16KJA510005]
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In this paper, a novel joint design of user clustering and multi-dimensional resource allocation based on effective capacity (EC) is proposed for the multi-cell downlink multiple-input-multiple-output (MIMO) non-orthogonal multiple access (NOMA) networks. First, we propose a dynamic user clustering algorithm to divide users into a number of clusters, where all users in one cluster share a single beamforming vector. Then, we adopt zero-forcing beamforming (ZFBF) to significantly eliminate the inter-cluster interference. Finally, we design a joint optimization of channel allocation and power allocation, which aims to maximize the sum-EC of all users. The joint optimization is formulated as an NP-hard problem. To make the problem tractable, we divide the problem into two subproblems. Then, we propose an alternating optimization algorithm to obtain a suboptimal solution. The numerical results demonstrate that compared with traditional algorithms our proposed algorithm can achieve significant capacity gain and simultaneously have low-computational complexity.
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