Abstract
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.
Highlights
The fifth generation (5G) is a new generation mobile communication system which needs to achieve higher spectral efficiency and network capacity to meet the exponential growth of user demand
We propose a novel user clustering algorithm for downlink multi-cell MIMO-Non-orthogonal multiple access (NOMA) networks based on Channel State Information (CSI)
We obtain a suboptimal solution to the joint optimization problem by an alternating optimization method
Summary
The fifth generation (5G) is a new generation mobile communication system which needs to achieve higher spectral efficiency and network capacity to meet the exponential growth of user demand. Spectral efficiency and network capacity can be further improved by introducing MIMO-NOMA into multi-cell scenarios. B. MOTIVATIONS AND CONTRIBUTIONS On the one hand, resource allocation in MIMO-NOMA networks is almost all considered from the perspective of space and power, but spectrum allocation has an important impact on spectral efficiency and network capacity. We propose a novel user clustering algorithm for downlink multi-cell MIMO-NOMA networks based on Channel State Information (CSI). Intra-cluster users can share one beam and channel and the computational complexity of beamforming vector allocation in multi-cell scenarios can be reduced. To solve above optimization problem, we propose an iterative multi-dimensional resource allocation algorithm It can achieve significant performance gain compared with other algorithms
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