Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array
By Bichai Wang, Linglong Dai, Zhaocheng Wang, Ning Ge, Shidong Zhou. IEEE Journal on Selected Areas in Communications, 2017
319 citations recorded by the source corpus.
The recent concept of beamspace multiple input multiple output (MIMO) can significantly reduce the number of required radio frequency (RF) chains in millimeter-wave (mmWave) massive MIMO systems without obvious performance loss. However, the fundamental limit of existing beamspace MIMO is that the number of supported users cannot be larger than the number of RF chains at the same time-frequency resources. To break this fundamental limit, in this paper, we propose a new spectrum and energy-efficient mmWave transmission scheme that integrates the concept of non-orthogonal multiple access (NOMA) with beamspace MIMO, i.e., beamspace MIMO-NOMA. By using NOMA in beamspace MIMO systems, the number of supported users can be larger than the number of RF chains at the same time-frequency resources. In particular, the achievable sum rate of the proposed beamspace MIMO-NOMA in a typical mmWave channel model is analyzed, which shows an obvious performance gain compared with the existing beamspace MIMO. Then, a precoding scheme based on the principle of zero forcing is designed to reduce the inter-beam interferences in the beamspace MIMO-NOMA system. Furthermore, to maximize the achievable sum rate, a dynamic power allocation is proposed by solving the joint power optimization problem, which not only includes the intra-beam power optimization, but also considers the inter-beam power optimization. Finally, an iterative optimization algorithm with low complexity is developed to realize the dynamic power allocation. Simulation results show that the proposed beamspace MIMO-NOMA can achieve higher spectrum and energy efficiency compared with the existing beamspace MIMO.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/fc554b3aa954c163847ea0d35196a94554fc796f
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Citations in the corpus
- A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends (2017, background): “The use of NOMA can effectively improve the spectral efficiency of mmWave communications, and cope with the rapidly growing demands [76].”
- A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks (2019, methodology): “sum rate Generic algorithm, particle swarm optimization, and simulated annealing The proposed PSO-based/two-stage PA algorithms perform better/slightly worse than the benchmark scheme in [190] with low computational complexity”
- Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues (2017, methodology): “A new millimeter wave transmission scheme that integrates NOMA with beamspace MIMO is proposed in [19], which shows that MIMO-NOMA can achieve higher spectrum and energy efficiency compared with existing beamspace MIMO even when there exists inter-cluster interference.”
- Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019, methodology): “[28] applied NOMA to millimeter-wave communication with the concept of beamspace MIMO, which demonstrated that NOMA can achieve higher system SE and EE than the conventional beamspace MIMO communication.”
- A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “By using NOMA, one beam can support two or more UEs with the help of intra-beam superposition coding and SIC, which differs significantly from conventional mmWave massive MIMO systems, where one beam supports only one UE at the same time-frequency resources.”
- Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021, unknown): “Along this line, the authors of [63] proposed a novel beamspace MIMO-NOMA scheme with efficient ZF beamforming design and dynamic power allocation, which was shown to significantly outperform existing beamspace MIMO systems that do not leverage NOMA.”
- Deep Learning for an Effective Nonorthogonal Multiple Access Scheme (2018, methodology): “For the purpose of optimizing the spectrum and energy efficiency, a new spectrum and energy-efficiency mmWave transmission scheme that integrates the concept of NOMA into beamspace multiple-input multiple-output (MIMO) was proposed in [9].”