Flexible User Grouping for MIMO-NOMA Millimeter Wave Communication Systems

Zhu, Jinle; Li, Qiang

doi:10.1109/icc40277.2020.9149350

Cited by 5 publications

(9 citation statements)

References 12 publications

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“…C(U i , U j ) measures the channel similarity between U i and U j ranging from 0 (the users' channels are completely uncorrelated)to 1 (the users' channels are completely orthogonal). As in our previous work [7], we choose the complete linkage method to derive the linkage between cluster. We suppose that S i,j is the user group merged from S i and S j , namely, S i,j S i ∪ S j .…”

Section: Problem Formulation and Problem Solutionmentioning

confidence: 99%

“…However, the K-means user grouping scheme is not generalized applicable to the common occasions where users are not physically clustered. [7] has proposed an agglomerative nesting (AGNES) based user grouping scheme which has been shown to outperform the K-means user grouping scheme when users are randomly positioned. [8] extended the work in [7] to derive an enhanced joint user grouping and beam selection procedure.…”

Section: Introductionmentioning

confidence: 99%

“…[7] has proposed an agglomerative nesting (AGNES) based user grouping scheme which has been shown to outperform the K-means user grouping scheme when users are randomly positioned. [8] extended the work in [7] to derive an enhanced joint user grouping and beam selection procedure.…”

Section: Introductionmentioning

confidence: 99%

“…[5]- [7] consider spectrum efficiency (SE) or energy efficiency (EE) as the evaluation criterion. Thus, the beam patterns are pointed to the strongest user in each cluster to achieve a better performance.…”

Section: Introductionmentioning

confidence: 99%

“…More specifically, a modified AGNES user grouping scheme based on the correlation matrix distance (CMD)is proposed. At the analog beamforming stage, a concept of average channel covariance matrix is proposed since we regard all users in the cluster equally rather than focusing on the strongest user as in [7], [8]. Two digital beamforming schemes are proposed to further suppress the inter-cluster interference.…”

Section: Introductionmentioning

confidence: 99%

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Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness

Zhu¹,

Li²,

Chen³

et al. 2021

Preprint

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Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are two key enabling technologies for the fifth-generation (5G) mobile networks and beyond. In this paper, we consider mmWave NOMA systems with max-min fairness constraints. On the one hand, existing beamforming designs aiming at maximizing the spectrum efficiency (SE) are unsuitable for the NOMA systems with fairness in this paper. On the other hand, previous work on about mmWave NOMA mostly depends on full knowledge of channel state information (CSI) which is extremely difficult to obtain accurately in mmWave communication systems. To address this problem, we propose a heuristic hybrid beamforming design based on the statistical CSI (SCSI) user grouping strategy. An analog beamforming scheme is first proposed to integrate the whole cluster users to mitigate the inter-cluster interference in the first stage. Then two digital beamforming designs are proposed to further suppress the interference based on SCSI. One is the widely used zero forcing (ZF) approach and the other is derived from the signal-toleakage-plus-noise ratio (SLNR) metric extended from orthogonal multiple access (OMA) systems. The effective gains fed back from the users are used for the power allocation. We introduce the quadratic transform (QT) method and bisection approach to reformulate this complex problem so as to rend it solvable. Simulation results show that our proposed algorithms outperform the previous algorithms in term of user fairness.

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Section: Problem Formulation and Problem Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness

Zhu¹,

Li²,

Chen³

et al. 2021

Preprint

Self Cite

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Performance Investigation of NOMA Versus OMA Techniques for mmWave Massive MIMO Communications

et al. 2021

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The fifth-generation (5G) of cellular technology is currently being deployed over the world. In the next decade of mobile networks, beyond 5G (B5G) cellular networks with the under-development advanced technology enablers are expected to be a fully developed system that could offer tremendous opportunities for both enterprises and society at large. B5G in more ambitious scenarios will be capable to facilitate much-improved performance with the significant upgrade of the key parameters such as massive connectivity, ultra-reliable and low latency (URLL), spectral efficiency (SE) and energy efficiency (EE). Equipping non-orthogonal multiple access (NOMA) with other key drivers will help to explore systems' applicability to cover a wide variety of applications to forge a path for future networks. NOMA empowers the networks with seamless connectivity and can provide a secure transmission strategy for the industrial internet of things (IIoT) anywhere and anytime. Despite being a promising candidate for B5G networks a comprehensive study that covers operating principles, fundamental features and technological feasibility of NOMA at mmWave massive MIMO communications is not available. To address this, a simulation-based comparative study between NOMA and orthogonal multiple access (OMA) techniques for mmWave massive multiple-input and multiple-output (MIMO) communications is presented with performance discussions and identifying technology gaps. Throughout the paper, aspects of operating principles, fundamental features and technological feasibility of NOMA are discussed. Also, it is demonstrated that NOMA not only has good adaptability but also can outperform other OMA techniques for mmWave massive MIMO communications. Some foreseeable challenges and future directions on applying NOMA to B5G networks are also provided.

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Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness

Zhu

Chen

et al. 2021

ICC 2021 - IEEE International Conference on Communications

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Flexible User Grouping for MIMO-NOMA Millimeter Wave Communication Systems

Cited by 5 publications

References 12 publications

Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness

Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness

Performance Investigation of NOMA Versus OMA Techniques for mmWave Massive MIMO Communications

Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness

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