Robust Beamforming in Downlink MIMO NOMA Networks Using Cutting-Set Method

Tian, Maoxin; Zhang, Qi; Zhao, Sai; Li, Quanzhong; Qin, Jiayin

doi:10.1109/lcomm.2017.2773088

Cited by 16 publications

(7 citation statements)

References 11 publications

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“…We remark that the non-robust approach corresponds to the algorithm developed in [4]. Since Type-III uncertainty is just a subset of Type-I uncertainty (see (11) and (13)), better SINR with Type-III uncertainty compared to Type-I uncertainty, especially at high SNR, is seen in Fig. 1.…”

Section: Numerical Resultsmentioning

confidence: 97%

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Robust Power Allocation in MIMO-NOMA Systems

Hanif

Ding

2019

IEEE Wireless Commun. Lett.

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Generalized singular-value decomposition (GSVD) has been recognized as an enabler of multiple-input-multipleoutput (MIMO) nonorthogonal multiple-access (NOMA) systems. The GSVD is leveraged to MIMO-NOMA with channel estimation errors. Channel uncertainty is uniquely incorporated in the variances of elements of error matrices in the signalto-interference-plus-noise ratio (SINR) balancing problem, and tractable convex formulations are derived for different uncertainty models in this letter. The proposed design is numerically evaluated and its superiority over non-robust and orthogonal multiple access (OMA) systems is established.

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Section: Numerical Resultsmentioning

confidence: 97%

“…Probabilistically constrained NOMA systems have been considered in [10]. A cutting set method was proposed in [11] to optimize the spectral efficiency of a MIMO-NOMA system with channel errors. Owing to grouping of users with different channel gains, fairness becomes a key issue in NOMA systems.…”

Section: Introductionmentioning

confidence: 99%

Robust Power Allocation in MIMO-NOMA Systems

Hanif

Ding

2019

IEEE Wireless Commun. Lett.

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“…The proposed scheme uses long-term channel feedback for US, but the instantaneous CSI for beam design and this outperforms traditional MU-MIMO [136] One beam per user One BS + K users (with channel uncertainties)…”

Section: Max Weighted Sum Rate Iterative Wmmse Algorithmmentioning

confidence: 99%

A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks

Maraqa

Rajasekaran

Al-Ahmadi

et al. 2020

IEEE Commun. Surv. Tutorials

327

159

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Non-orthogonal multiple access (NOMA) schemes serve more than one user in the same resource block by multiplexing users in other domains than frequency and time. In this way, NOMA schemes offer several advantages over orthogonal multiple access (OMA) schemes such as improved user fairness and spectral efficiency, higher cell-edge throughput, massive connectivity support, and low transmission latency. With these merits, NOMA transmission schemes are being increasingly looked at as a promising multiple access scheme for future wireless networks. When the power domain is used to multiplex users, it is referred to as the power domain NOMA (PD-NOMA) scheme. In this paper, we survey the integration of the PD-NOMA scheme with other upcoming communication schemes and technologies that satisfy the requirements of 5G and beyond 5G (B5G) networks. In particular, this paper surveys the rate optimization schemes studied in the literature when the PD-NOMA scheme is combined with MIMO and massive MIMO (mMIMO), millimeter wave (mmWave) communications, coordinated multi-point (CoMP) transmission and reception, cooperative communications, cognitive radio (CR), visible light communications (VLC), and unmanned aerial vehicle (UAV) assisted communications. The considered system models, the optimization methods used to maximize the achievable rates, and the main outcomes on the performance of these NOMA-enabled schemes are discussed along with future research directions for these combined schemes.

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“…In this scheme, the signal for each user was VOLUME 4, 2016 transmitted with a dedicated beam-former. Differing from [176] and [178], the authors in [177] studied the robust beamforming technique in the MIMO-NOMA system using the cutting set method. e: Coordinated beamforming NOMA (C-BF-NOMA) [179] In [179], the authors investigated the problem of inter-cell interference in a multi-cell MIMO-NOMA based system.…”

Section: ) Beam-forming Based Mimo-nomamentioning

confidence: 99%

A Systematic Review on NOMA Variants for 5G and Beyond

et al. 2021

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Over the last few years, interference has been a major hurdle for successfully implementing various end-user applications in the fifth-generation (5G) of wireless networks. During this era, several communication protocols and standards have been developed and used by the community. However, interference persists, keeping given quality of service (QoS) provision to end-users for different 5G applications. To mitigate the issues mentioned above, in this paper, we present an in-depth survey of state-ofthe-art non-orthogonal multiple access (NOMA) variants having power and code domains as the backbone for interference mitigation, resource allocations, and QoS management in the 5G environment. These are future smart communication and supported by device-to-device (D2D), cooperative communication (CC), multiple-input and multiple-output (MIMO), and heterogeneous networks (HetNets). From the existing literature, it has been observed that NOMA can resolve most of the issues in the existing proposals to provide contention-based grant-free transmissions between different devices. The key differences between the orthogonal multiple access (OMA) and NOMA in 5G are also discussed in detail. Moreover, several open issues and research challenges of NOMA-based applications are analyzed. Finally, a comparative analysis of different existing proposals is also discussed to provide deep insights to the readers.

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Robust Beamforming in Downlink MIMO NOMA Networks Using Cutting-Set Method

Cited by 16 publications

References 11 publications

Robust Power Allocation in MIMO-NOMA Systems

Robust Power Allocation in MIMO-NOMA Systems

A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks

A Systematic Review on NOMA Variants for 5G and Beyond

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