Beam Design and User Scheduling for Nonorthogonal Multiple Access With Multiple Antennas Based on Pareto Optimality

Seo, Jeong Taeg; Sung, Youngchul

doi:10.1109/tsp.2018.2821635

Cited by 17 publications

(26 citation statements)

References 29 publications

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“…In Fig. 7, it can be seen that the throughput performance of both full and partial CSI of our proposed schemes achieve better performance compared to the full CSI performance of Pareto-optimality scheme [15]. In addition, it can be noticed that in high SNR TABLE 1.…”

Section: Simulation Resultsmentioning

confidence: 85%

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Robust Beamforming and User Clustering for Guaranteed Fairness in Downlink NOMA With Partial Feedback

et al. 2019

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In this paper, a downlink multiuser non-orthogonal multiple access (NOMA) with full and partial channel state information (CSI) feedback is considered. We investigate beam design and user clustering from the throughput-fairness trade-off perspective. To enhance this trade-off, two proportional fairness (PF) based scheduling algorithms are proposed, each has two stages. The first algorithm is based on integrating the maximum product of effective channel gains and the maximum signal to interference ratio with the PF principle (PF-MPECG-SIR), to select the strong users in the first stage and the weak users in the second stage. This algorithm is designed to maximize the throughput with moderate fairness enhancement. Whereas, in the second algorithm, the MPECG and the maximum correlation are combined within the PF selection criterion (PF-MPECG-CORR) in order to maximize the fairness with a slight degradation in the total throughput. In addition, we present an optimal power allocation that can achieve a high data rate for the overall system without sacrificing the sum-rate of weak users under full and partial CSI. Simulation results show that the proposed PF-MPECG-CORR can significantly improve the fairness up to 50.82% and 44.90% with only 0.42% and 1.13% degradation in the total throughput, for full and partial CSI, respectively. All these performance gains are achieved without increasing the computational complexity. INDEX TERMS 5G, MPECG, NOMA, partial channel state information, proportional fairness, power allocation, zero-forcing beamforming. IOANNIS KRIKIDIS (S'03-M'07-SM'12-F'19) received the Diploma degree in computer engineering from the Computer Engineering and

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Section: Simulation Resultsmentioning

confidence: 85%

“…In [15], beam design and-user-scheduling based on the Pareto-optimality algorithm was proposed to control the rates of strong and weak users in downlink multiuser NOMA. However, the performance of SUS-SIR algorithm in [12] still gives a higher throughput for the total system and weak users.…”

Section: Introductionmentioning

confidence: 99%

Robust Beamforming and User Clustering for Guaranteed Fairness in Downlink NOMA With Partial Feedback

et al. 2019

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“…The maximization problem for given (R * 1 , · · · , R * L−1 ) can be solved by a convex programming approach based on reformulation [18] and the convex concave procedure (CCP) [19]. However, difficulty lies in knowing the feasible target rate-tuple set for the MISO BC with superposition coding and SIC since the rates depend on the beam vectors and channel vectors of all in-group users, although some induction approach for this was proposed in [20]. The difficulty to find the feasible rate tuple for Users 1, · · · , L−1 can be circumvented by formulating the problem as weighted sum rate maximization based on the rateprofile approach [21].…”

Section: A Intra-group Beam Design and The Corresponding Ratesmentioning

confidence: 99%

“…For the N = K = 4 system, we considered 10 log 10 Pt 1 = [10,15,20,40,60] dB, where one in the denominator is the noise variance. For each SNR point, we generated 500,000 channel realizations.…”

Section: Rate Distribution and Multiplexing Gain Lossmentioning

confidence: 99%

A High-Diversity Transceiver Design for MISO Broadcast Channels

Seo

Sung

Jafarkhani

2019

IEEE Trans. Wireless Commun.

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In this paper, the outage behavior and diversity order of the mixture transceiver architecture for multiple-input single-output broadcast channels are analyzed. The mixture scheme groups users with closely-aligned channels and applies superposition coding and successive interference cancellation decoding to each group composed of users with closely-aligned channels, while applying zero-forcing beamforming across semi-orthogonal user groups. In order to enable such analysis, closed-form lower bounds on the achievable rates of a general multiple-input single-output broadcast channel with superposition coding and successive interference cancellation are newly derived. By employing channel-adaptive user grouping and proper power allocation, which ensures that the channel subspaces of user groups have angle larger than a certain threshold, it is shown that the mixture transceiver architecture achieves full diversity order in multiple-input single-output broadcast channels and opportunistically increases the multiplexing gain while achieving full diversity order. Furthermore, the achieved full diversity order is the same as that of the single-user maximum ratio transmit beamforming. Hence, the mixture scheme can provide reliable communication under channel fading for ultra-reliable low latency communication.Numerical results validate our analysis and show the outage superiority of the mixture scheme over conventional transceiver designs for multiple-input single-output broadcast channels. Index TermsMultiple-input single-output broadcast channels, outage probability, diversity order, successive interference cancellation, user grouping, mixture reception † Corresponding author J. Seo and Y. Sung are with

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“…However, it is not feasible to restructure the entire network each time it gets clogged up with traffic, therefore, a more realistic approach is to adopt as a reconfigurable solution [45]. Moreover, the data demand for user plane (UP) and control plane (CP) in the 5G network will likely grow at different speeds, resulting in an independently scalable solution and user's demands will increase alongside user's intolerance to underperforming applications [46]. For optimal performance, 5G networks will adopt a more coordinated approach to radio access network (RAN) technology based on CoMP transmission and Inter-cell Interference Coordination (ICIC) as already demonstrated in the recent release-15 systems [47].…”

Section: Introductionmentioning

confidence: 99%

Interference management issues for the future 5G network: a review

et al. 2019

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The future wireless Fifth Generation (5G) communication network required a higher bandwidth in order to achieve greater data rate. It will be largely characterized by small cell deployments, typically in the range of 200 meters of radius/cell, at most. The implementation of small size networks delivers various advantages such as high data rate and low signal delay. However, it also suffers from various issues such as inter-cell, intra-cell, and inter-user interferences. This paper discusses the issues related to interference management for 5G network from the perspective of Heterogeneous Network and Deviceto-Device communication, by using enabling techniques, such as Inter-cell Interference Coordination, Coordinated Multipoint, and Coordinated Scheduling. Furthermore, several pertinent issues have been critically reviewed focusing on their methodologies, advantages and limitations along with the future work. Future directions proposed by the 3rd Generation Partnership Project for interference mitigation has also been outlined. This review will act as a guide for the researchers to comprehend various existing and emerging enabling interference mitigation techniques for further exploration and smooth implementation of 5G wireless network.

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Beam Design and User Scheduling for Nonorthogonal Multiple Access With Multiple Antennas Based on Pareto Optimality

Cited by 17 publications

References 29 publications

Robust Beamforming and User Clustering for Guaranteed Fairness in Downlink NOMA With Partial Feedback

Robust Beamforming and User Clustering for Guaranteed Fairness in Downlink NOMA With Partial Feedback

A High-Diversity Transceiver Design for MISO Broadcast Channels

Interference management issues for the future 5G network: a review

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