Control Overhead Reduction Method Employing Frequency Correlation for MU-MIMO-OFDM THP with User Scheduling

Shimbo, Yukiko; Hiruma, Nobuhiro; Suganuma, Hirofumi; Maehara, Fumiaki

doi:10.1109/vtcspring.2018.8417814

Cited by 3 publications

(2 citation statements)

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“…A common strategy for user grouping is to consider user channel correlation as an indicator, as seen in [3], [4], [13]. This technique involves calculating of channel matrix correlation, which must be regularly updated and which yields mixed results.…”

Section: New Algorithm Proposal For User Selectionmentioning

confidence: 99%

Efficient System Capacity User Selection Algorithm in MU-MIMO

Manini

Gueguen

Legouable

et al. 2021

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

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Radio resource allocation is a major research field in wireless networks. The main challenge is to find the most suitable user for each time and frequency resource to ensure the Quality of Service (QoS) requirements. The use of Massive Multiple-Input-Multiple-Output (MIMO) makes it possible to simultaneously schedule several users on the same time and frequency resources. This is a new paradigm for resource scheduling. In this context, resource allocation algorithms have to account for the choice of users served on the same time and frequency resource in their decision mechanism. In this paper we analyze the impact of different group sizes on system capacity using several user selection algorithms and we propose a new user selection algorithm which performs closer to the optimal algorithm proposed in the literature.

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Section: New Algorithm Proposal For User Selectionmentioning

confidence: 99%

Efficient System Capacity User Selection Algorithm in MU-MIMO

Manini

Gueguen

Legouable

et al. 2021

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

View full text Add to dashboard Cite

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“…However, there is intracell interference, which reduces the bit rate. A standard approach to estimate the interference level is to consider the correlation between the user-channel matrices [3], [4], [5]. Our secondary objective is to check whether the correlation is a good indicator of the total system rate or not.…”

Section: Introductionmentioning

confidence: 99%

Study of MIMO Channel Matrices Correlation to Optimize Resource Allocation Algorithms in Multi-Users 5G

Manini

Gueguen

Legouable

et al. 2019

2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)

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Resource allocation is a major research field in wireless networks. The main challenge is to find the most suitable user for each time and frequency resource to reach the quality of service requirements. The necessity to always increase the capacity of wireless networks leads to systems using more and more antennas. Namely, the use of Massive-MIMO (Multiple Input Multiple Output) allows to simultaneously schedule several users on the same frequency resource. This is a new paradigm for resource scheduling. In this context, resource allocation algorithms have to include in their decision mechanism the choice of users association on the same time and frequency resource. A possible strategy, seen in the state of the art, is to base this user grouping on their channel-matrix correlation to minimize the interference level. In this paper we show the limited use of this approach in a system using block diagonal precoder.

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