Fairness Scheduling in Dense User-Centric Cell-Free Massive MIMO Networks Article Swipe

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Fabian Göttsch , Noboru Osawa , Takeo Ohseki , Yoshiaki Amano , Issei Kanno , Kosuke Yamazaki , Giuseppe Caire · YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2211.15294

We consider a user-centric scalable cell-free massive MIMO network with a total of $LM$ distributed remote radio unit antennas serving $K$ user equipments (UEs). Many works in the current literature assume $LM\gg K$, enabling high UE data rates but also leading to a system not operating at its maximum performance in terms of sum throughput. We provide a new perspective on cell-free massive MIMO networks, investigating rate allocation and the UE density regime in which the network makes use of its full capability. The UE density $K$ approximately equal to $\frac{LM}{2}$ is the range in which the system reaches the largest sum throughput. In addition, there is a significant fraction of UEs with relatively low throughput, when serving $K>\frac{LM}{2}$ UEs simultaneously. We propose to reduce the number of active UEs per time slot, such that the system does not operate at ``full load'', and impose throughput fairness among all users via a scheduler designed to maximize a suitably defined concave componentwise non-decreasing network utility function. Our numerical simulations show that we can tune the system such that a desired distribution of the UE throughput, depending on the utility function, is achieved.

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preprint

Language

en

Landing Page

http://arxiv.org/abs/2211.15294

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https://arxiv.org/pdf/2211.15294

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green

Cited By

1

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10

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https://openalex.org/W4310426807

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https://openalex.org/W4310426807

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DOI

https://doi.org/10.48550/arxiv.2211.15294

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Title

Fairness Scheduling in Dense User-Centric Cell-Free Massive MIMO Networks

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Type

preprint

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Language

en

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Publication year

2022

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Publication date

2022-11-28

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Authors

Fabian Göttsch, Noboru Osawa, Takeo Ohseki, Yoshiaki Amano, Issei Kanno, Kosuke Yamazaki, Giuseppe Caire

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Landing page

https://arxiv.org/abs/2211.15294

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https://arxiv.org/pdf/2211.15294

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Yes

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green

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https://arxiv.org/pdf/2211.15294

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Concepts

Throughput, MIMO, Computer science, Scheduling (production processes), Scalability, User equipment, Maximum throughput scheduling, Computer network, Base station, Mathematical optimization, Telecommunications, Mathematics, Dynamic priority scheduling, Round-robin scheduling, Wireless, Operating system, Quality of service, Channel (broadcasting)

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Cited by

1

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2022: 1

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10

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