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Multi-User collaborative scheduling in 5G massive MIMO heterogeneous networks

Abstract : Macro cell densification with Small Cells (SCs) is an effective solution to cope with traffic increase. To fully benefit from the additional SCs capacity, interference mitigation techniques are needed. Densification in 5G networks with Massive Multiple Input Multiple Output (M-MIMO) deployment needs to rethink interference mitigation to account for highly focused beams and MultiUser (MU) scheduling. This paper presents a low complexity collaborative Proportional Fair (PF) based scheduling that maximizes the throughput and improves fairness of the heterogeneous network. The solution is based on the calculation of a loss factor indicator that each SC provides to the macro cell at each scheduling period. These indicators allow the macro cell MU scheduler to efficiently select the set of users for scheduling, leading to a significant improvement in performance. Numerical results illustrate the interest of the collaborative solution.
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https://hal.inria.fr/hal-02566253
Contributor : Eitan Altman <>
Submitted on : Wednesday, May 6, 2020 - 10:33:02 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:51 PM

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  • HAL Id : hal-02566253, version 1

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Marie Masson, Zwi Altman, Eitan Altman. Multi-User collaborative scheduling in 5G massive MIMO heterogeneous networks. IFIP, Jun 2020, Paris, France. ⟨hal-02566253⟩

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