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Theses

Decentralized coordination methods for beam alignment and resource allocation in 5G wireless networks

Abstract : In the context of 5G and 5G+ mobile networks, massive multi-antenna transmission is an established technique to manage multi-user interference and improve the network performance through beamforming and multiplexing gain. In the massive antenna regime, the leading forms of distributed cooperation that can be envisioned are i) the beam selection and alignment across multiple mobile users – in particular, at mmWave frequencies – and ii) the cooperation among base stations for user scheduling, whose centralized solution requires significant coordination and resource overhead. In this thesis, we focus on decentralized cooperative methods for massive multi-antenna transmission optimization that are implemented at the cooperating devicesthemselves.
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Submitted on : Friday, October 1, 2021 - 5:46:09 PM
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MASCHIETTI_Flavio_2019.pdf
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  • HAL Id : tel-03362568, version 1

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Flavio Maschietti. Decentralized coordination methods for beam alignment and resource allocation in 5G wireless networks. Signal and Image Processing. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS578⟩. ⟨tel-03362568⟩

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