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Multi-antenna methods for scalable beyond-5G access networks

Abstract : The exponential increase of wireless user equipments (UEs) and network services associated with current 5G deployments poses several unprecedented design challenges that need to be addressed with the advent of future beyond-5G networks and novel signal processing and transmission schemes. In this regard, massive MIMO is a well-established access technology, which allows to serve many tens of UEs using the same time-frequency resources. However, massive MIMO exhibits scalability issues in massive access scenarios where the UE population is composed of a large number of heterogeneous devices. In this thesis, we propose novel scalable multiple antenna methods for performance enhancement in several scenarios of interest. Specifically, we describe the fundamental role played by statistical channel state information (CSI) that can be leveraged for reduction of both complexity and overhead for CSI acquisition, and for multiuser interference suppression. Moreover, we exploit device-to-device communications to overcome the fundamental bottleneck of conventional multicasting. Lastly, in the context of millimiter wave communications, we explore the benefits of the recently proposed reconfigurable intelligent surfaces (RISs). Thanks to their inherently passive structure, RISs allow to control the propagation environment and effectively counteract propagation losses and substantially increase the network performance.
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Submitted on : Thursday, September 22, 2022 - 11:17:43 AM
Last modification on : Monday, September 26, 2022 - 4:42:16 PM


Version validated by the jury (STAR)


  • HAL Id : tel-03783487, version 1


Placido Mursia. Multi-antenna methods for scalable beyond-5G access networks. Multiagent Systems [cs.MA]. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS532⟩. ⟨tel-03783487⟩



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