Artigo em revista científica Q1
System-level assessment of massive multiple-input–multiple-output and reconfigurable intelligent surfaces in centralized radio access network and IoT scenarios in sub-6 GHz, mm-Wave, and THz bands
João Pedro Pavia (Pavia, J. P.); Vasco Velez (Velez, V.); Nuno Souto (Souto, N.); Mário Marques da Silva (Silva, M. M. Da); Américo Correia (Correia, A.);
Título Revista
Applied Sciences
Ano (publicação definitiva)
2024
Língua
Inglês
País
Suíça
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Abstract/Resumo
In this article, we investigate in different scenarios the feasibility of using massive multiple-input–multiple-output (mMIMO) with reconfigurable intelligent surfaces (RISs) to increase the throughput and coverage with high energy efficiency, considering sub-6 GHz, mmWave, and THz bands. With that objective, a centralized radio access network (C-RAN) suitable for beyond fifth-generation (B5G) systems is considered, where we integrate the base stations (BSs) with multiple RISs and IoT devices or user equipment. RISs with a large number of quasi-passive reflecting elements constitute a low-cost approach capable of shaping radio wave propagation and improving wireless connectivity. We consider a scenario where multiple RISs are combined with mMIMO in the uplink in order to provide connectivity to a smart city (with thousands of active low-power IoT devices), wirelessly, in the 3.6 GHz and 28 GHz bands. We also address a scenario where RISs are adopted with mMIMO in the downlink so as to offer connectivity to a stadium with a pitch, (and thousands of active users’ equipment) in the 28 GHz band. Finally, we also studied the connectivity at 100 GHz of a factory in which several RIS panels, replacing most of the BSs equipped with mMIMO, assure improved throughput and coverage. We concluded that RISs are capable of improving the performance in any of these analyzed scenarios at the different frequency bands, justifying that they are a key enabling technology for 6G.
Agradecimentos/Acknowledgements
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Palavras-chave
RIS,Massive MIMO,System-level simulation,C-RAN,Precoding,B5G,IoT
  • Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia
Registos de financiamentos
Referência de financiamento Entidade Financiadora
UIDB/50008/2020 Fundação para a Ciência e a Tecnologia