SWIPT-Enhanced Cell-Free Massive MIMO Networks

Simultaneous wireless information and power transfer (SWIPT) has been advocated as a highly promising technology to provide near- perpetual operation to low-powered wireless devices in Internet-of-Things (IoT)-based wireless networks. In this paper, a SWIPT-enhanced cell-free massive MIMO network is...

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Detalles Bibliográficos
Autores: Femenias Nadal, Guillem, García Morales, Jan, Riera Palou, Felip
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Rey Juan Carlos
Repositorio:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/27096
Acceso en línea:https://hdl.handle.net/10115/27096
Access Level:acceso abierto
Palabra clave:SWIPT-based system
wireless power transfer
energy harvesting
cell-free
massive MIMO
Descripción
Sumario:Simultaneous wireless information and power transfer (SWIPT) has been advocated as a highly promising technology to provide near- perpetual operation to low-powered wireless devices in Internet-of-Things (IoT)-based wireless networks. In this paper, a SWIPT-enhanced cell-free massive MIMO network is proposed. In such a network, a large set of spatially distributed access points (APs) interconnected via a central processing unit (CPU) can collaboratively serve a large number of both energy harvesting mobile stations (MSs) (requiring wireless energy transfer) and conventional MSs (not requiring wireless energy transfer) on the same time-frequency resources. We consider spatially correlated Rician fading channels and the use of different precoding schemes that are based on different channel estimators differing on the assumed knowledge of the line-of-sight component. Mathematically manageable expressions are derived for the harvested energy during the downlink (DL) energy harvesting phase and the achievable spectral and energy efficiencies during the uplink (UL) payload transmission phase. A coupled UL/DL optimization problem is formulated aiming at finding the power control coefficients that maximize the minimum of the weighted achievable UL signal-to-interference-plus-noise ratios (SINRs) of all MSs. Extensive numerical results are presented that serve to highlight the existing trade-offs among the achievable spectral and energy efficiencies, the harvested energy, the energy dedicated to UL pilot transmission or the system configuration.