2021/05/25 by Guillem Femenias, Jan García-Morales, Felip Riera-Palou
Engineering · #Advanced MIMO Systems Optimization #Antenna Design and Analysis #Energy Harvesting in Wireless Networks #eess.SP
paper · pdf · doi:10.1109/tcomm.2021.3083644
published as G. Femenias, J. García-Morales and F. Riera-Palou, "SWIPT-Enhanced Cell-Free Massive MIMO Networks," in IEEE Transactions on Communications, vol. 69, no. 8, pp. 5593-5607, Aug. 2021 · Author Accepted Manuscript. Published in IEEE Transactions on Communications. The final published version is available at: https://doi.org/10.1109/TCOMM.2021.3083644. Copyright © 2021 IEEE
openalex publication_date 2021/05/25 · openalex created_date 2025/10/10 · arxiv created 2026/07/28 · arxiv updated 2026/07/30 · openalex updated_date 2026/07/31
Simultaneous wireless information and power transfer (SWIPT) has been advocated as a highly promising technology to provide near-perpetualoperation 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 theachievablespectral 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.