Exploiting Cell-Free Massive MIMO for Enabling Simultaneous Wireless Information and Power Transfer
Diluka Loku Galappaththige, Rajan Shrestha, Gayan Amarasuriya Aruma, Baduge

TL;DR
This paper investigates how cell-free massive MIMO can enhance simultaneous wireless information and power transfer (SWIPT) by deriving energy and rate approximations, proposing power control policies, and comparing with co-located MIMO.
Contribution
It introduces new approximations, power control strategies, and performance analysis for SWIPT in cell-free massive MIMO systems, highlighting benefits over traditional co-located MIMO.
Findings
Cell-free massive MIMO improves energy-rate trade-off for SWIPT.
Max-min power control ensures user fairness in energy and rate.
Cell-free MIMO reduces path-losses and transmit power, boosting SWIPT performance.
Abstract
The performance of simultaneous wireless information and power transfer (SWIPT) in downlink (DL) cell-free massive multiple-input multiple-output (MIMO) is investigated. Tight approximations to the DL harvested energy and the DL/uplink (UL) achievable rates are derived for two practical channel state information (CSI) cases by using a non-linear energy harvesting model for time-switching and power-splitting protocols. Max-min fairness-based transmit power control policies are employed to mitigate the deleterious near-far effects caused by distributed transmissions/receptions in cell-free massive MIMO. The achievable common DL energy-rate trade-off is derived, and thereby, it is shown that the proposed max-min power control guarantees user-fairness regardless of near-far effects in terms of both harvested energy and achievable rate. The benefits of user estimated DL CSI to boost the…
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