Abstract
In this paper, the performance of simultaneous wireless information and power transfer (SWIPT) for training-based cell-free massive multiple-input multiple-output (MIMO) is investigated. The key idea is to simultaneously transmit information and power via a larger number of spatially-distributed single antenna access points (APs) towards geographically-distributed single-antenna information/energy users. The APs are connected to a central processing unit via a backhaul network and perform conjugate beamforming precoding in downlink (DL) and matched filtering decoding in uplink (UL). The achievable harvested energy and the achievable DL/UL rates are derived in closed-form. Thereby, the DL/UL energy-rate trade-offs are quantified. Our analysis reveals that cell-free massive MIMO can boost the performance of SWIPT by leveraging the benefits of distributed transmission/reception with large number of APs.
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