User Grouping and Resource Allocation in Multiuser MIMO Systems under SWIPT
Javier Rubio, Antonio Pascual-Iserte

TL;DR
This paper investigates resource allocation and user grouping in multiuser MIMO systems with SWIPT, optimizing for data rates and energy harvesting constraints, and proposing a user scheduling mechanism.
Contribution
It introduces a novel two-stage user grouping method for scheduling information and energy harvesting users in SWIPT-enabled MIMO systems.
Findings
Optimal transmit covariance matrices derived for mixed user types
Tradeoff analysis between sum rate and harvested power using R-P region
Proposed user grouping mechanism improves system efficiency
Abstract
This paper considers a broadcast multiple-input multiple-output (MIMO) network with multiple users and simultaneous wireless information and power transfer (SWIPT). In this scenario, it is assumed that some users are able to harvest power from radio frequency (RF) signals to recharge batteries through wireless power transfer from the transmitter, while others are served simultaneously with data transmission. The criterion driving the optimization and design of the system is based on the weighted sum rate for the users being served with data. At the same time, constraints stating minimum per-user harvested powers are included in the optimization problem. This paper derives the structure of the optimal transmit covariance matrices in the case where both types of users are present simultaneously in the network, particularizing the results to the cases where either only harvesting nodes or…
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