Balancing Available Energy Distribution in Massive MIMO SWIPT Sensor Networks

Simultaneous wireless information and power transfer (SWIPT) has emerged as a promising technology for the Internet of Things (IoT) and energy-constrained devices. In such networks, sensor nodes (SNs) harvest energy from the access point’s (AP) downlink transmission and utilize the harvested energy for uplink data transmission. However, ensuring a fair distribution of available energy among the SNs remains a significant challenge. This paper aims to address this challenge by proposing an optimization algorithm for a SWIPT network with an AP and multiple SNs. We formulate and solve a maxmin optimization problem to fairly distribute the available energy among the SNs. The performance of the proposed algorithm is evaluated through simulations, demonstrating a more even and fair distribution of available energy among the SNs compared to the equal power case. The results highlight the effectiveness of the proposed optimization algorithm in improving the performance and fairness of SWIPT networks, paving the way for future research in this area.