Hybrid NOMA Offloading With Semi-Dynamic IRS Beamforming in Wireless Powered MEC Systems

To address the power and computation limitations of the Internet-of-Things (IoT) devices, this letter investigates integrating wireless power transfer (WPT) and mobile edge computing (MEC) with intelligent reflective surfaces (IRS) in 6G networks. An optimization problem is formulated to minimize the energy consumption of the access point (AP) for WPT while ensuring timely completion of task offloading by jointly optimizing the transmission power of the AP and IoT devices, and the IRS phase shifts and time allocation for downlink WPT and hybrid non-orthogonal multiple access (NOMA)-based uplink task offloading. By solving the problem, a hybrid NOMA offloading scheme in conjunction with a semi-dynamic IRS beamforming strategy to enhance spectral and energy efficiency. Simulations demonstrate its superiority or OMA-based offloading schemes over pure NOMA or OMA-based offloading schemes.