Joint Offloading and Energy Harvesting Design in Multiple Time Blocks for FDMA Based Wireless Powered MEC

The combination of mobile edge computing (MEC) and wireless power transfer (WPT) is recognized as a promising technology to solve the problem limited battery capacities insufficient computation capabilities devices. This can energy users by radio frequency (RF) in powered computing. user converts harvested energy, stores it battery, utilizes execute corresponding local offloading tasks. paper adopts Frequency Division Multiple Access (FDMA) technique achieve task from multiple devices MEC server simultaneously. Our objective study multiuser dynamic joint optimization resource allocation under time blocks maximizing residual energy. To this end, we formalize nonconvex that jointly optimizes number offloaded bits, harvesting time, transmission bandwidth. We adopt convex technology, combine with Karush–Kuhn–Tucker (KKT) conditions, finally transform into univariate constrained problem. Furthermore, problem, propose combined method Bisection sequential unconstrained minimization based on Reformulation-Linearization Technique (RLT). Numerical results demonstrate performance our outperforms other benchmark schemes for maximization Besides, algorithm maximize reduce complexity, improve efficiency.