On-Request Wireless Charging and Partial Computation Offloading In Multi-Access Edge Computing Systems

Wireless charging coupled with computation offloading in edge networks offers a promising solution for realizing power-hungry and intensive applications on user-devices. We consider multi-access computing (MEC) system collocated MEC server base-station/access point (AP), each equipped massive MIMO antenna array, supporting multiple users requesting data wireless charging. The goal is to minimize the energy consumption maximize received at user from proposed novel two-stage algorithm employing nested descent algorithm, primal-dual subgradient linear programming techniques perform partitioning time allocation design optimal beamforming charging, all within MEC-AP transmit power latency constraints. Algorithm results show that significantly outperforms other schemes such as isotropic or directed without beam allocation. Compared binary offloading, partition partial leads lower more time, resulting better performance. charged over an extended period of time-slots both can be substantial. thus viable untethered approach supplying