Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pair Fog-Computing Networks

The energy-efficient task offloading problem of a massive multiple-input multiple-output (MIMO)-aided fog computing system is solved, where multiple nodes offload their computational tasks to be solved via MIMO-aided access node processing in the for execution. By considering realistic imperfect channel state information (CSI), we formulate joint and power allocation minimizing total energy consumption, including both computation communication consumptions. We solve resultant non-convex optimization two steps. First, resource given allocation. Then, conceive sequential framework determining specific decision that minimizes consumption node. Given tasks, resources, allocation, propose an iterative algorithm optimization. simulation results show proposed scheme significantly reduces compared benchmark schemes.