Task offloading and cross-layer resource allocation for mobile edge computing in NOMA multimode communication

In Distribution networks, as the rising of the dense subscribers, resource management becomes exceedingly complex. Meanwhile, Mobile edge computing (MEC) is considered as a technology to improve the quality of service of terminals by unloading their tasks to wireless networks. In multimode communication, Wireless Fidelity (Wi-Fi) is supposed to play a part of micro base stations, which can improve the coverage and increase users computing capacity. Exploiting these benefits, it is important to device effective and low energy consumption algorithms for resource allocation, we jointly consider exchange matching, task offloading decision, cross layer interference and resource allocation. Due to the combinatorial nature of task offloading and its strong coupling with resource allocation, optimization problems are challenging. Therefore, we decouple the problem into two sub problems, task offloading and resource allocation. an iterative based method is employed. Numerical results clarify the proposed approach, compared to other uninstallation strategies and task allocation strategies, can achieve a near optional performance.