Exploiting NOMA into socially enabled computation offloading
Yutong Ai, Li Wang, Bingli Jiao, Kwang‐Cheng Chen · 2017
Recently, mobile cloud computing (MCC) is drawing substantial attention due to potential reduction on local energy consumption and local execution time. To further satisfy the requirement of latency-intensive applications in the future, fog computing is proposed to take full advantages of close-by nodes with available resources, thus decreasing the transmission time during computation offloading. This paper jointly considers nearby nodes and network edge base station in fog computing to provide a mutually complementary service, making the computation resources fully utilized. Furthermore, non-orthogonal multiple access (NOMA) has been introduced as a transmission technology to support high spectrum efficiency and low latency. Consequently, a new technology challenge regarding latency minimization can be facilitated as a computational offloading using NOMA. By further leveraging the concept of social networks, we therefore propose a social trust based NOMA cooperative computation offloading algorithm (SNOMA-COA) to minimize the completion time of system. Simulation results demonstrate that the proposed algorithm achieves the goal to effectively reduce system latency by offloading computation.