Energy-efficient Mobile Edge Computation Offloading with Multiple Base Stations

Mobile edge computing (MEC) is a kind of technology which can provide computing service for users at the edge of mobile network. This technology can help mobile devices to save local computing of task and reduce energy consumption. Meanwhile, this technology can help to solve the problem of insufficient computing power of the Internet of things(IoT). This paper investigates this topic for the case of multiple base stations, in which one user uses time-division multiple access technology (TDMA) and frequency division multiple access technology (FDMA) transmission mode to offload data. Two systems with single user and several base stations are investigated and two optimization problems are formulated. The optimal optimization problem under TDMA transmission mode is a convex optimization problem, which is easy to solve. The optimization problem under FDMA transmission mode is non-convex. To solve the non-convex optimization problem, we decompose it into two layers. In the upper layer, the time for offloading data is optimized, while all the other parameters are optimized with the time for data offloading is fixed. The simulation result shows that the increase of the amount of base station can contribute to the decrease of energy consumption. TDMA mode is better compared with FDMA mode.