Age of Information of Multi-User Mobile Edge Computing Systems

In this paper, we analyze the average age of information (AoI) and peak AoI (PAoI) a multiuser mobile edge computing (MEC) system where base station (BS) generates transmits computation-intensive packets to user equipments (UEs). MEC system, focus on three schemes: (i) The local scheme all computational tasks are computed by server at UE, (ii) BS, (iii) partial partially allocated rest server. Considering exponentially distributed transmission time computation adopting first come serve (FCFS) queuing policy, derive closed-form expressions for PAoI. To address complexity expression, simple upper lower bounds AoI, which allow us explicitly examine dependence optimal offloading decision parameters. Aided simulation results, verify our analysis illustrate impact parameters performance.