Collaborative Service Placement and Request Scheduling in Mobile Edge Networks

Mobile Edge Computing (MEC) is a promising technology in mobile communication networks. To improve the computing service efficiency of MEC, the service placement of base stations (BSs) and the request scheduling of user equipment (UEs) should be jointly optimized. This paper considers the Collaborative Service Placement and Request Scheduling (CSPRS) problem in mobile communication networks, considering that the BSs can cooperate with each other over both wireless links and backhaul network. This paper models the CSPRS problem as a nonlinear programming problem and proposes a two-step heuristic algorithm to solve it. Simulation results show that the algorithm proposed in this paper can improve the service efficiency of MEC and increase the total data traffic of service requests that served by the BSs. Thus, the data traffic of service requests that need to be forwarded to the cloud is reduced.