| Mobile edge computing(MEC)refers to the provision of IT service environment and cloud computing capabilities at the edge of the mobile network close to the user end,thereby creating a high-performance,low-latency and high-bandwidth network service environment,which greatly improves the users' network experience.However,since MEC platforms migrate some network service to the network edge and computing offload can be performed at the network edge,the function of service charging is difficult to be realized.In response to this shortcoming,this paper studies the charging problem of the local offloading of data service in the MEC system between two wireless operators,aimed at the strategic users in the wireless heterogeneous network.The operators provide the price of edge data service at each time node according to users' strategic level,the number of users,and the difference of edge data service provided by the two operators.This research provides a new solution of the charging problem during the deployment of the MEC platform in the wireless heterogeneous network environment.This paper provides two pricing schemes,competitive pricing and cooperative pricing,and makes a comparative analysis.1)In the competitive pricing scheme,the pricing problem of edge data service is modeled as a finite horizon dynamic game between two operators,and backward induction is used to find the Markov perfect equilibrium(MPE)pricing strategy of the operators at each stage and the expected equilibrium profit.2)In the cooperative pricing scheme,this paper firstly analyzes the equilibrium price of the operator committing to static pricing strategy,then models the pricing problem as the profit maximization problem of the operator committing to the dynamic pricing strategy,and the optimal pricing strategy profiles of the operators are solved by the recursive algorithm.3)By the numerical simulation and analysis,this paper compares the expected equilibrium profits of two operators between the competitive pricing scheme and the cooperative pricing scheme,and the results show that when the operator providing high-rate edge data service commits to the static pricing strategy in the cooperative pricing scheme,the expected equilibrium profits for both operators are the highest. |
