Base Station Allocation Policies for Mobile Communication System Considering Service Area Characteristics

Mobile phone networks are considered as one of the important infrastructures in our society.In cellular services，resource provided by a single base station is limited and the channel exhaustion in crowded cells is more frequent than in the cells with less number of users.Thus the accurate estimation for traffic demands in the service area is of great help for the base station allocation。The previous researches，performance evaluation are discussed analytically to evaluate the stochastic characteristics of channel occupancy time。We present a simulation system to model mobile user behavior in urban space including roads，railways，railway stations and traffic signals。This simulation system are made to analyze actual user situations which we can‘t deal analytical models，such as moving behavior of mobile users along roads，their group arrivals and departures by railways at stations.We observe mobile traffic，which changes with mobile user distribution and discuss the base station l…More ocation policy.By this simulation system，we observe several cell location patterns in a service area。In our simulation system，we can deal with arrival of group users at stations and crosswalks，·spatial distribution of users，moving users along roads and buildings and fluctuation of these distributions from time to time，·call retrials which arrive independently after preceding call failures.We developed pedestrian model in urban space considering congestions in downtown at crosswalks with traffic signals and stations.The variations of users with different call behavior features and moving types are generated by given scenarios written in a simple macro-language developed for this system。By use of scenarios，the simulation gets enough flexibility to deal with various situations easily。Our simulation system has a simple editor to draw road maps with signals and railway stations。This editor is also used to allocate base stations in a service area map to examine variations of cell location patterns with different number of channels.A graphical user interface and visualization system show user moving on the roads and helps us to understand how the simulation works and the traffic fluctuations in cells in a service area.By using this system，the group arrival of users by commuter train causes estimation error in call loss probability。As analytical evaluations for mobile communication networks，bounds for call completion probabilities in large-scale mobile communication networks by decomposition type approximation methods is discussed by Takahashi and Katou dealed with upper bound for the decay rate of the marginal queue-length distribution in a two-node Markovian queueing system which are also useful for exact estimation for performance evaluations for mobile communication networks。Less：Less

Mobile phone networks are considered as one of the important infrastructures in our society. In cellular services, resource provided by a single base station is limited and the channel exhaustion in crowded cells is more frequent than in the cells with less number of users. Thus the accurate estimation for traffic demands in the service area is of great help for the base station allocation. The previous researches, performance evaluation are discussed analytically to evaluate the stochastic characteristics of channel occupancy time. We present a simulation system to model mobile user behavior in urban space including roads, railways, railway stations and traffic signals. This simulation system are made to analyze actual user situations which we can't deal analytical models, such as moving behavior of mobile users along roads, their group arrivals and departures by railways at stations. We observe mobile traffic, which changes with mobile user distribution and discuss the base station l … More ocation policy. By this simulation system, we observe several cell location patterns in a service area. In our simulation system, we can deal with arrival of group users at stations and crosswalks,・spatial distribution of users, moving users along roads and buildings and fluctuation of these distributions from time to time,・call retrials which arrive independently after preceding call failures.We developed pedestrian model in urban space considering congestions in downtown at crosswalks with traffic signals and stations. The variations of users with different call behavior features and moving types are generated by given scenarios written in a simple macro-language developed for this system. By use of scenarios, the simulation gets enough flexibility to deal with various situations easily. Our simulation system has a simple editor to draw road maps with signals and railway stations. This editor is also used to allocate base stations in a service area map to examine variations of cell location patterns with different number of channels. A graphical user interface and visualization system show user moving on the roads and helps us to understand how the simulation works and the traffic fluctuations in cells in a service area. By using this system, the group arrival of users by commuter train causes estimation error in call loss probability. As analytical evaluations for mobile communication networks, bounds for call completion probabilities in large-scale mobile communication networks by decomposition type approximation methods is discussed by Takahashi and Katou dealed with upper bound for the decay rate of the marginal queue-length distribution in a two-node Markovian queueing system which are also useful for exact estimation for performance evaluations for mobile communication systems. Less