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

移动电话网络是我们社会中最重要的基础设施之一。在蜂窝服务中，由单个基站提供的资源是有限的，拥挤的蜂窝中的通道消耗比使用者数量少的蜂窝更频繁。因此，对服务区域中的交通需求的准确估计对基站分配有很大的帮助。在上一个研究中，性能评估是通过分析来评估信道占用时间的随机特征。我们为城市空间提供了一个模拟系统，以模拟移动用户行为，包括道路、铁路、铁路站和交通信号。这个模拟系统是用来分析我们无法达成的实际用户情况的分析模型，这样移动移动用户的行为，他们的群体到达和离开铁路站。我们关注移动交通，与移动用户分布和讨论基站的变化 ... More 使用政策。通过这个模拟系统，我们可以在服务区域观察几个单元位置模式。在我们的模拟系统中，我们可以在车站和交叉交换器到达群体用户，·用户的空间分布，移动用户沿着路线和建筑物以及从时间到时间的流动，·调用检索任何在预先到达呼叫失败后到达的地方。我们在市中心开发了一个带交叉交换器的城市空间考虑到并发症的行人模型。具有不同呼叫行为特征和移动类型的用户的变体是由为这个系统开发的一个简单的宏语言而生成的。由于使用了场景，模拟变得足够灵活，可以轻松地处理各种情况。我们的模拟系统有一个简单的编辑器来绘制带有信号和铁路站的路线图。本编辑器还用于在服务区域地图上分配基站，以测试不同通道数目的细胞位置模式的变异。一个图形用户界面和可视化系统显示用户在道路上移动并帮助我们了解模拟工作和在一个服务区域中的流量流量。由于使用这个系统，一组用户将到达由通勤列车引起的估计错误在呼叫损失可能性。作为移动通信网络的分析评估，通过分解类型近似方法对大规模移动通信网络中的呼叫完成可能性的绑定，Takahashi和Katou解释了上绑定，用于在一个两节点的Markovian队列系统中的边际队列长度分布的延迟率也是有用的，因为在移动通信系统中性能评估的准确估计也是有用的。Less（低）

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