Design of Mobile Computing and Communication Systems with Mobile Base Stations

移动的计算系统的大多数现有模型假定存在由高带宽有线网络骨干连接的固定基站。这种系统不适合数字化战场情况和应急响应行动。因此，需要具有移动的基站的移动的计算系统。这种系统的灵活性和鲁棒性是以增加复杂性为代价的。出现的一些问题是：（i）难以始终向整个服务区域提供蜂窝覆盖。(ii)改变小区的配置使无线信道分配复杂化。而且，需要一些无线信道用于移动的基站之间的通信链路。(iii)移动的基站和它们之间的骨干链路与它们的静态对应物相比资源贫乏。(iv)改变蜂窝配置使得小区之间的位置管理和通信切换更加复杂。 为了解决上述一些问题，将采用五步方法：（i）基于基站的移动性模式，形式化移动的计算系统的分类法。(ii)发展具有不同基地台移动特性的随机模型。 (iii)将分析结果应用于小区规划、信道分配、位置管理和切换管理的分布式算法的开发。 (iv)仿真实验来衡量这些算法的性能。(v)算法的软件实现。如果时间和资源允许，软件解决方案将移植到现成的计算和无线通信设备上。

Most existing models of mobile computing systems assume the presence of stationary base stations connected by a high bandwidth wireline network backbone. Such systems are not suitable for digital battlefield situations and emergency response operations. Hence, there is a need for mobile computing systems with mobile base stations. The flexibility and robustness of such systems is at the cost of increased complexity. Some of the problems that arise are: (i) Difficulty in providing cellular coverage to the entire service area all the time. (ii) Changing configuration of cells complicates wireless channel allocation. Also, some wireless channels are needed for communication links between the mobile base stations. (iii) Mobile base stations and the backbone links between them are resource poor compared to their static counterparts. (iv) Changing cellular configuration makes location management and communication handoffs between cells more complicated. In order to solve some of the problems mentioned above, a five step approach will be adopted: (i) Formalization of a taxonomy of mobile computing systems based on the mobility pattern of base stations. (ii) Development of stochastic models with different base station mobility characteristics. (iii) Employment of analytical results in the development ofdistributed algorithms for cell planning, channel allocation, location management, and handoff management. (iv) Simulation experiments to measure the performance of these algorithms. (v) Software implementations of the algorithms. Time and resource permitting, the software solutions will be ported to off-the-shelf computation and wireless communication devices.***