Design of Mobile Computing and Communication Systems with Mobile Base Stations

大多数现有的移动计算系统模型都假定存在由高带宽有线骨干网连接的固定基站。这种系统不适合数字战场情况和应急响应行动。因此，需要具有移动基站的移动计算系统。这种系统的灵活性和健壮性是以增加复杂性为代价的。出现的一些问题是：(1)难以在所有时间向整个服务区提供蜂窝网络覆盖。蜂窝配置的改变使无线信道分配复杂化。此外，移动基站之间的通信链路还需要一些无线信道。与静态基站相比，移动基站及其之间的骨干链路资源贫乏。（iv）改变蜂窝配置使蜂窝之间的位置管理和通信切换变得更加复杂。为了解决上面提到的一些问题，将采取五个步骤的办法：(i)根据基台的移动模式正式确定移动计算系统的分类。发展具有不同基站移动特性的随机模型。（iii）利用分析结果开发用于小区规划、信道分配、位置管理和切换管理的分布式算法。（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，软件解决方案将被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.***