设计方案重用一直是方案设计领域中的难题,主要原因在于计算机不擅长处理方案设计过程中的抽象信息和无法实现设计方案的形式化表达。针对上述问题,在分析了大量设计语义后建立了设计语义元表,并通过语义元之间的挂靠操作实现了抽象设...设计方案重用一直是方案设计领域中的难题,主要原因在于计算机不擅长处理方案设计过程中的抽象信息和无法实现设计方案的形式化表达。针对上述问题,在分析了大量设计语义后建立了设计语义元表,并通过语义元之间的挂靠操作实现了抽象设计语义的具体化表达。在此基础上,通过建立方案树与/或关系运算规则实现了方案设计过程的形式化和设计结果的形式化。由于形式化的方案设计结果不仅表达了方案设计的原理解,而且隐含了方案设计的过程信息,因此较好地实现了对已有设计方案的多层次重用。上述理论和方法已经在DDMS(Draw-ing,design and management system)系统中实现。展开更多
To fully exploit the performance benefits of relay station （RS）, in the two-hop cellular networks covering hotspots, when the number of RSs is predetermined, both RS deployment and frequency reuse scheme are jointly...To fully exploit the performance benefits of relay station （RS）, in the two-hop cellular networks covering hotspots, when the number of RSs is predetermined, both RS deployment and frequency reuse scheme are jointly optimized for the purpose of maximizing the system capacity based on the constraints of system demand of capacity and the maximum number of outage demand nodes （MNDN）. Further, considering the overhead of increasing RSs, it is desired to use minimum number of RSs. The joint RS deployment and frequency reuse scheme （JRDFR） problem is formulated into a mixed integer nonlinear programming, which is non-deterministic polynomial-time hard in general. A heuristic approach based on genetic algorithm is proposed to tackle the JRDFR problem. The computational experiment of the heuristic approach is achieved and optimized RS deployment and frequency reuse scheme is obtained. Finally, we discuss the impacts of MNDN and the number of RSs on the system performance.展开更多
文摘设计方案重用一直是方案设计领域中的难题,主要原因在于计算机不擅长处理方案设计过程中的抽象信息和无法实现设计方案的形式化表达。针对上述问题,在分析了大量设计语义后建立了设计语义元表,并通过语义元之间的挂靠操作实现了抽象设计语义的具体化表达。在此基础上,通过建立方案树与/或关系运算规则实现了方案设计过程的形式化和设计结果的形式化。由于形式化的方案设计结果不仅表达了方案设计的原理解,而且隐含了方案设计的过程信息,因此较好地实现了对已有设计方案的多层次重用。上述理论和方法已经在DDMS(Draw-ing,design and management system)系统中实现。
文摘To fully exploit the performance benefits of relay station （RS）, in the two-hop cellular networks covering hotspots, when the number of RSs is predetermined, both RS deployment and frequency reuse scheme are jointly optimized for the purpose of maximizing the system capacity based on the constraints of system demand of capacity and the maximum number of outage demand nodes （MNDN）. Further, considering the overhead of increasing RSs, it is desired to use minimum number of RSs. The joint RS deployment and frequency reuse scheme （JRDFR） problem is formulated into a mixed integer nonlinear programming, which is non-deterministic polynomial-time hard in general. A heuristic approach based on genetic algorithm is proposed to tackle the JRDFR problem. The computational experiment of the heuristic approach is achieved and optimized RS deployment and frequency reuse scheme is obtained. Finally, we discuss the impacts of MNDN and the number of RSs on the system performance.
