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引用次数: 0
摘要
研究了采用遗传算法集成和不采用遗传算法集成的信道分配策略的电信业务性能。将遗传算法(GA) D. Goldberg(1989)和J.H. Holland(1975)这一解决各类复杂数学问题的著名方法整合到普通信道分配策略中，设计出既满足电磁兼容性约束又满足流量需求要求的无冲突信道分配策略W.K. Lai等(1996)。远程通信性能是基于移动蜂窝系统的服务等级(GoS)，可以通过Erlang-B和仿真来预测。预测结果与仿真数据吻合较好。仿真结果表明，遗传算法从阻塞概率和C/I(载波干扰比)中值两方面提高了蜂窝无线电系统的服务等级。
Teletraffic performance of mobile cellular channel assignment using genetic algorithm
Teletraffic performance of channel assignment strategy with and without genetic algorithm (GA) integration is presented in this paper. Genetic algorithm (GA) D. Goldberg (1989) J.H. Holland (1975) which is a well-known method in solving various types of complex mathematical is integrated into ordinary channel assignment strategies to design a conflict-free channel assignment strategy that satisfies both the electromagnetic compatibility (EMC) constraints and traffic demand requirements W.K. Lai et al. (1996). The teletraffic performance is based on grade of service (GoS) of mobile cellular-system that can be predicted using Erlang-B and through simulation. Good agreement is obtained between the predicted results and simulation data. The simulation results show that GA has improved the GoS (grade of service) of cellular radio system in the aspect of blocking probability and C/I (carrier-to-interference ratio) median in mobile cellular system.
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