The Handoff of Mobile Communications Using Two-Stage Fuzzy Inference Rules

• Main Authors: Long-Chi Yang, 楊隆吉
• Other Authors: Robert Lai
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/89177860945809351694

碩士 === 元智大學 === 電資與資訊工程研究所 === 86 === With the rapid development of wireless communication technology, the amounts of users for mobile communication system increase dramatically. But, due to fact that it has the limited frequency resource and it can not be expanded arbitrarily, the system capacity has tended to be saturated. If the cell splitting method is used to resolve the system capacity for expansion, it would easily introduce handoff blocking. This thesis proposes a two-stage fuzzy inference rules applied to handoff in mobile communications. Besides to reduce classical manpower trial error setup effort, the distributed two-stage process can ease access procedure, and at the same time, it also reduces the memory space and cost. This study uses two-stage fuzzy inference rules to execute computer simulation for handoff performance, in fact, the adjusted and setup handoff parameters includes the probability of handoff call attempt failure, new call blocking probability, total carried traffic, new call no blocking probability, handoff call blocking probability, mean rejected traffic of handoff call, and mean handoff carried traffic. The simulation results show that the two-stage fuzzy inference rules is superior to the single stage fuzzy inference rules and the classical two value logic Especially there are two satisfied results depicted, these are the performance of handoff call blocking probability increases by 6.7﹪and the performance of new call no blocking probability increases by 5.9﹪.