Fuzzy handoff algorithms for wireless communication

✍ Scribed by George Edwards; Abraham Kandel; Ravi Sankar

• Book ID: 104292851
• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 164 KB
• Volume: 110
• Category: Article
• ISSN: 0165-0114
• DOI: 10.1016/s0165-0114(98)00094-3

✦ Synopsis

In order to manage the high call density expected of future cellular systems, microcells must be used. A migration to microcells will increase the number of hando s, and require faster hando algorithms -in terms of decision making. In the case of line-of-sight transmission, it is important that the hando algorithm detects the cell boundary early enough, otherwise this will lead to channel dragging into the new cell subsequently increasing the chance of co-channel interference. In the case of non-line-of-sight transmission, a mobile station on turning a street corner will experience a phenomenon known as the Manhattan corner e ect that causes the received signal level to drop by 20 -30 dB in 20 -30 m. This corner e ect problem can lead to a loss of communication if not identiÿed early enough. This paper presents two new hando techniques using fuzzy logic as possible solutions to microcellular hando . The ÿrst algorithm uses an adaptive fuzzy predictor, while the second uses a fuzzy averaging technique. The results of the simulation show that fuzzy is a viable option for microcellular hando .