Wireless ATM network management modeling
| dc.contributor.author | Sheng, Wenbo | en_US |
| dc.date.accessioned | 2007-05-17T12:37:52Z | |
| dc.date.available | 2007-05-17T12:37:52Z | |
| dc.date.issued | 1998-04-01T00:00:00Z | en_US |
| dc.degree.discipline | Electrical and Computer Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | Wireless personal communication services (PCS) and broadband networking for delivery of multimedia information represent two well-established trends in telecommunications. Given that ATM is now viewed as a universal base technology for broadband networks, it is reasonable to consider extension of standard ATM services into next-generation microcellular wireless and PCS scenarios. In this M. Sc. thesis, I focus on the mobility management and quality of service (QoS) management in such a wireless ATM system. Several algorithms are investigated for the wireless ATM model, which were developed within OPNET. One is an error-free handoff algorithm that allows data to follow the mobile user. When a mobile user moves from one micro-cell to another, the error-free handoff algorithm is implemented to guarantee continuous communication without loss of packets. A replication algorithm was implemented when the user transmits a handoff request to make the data available at the next location of the mobile user. Dynamic-power-control and automatic-frequency-hopping algorithms were investigated to guarantee the quality of ser ice. When at least one channel is idle, the automatic-frequency-hopping algorithm is implemented to avoid interference. If there are not enough channels to hop to, a dynamic-power-control algorithm is used to ensure the quality of service. The decision control algorithm is neural network based. Simulation studies indicate that the intelligence of a neural network provides for more efficient management than alternative techniques. Finally, a variance fractal dimension method was investigated to estimate the traffic and provide control descriptors, which can be used to make network management more efficient. | en_US |
| dc.format.extent | 5216950 bytes | |
| dc.format.extent | 184 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | text/plain | |
| dc.identifier.uri | http://hdl.handle.net/1993/1478 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.title | Wireless ATM network management modeling | en_US |
| dc.type | master thesis | en_US |