Abstract
Optical networks provide fast, efficient, and reliable access to clusters of end users, and at the same time can guarantee the quality of service. A novel access optical architecture is presented that takes advantage of the latest developments in access networks, utilizes high bandwidth, and scales according to its served customers. Penetration, scalability, geographical and population studies are conducted to ensure it fulfills its purpose. Prediction and aggregation of traffic data are studied along with the proposed architecture to expand the exploitation of its capabilities. Finally, a new bandwidth allocation method is presented that is tuned to provide performance under this network architecture.
Original language | English |
---|---|
Title of host publication | Smart Cities and Homes |
Subtitle of host publication | Key Enabling Technologies |
Editors | Mohammad S. Obaidat, Petros Nicopolitidis |
Place of Publication | Cambridge MA USA |
Publisher | Elsevier |
Chapter | 11 |
Pages | 219-239 |
Number of pages | 21 |
Edition | 1st |
ISBN (Electronic) | 9780128034637 |
ISBN (Print) | 9780128034545 |
DOIs | |
Publication status | Published - 13 May 2016 |
Externally published | Yes |
Keywords
- Optical access networks
- Xg-pon
- Panda
- Dba
- Traffic prediction