Performance analysis of P2MP hybrid FSO/RF network

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dc.contributor.author Ansari, Yaseen Akbar
dc.date.accessioned 2017-12-20T17:54:39Z
dc.date.available 2017-12-20T17:54:39Z
dc.date.copyright 2017 en_US
dc.date.issued 2017-12-20
dc.identifier.uri https://dspace.library.uvic.ca//handle/1828/8891
dc.description.abstract Free space optics (FSO) technology is proving to be an exceptionally beneficial supplement to conventional Fiber Optics and radio frequency (RF) links. FSO and RF links are greatly affected by atmospheric conditions. Hybrid FSO/RF systems have emerged as a promising solution for high data rate wireless communication. FSO technology can be used effectively in multi-user scenarios to support Point-to-Multi-Point (P2MP) networks. In this work we present and analyse a P2MP Hybrid FSO/RF network that uses a number of FSO links for data transmission from the central node to different remote nodes of the network. A common backup RF link is used by the central node to transmit data to any of the remote nodes in case of failure of any FSO links. Each remote node is assigned a transmit buffer at the central node for the downlink transmission. We deploy a non-equal priority protocol and p-persistent strategy for nodes accessing the RF link and consider the back up RF transmission link with lower frame transmission rates as compared to the FSO link. Under different atmospheric conditions, we also study various performance metrics of the network. We study the throughput from the central node to the remote nodes individually as well as the following: the average transmit buffer size, the frame queuing delay in the transmit buffers, the efficiency of the queuing systems and the frame loss probability. en_US
dc.language English eng
dc.language.iso en en_US
dc.rights Available to the World Wide Web en_US
dc.subject Hybrid FSO/RF en_US
dc.subject Monte Carlo method en_US
dc.subject p-persistent en_US
dc.subject P2MP en_US
dc.subject FSO en_US
dc.title Performance analysis of P2MP hybrid FSO/RF network en_US
dc.type Thesis en_US
dc.contributor.supervisor Gebali, Fayez
dc.degree.department Department of Electrical and Computer Engineering en_US
dc.degree.level Master of Applied Science M.A.Sc. en_US
dc.description.scholarlevel Graduate en_US

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