DocumentCode :
3088981
Title :
A Handoff Scheme Using Movement Prediction in Radio over Fiber Indoor Network at 60 GHz
Author :
Bien, Van Quang ; Prasad, R. Venkatesha ; Niemegeers, Ignas
Author_Institution :
Electr. Eng., Math., Comput. Sci. Fac., Delft Univ. of Technol., Delft, Netherlands
fYear :
2011
fDate :
22-25 March 2011
Firstpage :
664
Lastpage :
669
Abstract :
In-home networking is becoming a reality. New multimedia applications envisaged for in-home networks require data rates of hundreds of Mbps. In order to provision these applications, wireless networks should provide the user with high speed transmission using short-range Gbps wireless technology. With its unlicensed 5 GHz of spectrum, 60 GHz is envisaged for indoor broadband wireless networks. However, handoff in 60 GHz network occurs with a high rate due to the smaller cell size while using 60 GHz. Thus, the resources in such network vary frequently. So providing QoS guarantees in this network is more difficult than in traditional wireless networks. In this paper, we propose the handoff scheme using movement prediction. The prediction model is based on Hidden Markov Model. The simulation results show that the proposed scheme performs well compared to the two schemes in literature in terms of the call dropping probability and the call blocking probability.
Keywords :
broadband networks; indoor communication; probability; quality of service; radio-over-fibre; Hidden Markov Model; QoS; call blocking probability; call dropping probability; frequency 5 GHz; frequency 60 GHz; handoff scheme; high speed transmission; in-home networks; indoor broadband wireless networks; indoor network; movement prediction; multimedia applications; radio over fiber; short-range wireless technology; Antennas; Bandwidth; Computer architecture; Hidden Markov models; Microprocessors; Mobile communication; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications (WAINA), 2011 IEEE Workshops of International Conference on
Conference_Location :
Biopolis
Print_ISBN :
978-1-61284-829-7
Electronic_ISBN :
978-0-7695-4338-3
Type :
conf
DOI :
10.1109/WAINA.2011.131
Filename :
5763536
Link To Document :
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