DocumentCode :
845638
Title :
DOCSIS performance analysis under high traffic conditions in the HFC networks
Author :
Lee, Wei-Tsong ; Chung, Kun-Chen ; Chu, Kuo-Chih ; Pan, Jen-Yi
Author_Institution :
Dept. of Electr. Eng., Tamkang Univ., Taipei County, Taiwan
Volume :
52
Issue :
1
fYear :
2006
fDate :
3/1/2006 12:00:00 AM
Firstpage :
21
Lastpage :
30
Abstract :
Hybrid Fiber Coaxial (HFC) networks provide a wide bandwidth and represent the solution of choice for many residential networks nowadays. The Data Over Cable Service Interface Specification (DOCSIS) protocol is an important standard for HFC networks and is supported by the majority of current vendors. This protocol uses the Truncated Binary Exponential Back-off (TBEB) algorithm to resolve collisions within the network by means of a back-off window. However, the performance of this algorithm tends to deteriorate when the network load is high. Consequently, the present study develops a novel mathematical model for the TBEB algorithm and then uses this model to identify the window size which yields the optimal system throughput and minimum delay time under high traffic conditions. The present numerical results confirm that the performance is improved when the window settings identified from the developed model are applied.
Keywords :
hybrid fibre coax networks; protocols; telecommunication traffic; DOCSIS; HFC; TBEB; data over cable service interface specification protocol; hybrid fiber coaxial network; mathematical model; minimum delay time; performance analysis; traffic condition; truncated binary exponential back-off algorithm; Bandwidth; Coaxial cables; Coaxial components; Communication cables; Hybrid fiber coaxial cables; Mathematical model; Optical fiber cables; Performance analysis; Protocols; Telecommunication traffic; CATV; DOCSIS protocol; Hybrid Fiber Coaxial (HFC); MAC;
fLanguage :
English
Journal_Title :
Broadcasting, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9316
Type :
jour
DOI :
10.1109/TBC.2005.860539
Filename :
1599567
Link To Document :
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