DocumentCode
338288
Title
Forecasting methodology and traffic estimation for satellite multimedia services
Author
Abaye, Ali R. ; Babbitt, Jeff ; Best, Bob ; Hu, Rose Q. ; Maveddat, Payam
Author_Institution
Nortel Networks, Richardson, TX, USA
Volume
2
fYear
1999
fDate
1999
Firstpage
1084
Abstract
Broadband satellite networks are a mandatory complement to the terrestrial facility to build up the information infrastructure, especially for unserved and underserved regions of the world. This paper applies the generalized bass model (GBM) to estimate the number of multimedia subscribers for specified services. Because of varying demographics, economics, and interests, countries are grouped into several “regions”, and a different model is used for each service, and for each region. The models also include the effect of price elasticity. An analysis of competing emerging broadband access technologies is performed and the market share for satellite-based services is estimated. The subscribers representing the satellite share of the market for each service are then geographically distributed across each region. The resulting subscriber distribution is used to generate hourly point-to-point traffic. In this paper, only methodologies for market forecast and traffic estimation are discussed
Keywords
broadband networks; multimedia communication; radio access networks; satellite communication; subscriber loops; telecommunication traffic; GBM; access technologies; broadband satellite networks; forecasting methodology; generalized bass model; hourly point-to-point traffic; multimedia subscribers; price elasticity; satellite multimedia services; subscriber distribution; traffic estimation; Bandwidth; Downlink; Economic forecasting; Fuzzy neural networks; History; Hybrid intelligent systems; Satellites; Technology forecasting; Telecommunication traffic; Telemedicine;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 1999. ICC '99. 1999 IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-5284-X
Type
conf
DOI
10.1109/ICC.1999.765448
Filename
765448
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