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Abstrak :
Contents : - Chapter One: Executive Summary - Chapter Two: Key New Satellite Technologies and Systems Trends - Chapter Three: Emerging Satellite Markets: 2000 - 2010 - Chapter Four: Analyzing Satellite Customer and Business Demand - Chapter Five: Satellite Economics and Key Consumer Issues - Chapter Six: Institutional Changes and Major Policy Issues - Chapter Seven: International Trends, Frequency Allocations, and Regulatory Issues - Chapter Eight: International Delphi Survey Results—Key Trends for the Future - Chapter Nine: Final Analysis and Conclusions - Appendix: Satellite and Ground-Segment Technology and Services - Acronym Guide - Glossary - Selected Bibliography

Abstrak :
Contents : - PCS versus Cellular - Wireless-Wireline Pricing - RHCs in Wireless - Wireless-Wireline Revenues - Wireless-Wireline Rates - Wireless Local Loop - Likelihood of New Telephony Subscribers Choosing Wireless - Wireless versus Fiber - Wireless versus Public Telephones - CDMA versus GSM - PCS and New Subscribers - PCS versus Cellular for Mobile Businesses - Price Harmonization - Broadband Wireless - Information Services and the Internet - Information Services and the Internet: IP Telephony - Internet Revenue - Sales over the Internet - Video-on-Demand - Telecommuting - E-commerce - Financial Services - Automobiles - Gifts - Groceries - On-Line Banking - Inventory Control - Digital Television and HDTV - Information-Industry Growth - Video - On-line Catalog Retail - E-Education - Alliances - Science, Technology, and Applications: Telecommunication Equipment Manufacturing Countries - Switches - ADSL, xDSL, and ISDN - Open Network Architecture - Software Defined Networks - Caller ID - Switch Market and Manufacturers - Packet Switches - ISDN and BISDN Usage - Fiber Optics - Private and Shared Public Networks - Participating Organizations - APPENDIX I: TOR99 Participating Organizations - Qualitative Questionnaire - APPENDIX II: Qualitative Questionnaire - Questionnaire-Development Process - APPENDIX III: TOR99 Questionnaire-Development Process - Experts-Selection Procedure - APPENDIX IV: TOR99 Experts-Selection Procedure - Procedure for Analysis - APPENDIX V: The Procedure for Analysis of the Telecom Outlook Report - Summary of Findings of TOR97 - APPENDIX VI: Summary of Findings of TOR97 - History of the Internet - APPENDIX VII: History of the Internet* - Transmission Technologies - APPENDIX VIII: Transmission Technologies* - Transmission Technologies - About the Authors

Abstrak :
Pada penelitian ini diusulkan peramalan trafik jaringan menggunakan Artificial Neural Network dengan model Nonlinear Autoregressive. Model prediksi beban trafik dilakukan dalam tiga skenario yaitu tanpa input eksogen, dengan input eksogen jumlah pelanggan, dan dengan input eksogen jumlah pelanggan dan inflasi. Hasil penelitian dengan nilai MAPE dan MSE terkecil terdapat pada prediksi beban trafik dengan input eksogen jumlah pelanggan. Pada penelitian diprediksi beban trafik hingga l tahun kedepan untuk dapat merencanakan pembangunan dan peningkatan kapasitas node-b/ BTS 3G. Diharapkan dengan melakukan peramalan penggunaan-jaringan-oleh-pelanggan akan menghasilkan estimasi akurat permintaan kebutuhan pelanggan di masa mendatang sehingga organisasi dapat melakukan strategi yang tepat dalam merencanakan peningkatan kapasitas demi menjaga 4aality ofservice. ......This research proposed network traffic forecasting using Artificial Neural Network with Nonlinear Autoregressive models. The traffic load prediction model is done in three scenarios: without exogenous input, with the input of exogenous number of customers, and with exogenous inputs the number of subscribers and inflation. The smallest MAPE and MSE values are in the traffrc load prediction with subscribers as exogenous inputs. The traffic load is predicted up to 1 year ahead in order to plan the development and improvement of the capacity of the node-b / 3G base stations. By forecasting the network usage generate by the customer, we expect to have an accurate estimated demand of customer needs in the future so that the organization can perform the right strategy for planning the capacity to maintain the quality of service.