A multi-faceted approach to forecasting broadband demand and traffic

Hopkins, Michael D.; Louth, G.; Bailey, H.; Yellon, R.; Ajibulu, Ade; Niva, M.

doi:10.1109/35.350374

Cited by 18 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through IP and other low level protocols (e.g., MPLS), the core network can support a vast array of applications, delivered through many devices and mediums. This is what has made demand forecasting significantly more unpredictable in recent years [49,66].…”

Section: Proposed Network Planning Framework Inputsmentioning

confidence: 97%

“…As suggested in [66], a closer measure of the drivers of user demand could be applied to the evaluation of the target market for network expansion. With no reliable historical data, panel data, such as demographics, socio-economic conditions, and other marketing data can be used to measure the potential usage of the network.…”

Section: Input 1: Market Realities-details and Justificationmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Long Term Telecommunication Network Planning Framework

Todd

Doucette

2016

J Netw Syst Manage

View full text Add to dashboard Cite

The design of large scale telecommunication networks is more than the technical allocation of capacity and path routing. By examining the design and allocation of resources in a broader sense, telecommunication network planning and management can better deliver value to the various stakeholders. This is significant especially when deploying networks in economically marginal areas such are rural, remote, or economically depressed regions. This paper presents a planning framework to systematically incorporate the influences, resources and decisions to effectively build or expand a network. Using a stake holders, input, process, output, customer approach, six key areas of society that derive value from better communication infrastructure in relatively unique manners were identified. These areas include healthcare, education, business, and others. The framework presented defines the inputs and outputs that accounts for the range of influences and outcomes in a network planning process. Inputs are broken down into four areas of concern (technical, market, financial, and application trends) that can influence how a network could be designed, along with four output areas (auxiliary activities, deployment strategies, technical design, and ownership and access). Through an extensive literature survey across many industries this framework was established to incorporate the many social economic and technical factors that influence telecommunication network planning and design.Keywords Network planning Á Survivable network planning Á Techno-economic planning Á Long range planning Á Network design Á Six sigma sipoc

show abstract

Section: Proposed Network Planning Framework Inputsmentioning

confidence: 97%

Section: Input 1: Market Realities-details and Justificationmentioning

confidence: 99%

A Novel Long Term Telecommunication Network Planning Framework

Todd

Doucette

2016

J Netw Syst Manage

View full text Add to dashboard Cite

show abstract

“…Bellcore Data Market Demand Model (BDMDM) was used to do forecast aggregation while Broadband Internode Forecasting Tools (BIFT) was used to do forecast disaggregation in [4]. Multi-faceted approach was used to forecast by considering statistical and historical analysis in [5]. Analytical method based on quantitative series forecasting was developed in [6] to forecast with considering quantitative factor of telecommunication service life-cycle.…”

Section: Introductionmentioning

confidence: 99%

Broadband user demand forecasting in Indonesia based on Fourier analysis

Siswanto

Haryadi

2015

2015 1st International Conference on Wireless and Telematics (ICWT)

View full text Add to dashboard Cite

In this paper, a broadband user demand forecasting in Indonesia based on Fourier analysis is presented. In this approach, the historical data of broadband user demand is considered as time-series data. To obtain trend of the time-series data, polynomial expression is incorporated in the Fourier series representation instead of constant. The presented forecasting model is then confirmed its validity by using hypotethical daily price fluctuation data. It can be shown that the presented forecasting model gives good agreement between forecasted data and actual data. The same forecasting model then is applied to forecast broadband user demand in Indonesia. Several cases of fixed and mobile broadband are presented. It can be shown that the forecasting model based on Fourier analysis gives good result with the error of the estimated value is less than 10%.

show abstract

“…Since the related factors of demands of new telecommunication services are uncertain and often lack required historical data at the beginning of development, the above estimation methods always fail to get a satisfactory forecast. In the meantime, Hopking et al 8 predicted the demands of new telecommunication services by estimating the demands of other existing services that have the same characteristics as them. Wasen et al 20 estimated the demands of new services by the growth of facilities required by these services.…”

Section: Introductionmentioning

confidence: 99%

Demands Estimation of New Telecommunication Services in Fuzzy Environment

Lin

2003

Int. J. Info. Tech. Dec. Mak.

View full text Add to dashboard Cite

With the uncertain influential factors of demands and the lack of required historical data, demand estimation for new telecommunication services have generally relied just on marketing survey and analysis. However, the data collected from marketing survey are usually expressed in human linguistic forms and hence are fuzzy in nature. That means the estimation method derived from traditional sampling theory cannot fully represent such fuzzy data and thus biased consequences caused often. Therefore, in this study, to completely capture the uncertainty of the surveyed data, we adopt a series of analytical methods based on fuzzy set theory to construct a fuzzy estimation model. Based on the proposed model, a solution procedure is developed to aid users to acquire the demands of new telecommunication services. Finally, the solution procedure is employed to estimate demands of mobile phone service within one year in Taiwan with satisfactory results.

show abstract

A multi-faceted approach to forecasting broadband demand and traffic

Cited by 18 publications

References 2 publications

A Novel Long Term Telecommunication Network Planning Framework

A Novel Long Term Telecommunication Network Planning Framework

Broadband user demand forecasting in Indonesia based on Fourier analysis

Demands Estimation of New Telecommunication Services in Fuzzy Environment

Contact Info

Product

Resources

About