Integrated planning for Next Generation Networks

Mohapatra, Sukant K.

doi:10.1109/inmw.2009.5195961

Cited by 10 publications

(7 citation statements)

References 3 publications

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“…Some other planning models include some feedback in the network design process, as illustrated in Fig. 2 [26], while others take planning system as a more or less linear process, as illustrated in Fig. 3 [27].…”

Section: Network Planningmentioning

confidence: 99%

“…It should be noted here that a significant amount of literature talking about network planning uses the term ''Next Generation Network'' [26][27][28]. What this term signifies is a shift in underlying network technology to serve demand from higher levels in a protocol agnostic manner [29].…”

Section: Network Planningmentioning

confidence: 99%

“…This broad view includes secondary and tertiary elements, not directly related to the strict network planning process, [26], but deemed important in understanding how resources are deployed and used in the network, and ultimately how the service drivers are able to extract value. The inputs look at social trends, application trends, financial capabilities of the key players in a network's deployment, and the technical reality of the current network.…”

Section: Regulation and Policy Planningmentioning

confidence: 99%

“…The first impact in the design process is in the representation of the technology (or technologies) at the design optimization stage. The second is when translating the optimized network designs into actual plans [26]. It is necessary to have the essential constraints and costs from the technology included in the optimization model, however, much of the details should be abstracted out to ensure the planning process does not get overwhelmed with details (either due to human limitations or computing capacity limitations).…”

Section: Input 4: Technical Abilities-details and Justificationmentioning

confidence: 99%

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A Novel Long Term Telecommunication Network Planning Framework

Todd

Doucette

2016

J Netw Syst Manage

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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

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Section: Network Planningmentioning

confidence: 99%

Section: Network Planningmentioning

confidence: 99%

Section: Regulation and Policy Planningmentioning

confidence: 99%

Section: Input 4: Technical Abilities-details and Justificationmentioning

confidence: 99%

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A Novel Long Term Telecommunication Network Planning Framework

Todd

Doucette

2016

J Netw Syst Manage

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“…Two core entities are softswitch and application server, the emergence of the next generation electric communication network, and all its multimedia value-added services provide operators with fresh flood to enhance the operational capacity and the competitiveness of enterprises [1][2][3]. The application server provides various types of enhancing services to users in the next generation electric communication network.…”

Section: Introductionmentioning

confidence: 99%

A PSO-Based Overload Control Algorithm to Application Servers in Next Generation Electric Communication Networks

Zhao¹,

Meng²,

Zhao³

et al. 2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

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-This paper analysis overload control characteristics of the application server in the next generation electric communication network, as well as the application server overload detection requirements, propose an energy efficiency overload control algorithm based on particle swarm. First of all, we consider the problem of overload control and network efficiency at the same time, based on rate allocation algorithm, construct the control input rate and energy efficiency model, on which the energy efficiency optimization overload control model is built. After that, the particle swarm optimization is used to solve the model, where the optimal solution is obtained by the iterative process. Finally, the simulation results show that the proposed algorithm is feasible and effective.

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Regulation and investment: A time-series analysis for next-generation networks in Mexico

Berglind¹

2016

2016 26th International Telecommunication Networks and Applications Conference (ITNAC)

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Integrated planning for Next Generation Networks

Cited by 10 publications

References 3 publications

A Novel Long Term Telecommunication Network Planning Framework

A Novel Long Term Telecommunication Network Planning Framework

A PSO-Based Overload Control Algorithm to Application Servers in Next Generation Electric Communication Networks

Regulation and investment: A time-series analysis for next-generation networks in Mexico

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