1 / 14

Cost Optimization Methods in the Design of Next Generation Networks

Cost Optimization Methods in the Design of Next Generation Networks. Halldor Matthias Sigurdsson, Danish Technical University Saemundur E. Thorsteinsson, Iceland Telecom Thomas K. Stidsen, Danish Technical University. 學生：林佩君 學號：９２７４６８. Outline. INTRODUCTION

kacia
Download Presentation

Cost Optimization Methods in the Design of Next Generation Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Cost Optimization Methods in the Design of Next Generation Networks Halldor Matthias Sigurdsson, Danish Technical University Saemundur E. Thorsteinsson, Iceland Telecom Thomas K. Stidsen, Danish Technical University 學生：林佩君 學號：９２７４６８

  2. Outline • INTRODUCTION • PSTN (Public Switched Telephone Network) • NGN (Next-Generation Network) • MIGRATION PLAN • THE TOTAL COST OF OWNERSHIP) • MATHEMATICAL MODELING • IMPLEMENTING THE MODEL • OPTIMIZING THE MODEL • CONCLUSION

  3. LEs: Local exchanges TEs: Transit exchanges RSS: remote subscriber stage Users are connected with a pair of copper wires (local loop) to the closest RSS. 10 LEs PSTN that all connect to twoTEs PSTN—Iceland Telecom’s PSTN

  4. LTLs: local trunk lines connect RSSs to LEs TTLs:transit trunk lines connect LEs to TEs PSTN-connectivity and topology map for circuit switched network

  5. Telephony Sever(TSs) handle call and service control in the new system. In the migration plan, the two current TEs will be upgraded to TSs. Media Gateway(MGWs) core switches in the new IP or ATM backbone network. In the migration plan, an optimal number of LEs will be upgraded to MGWs. Access Ramps(ARs) termination points of the local loop. provide customers with both narrowband and broadband connectivity. In the first stepof the migration plan, the current 210 RSSs will be kept unchanged. NGN-principle parts(1)

  6. Connectivity Network a backbone IP or ATM network between MGWs. built on leased slots between nodes in the existing SDH fiber network. In the migration plan, MGWs can be located wherever there is an SDH node. will be connected to the TSs with SDH slots of the required bandwidth. NGN-principle parts(2)

  7. Base on upgrading existing TEs to TSs LEs to MGWs connect them all using an ATM or IP connectivity network. The Problem find the position and number of MGWs that minimize the TCO of the NGN network. Migration Plan

  8. The Total Cost of Ownership (1) • cost factors • Leased line cost ,Depreciation ,Interest, Housing and internal services • By simulating these five cost factors in a mathematical model for both the current and future networks. • Minimizing • exists an optimal number and position of MGWs

  9. Reason Of Minimizing Step 1: If the position of MGWs for each number of MGWs is optimized, a function of minimum total leased line cost relative to the number of MGWs can be found. The Total Cost of Ownership (2)

  10. Reason Of Minimizing Step 2 As the number of MGWs increases, these cost factors start increasing more rapidly than is saved in local leased line cost. At that point, the total cost is at a minimum. The Total Cost of Ownership (3)

  11. MATHEMATICAL MODELING • bandwidth requirements • can be estimated based on empirical data and a statistical multiplexing factor. • Distance matrix • represents the shortest distance between any two nodes in the network • can be populated using available operations research solutions of the shortest path problem, • TCO( total cost of ownership) • The TCO becomes the objective function in the optimization • can be expressed as total leased line cost plus the sum over other cost components.

  12. IMPLEMENTING THE MODEL • Spreadsheet program • Availability ,flexibility, and ease of use gives them strong appeal. • an easy-to-use graphical user interface • can get the estimated total cost of ownership for the future NGN examine the financial effect of combining structural changes with the migration.

  13. OPTIMIZING THE MODEL • Requires a third party solver addin. • By combining intuition and heuristics, accurate approximations to the global optimum can be reached. • GAMS (General Algebraic Modeling System) • Ensure a global optimum • The optimization produces • a network structure with the lowest possible total cost of ownership. • the model can also indicate how deviations from the optimum affect cost.

  14. 19 percent reduction in TCO can be achieved by changing the structure to three MGWs instead of upgrading all 10 LEs in the current circuit-switched configuration. The feasibility of NGN can be assessed by comparing the cost of NGN migration to that of maintaining the current circuitswitched network. CONCLUSION

More Related