Optimized network plannning for converged optical access networks

Funding Agency:DFG
Duration:3 years, 01.01.2016 - 31.12.2018
Contact: E. Grigoreva (e.grigoreva@tum.de)
 C. Mas Machuca (cmas@tum.de)
 W. Kellerer (wolfgang.kellerer@tum.de)

Scope of Project

This research project aims at modelling, investigating, implementing and evaluating new planning methods for future converged access networks. These new methods consider critical design parameters of the different technologies (e.g., capacity, transmission distance, fan out), targeted area characteristics (e.g., existing infrastructure, optical network unit expected locations, requested bandwidth and reliability per location) as well as parameters for optimization (e.g., performance, efficiency, power consumption). The operational processes of heterogeneous access networks have to be remodeled, implemented and evaluated. Since network virtualization provides the basis for new business models for infrastructure sharing, optimal mapping of virtual network provider requests into converged access networks have to be included in the developed planning method.

Planned Contributions

  • Model for and implementation of a new optimized planning method which combines different access technologies in order to provide individual bandwidth and resilience requirements. Existing and future schemes in energy-efficiency of existing technologies should be modeled and included in the planning. A generic objective function that should be minimized for any access network (independent of technology, scenario or targeted end customers). The objective function should include the most crucial parameters such as infrastructure and components, but also important aspects of the components and architectures such as the possible power saving schemes, consideration of diverse location alternatives (e.g., different required A/C, accessibility).
  • New protection schemes will be proposed based on the cooperation of wireless and wired architectures. These protection schemes will also be compared in terms of required investment, computation time, and compliance with the requirements. The result should provide the required connection availability to each user.
  • Model, implement and evaluate the best migration path of a given existing area with currently deployed access network(s) towards a future optimal hybrid network enhancing the advantages and savings of the proposed solution. Given a starting scenario (starting with Greenfield and extending it to Brownfield), we study which is the best migration towards converged access network taking into account the steps that should be followed, prioritizing of end points to be migrated, evaluation of the savings in terms e.g. power consumption reduction, etc.
  • Once the optimal network layout is proposed, network virtualization will offer the best way to map the different network providers (NP) or even service providers (SP) requirements into the same access network of an Infrastructure Provider (InP). This scenario allows new business models, which will be evaluated and analyzed.