Germán V. Arévalo

ILP model for Greenfield WDM PON network design based on physical layer constraints

One of the main issues in the WDM PON networks design is the optimal dimensioning of the network. The network size usually depends on the traffic demand and the user density, taking in to account the active and passive equipment capacity and some physical layer constraints like the attenuation in the optical path. However, some physical layer limitations related with signal transmission in an optical fiber become more relevant in a WDM transmission and when operating at very high data rates, like 10 Gbps or beyond. In this paper we propose a novel physical layer restrictions based integer linear programming (ILP) model for greenfield next generation 10 Gbps WDM PON network design. The results of the model are validated by means of computational techniques. The proposed ILP model takes into account not only the attenuation of the signal in the optical path but also, through the use of the data obtained by simulation software. We take in to account the restrictions imposed by other phenomena like dispersion, cross talk and some non linear effects typically present in a dense WDM optical transmission.

Optimization of multiple PON deployment costs and comparison between GPON, XGPON, NGPON2 and UDWDM PON

In this paper we propose an optimization framework for multiple deployment of PON in a wide region with very large number of users, with different bit rate demands, serviced by many central offices, as it may practically happen in a large city that plans a massive introduction of Fiber to the Home technologies using PON. We propose an algorithm called Optimal Topology Search (OTS), which is based on a set of heuristic approaches, capable of performing an optimal dimensioning of multiple PON deployments for a set of central offices (CO), including an optimal distribution of users among the CO. The set of heuristics integrated in OTS permit the efficient clustering of users for each CO, depending on their location and the bit rate demanded by them. It also permits the definition of optimal routes for optical cables and the allocation of branching devices. Taking into account hardware capacity restrictions and physical layer restrictions, we obtained solutions for different types of standardized PON technologies, like GPON, XGPON and NGPON2 as well as for future UDWDM-PON. We evaluate the optimal network deployment in a series of different minimum guaranteed bit rate demand scenarios, employing realistic maps of a large city in order to compare costs and portrait some reference points for deciding in which scenario a specific technology constitutes the best choice.

A techno-economic network planning tool for PON deployment including protection strategies

We developed a techno-economic network planning tool for deployment of PON networks in large cities involving hundreds of thousands of end-users. The tool use techno-economic data and street-aware algorithms to estimate the global cost of the network. In the present new work, we extend the application scenario of our planning tool to estimate the increase of cost when different types of protection strategies are introduced in PON networks.

Street-aware Algorithm for Optimal dimensioning of protected-PON in very large regions

In this paper we propose a novel algorithm for optimally dimension protected-PON deployments in very large urban regions with users in the order of hundreds of thousands with different bit rate demands. Results obtained show that when comparing different PON technologies sweeping a set of three bit rate demand scenarios: a today, a mid-term and a long-term scenario, the percentage of increase in the costs for protected PON, in comparison with a no protection solution, increase exponentially for GPON and XGPON (with much greater increase rate for the former in comparison to the latter) and keeps almost constant for NG-PON2.