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

We compare three clipping techniques for reducing the PAPR of an UFMC signal over an AWGN channel. First, the techniques are analyzed probabilistically showing that deep clipping reduces the most, but it also has the worst performance. Then, the percentile levels of deep factor and level clipping are optimized, achieving similar performance that common techniques.

This paper presents a model for cellular communications infrastructure optimization considering its coexistence with an Advanced Measurement Infrastructure (AMI), using a strategy supported by a Cognitive Mobile Virtual Network Operator (C-MVNO). The goal is to ensure a secondary network operator is able to reuse the current communications infrastructure and use the same cellular telephony primary spectrum, but including a new user in the network, the so called Smart Meter, which is a fixed (non-mobile) user. The current work aims to the optimization of the cellular network base stations (BS) and of the interconnection links deployment by means of joining users in clusters defined by proximity and BS capacity. Thus, the model identifies the most suitable candidate sites for BS deployment and its partial-mesh optical-fiber interconnection network. It is included the links' traffic overhead analysis in order to decide the most suitable links as candidate for optimal optical network deployment. It is proposed a hybrid cellular-optical fiber design in order to permit the information reach the Measurement Data Management Systems (MDMS), which are placed in the centralized electric energy distribution offices, so to be processed and monitored.

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.

The next generation passive optical network, stage 2 (NG-PON2) constitute milestone in the optical access networks evolution. Currently the requirements of its physical layer, such as a 40 Gb/s of upstream/downstream capacity, using a hybrid WDM-TDM technology with reliability and efficiency in bandwidth and power consumption. The NG'PON2 standard also demand an Optical Distribution Network (ODN) backward compatibility with previous ITU-T PON standards. In this paper we provide a comprehensive way to understand NG-PON2 improvements and present an experimental demonstration of a NG-PON-2 compliant network deployment, employing BER and Optical Path Penalty (OPP) measurements, in order to verify the performance of different inter-channel spacing variations for determining its impact in the data transmission. Results show that there is a 3 dB penalty when using 0.2 nm of inter-channel spacing with respect to a 0.4 nm of inter-channel spacing.

In this work we employ our previously published Optimal Topology Search (OTS) algorithm to study, from a techno-economic point of view, the optimal deployment of 5G networks in large urban areas, focusing on the allocation of the remote radio heads and their correspondent low-cost optical fronthauling topologies. We compare the costs of deploying 5G networks based on traditional CPRI fronthauling with a DSP-assisted fronthauling solution. Results show that the DSP-assisted solution may provide effective connectivity from the Central Offices up to the remote radio heads at a lower cost in comparison with the CPRI-fronthauling deployment.