The RAISOM project (2009-2012), in the field of network supervision, aimed at proposing solutions to optimize the configuration of mobile collection networks. Objectives: to reduce their energy consumption and limit intermittent throughput drops.

Network Supervision Tools

The constant development of bandwidth-intensive 4G / LTE mobile services required telecom operators to adapt their collection networks.

AViSTO, 3Roam and INRIA, three key players in the Sophia Antipolis technology park, have launched the RAISOM project – labeled by the SCS Competitiveness Cluster and co-financed by the PACA Region, OSEO and the European Regional Development Fund. The goal was to develop software tools to optimize the configuration of 4G / LTE mobile collection networks.

Mobile Network Features

Mobile networks are largely based on radio links, while fixed networks have wired links. Climate change (rain, fog, sand, storms, etc.) therefore affects their performance.

Mobile networks must also adjust to changes in traffic (between day and night, between different times of the day …); this allows for example to reduce the overall power consumption of the network.

These characteristics, coupled with other more technical ones, translate into demanding technological issues. AViSTO, 3Roam and INRIA have been confronted with it and have developed software tools to optimize mobile operators’ wireless IP collection networks.

RAISOM Project

To describe the operation mode of an optimized wireless IP collection network (RAISOM), let’s consider a 4G mobile network based on the LTE standard.

Once installed, NemSiS, the network monitoring software developed by AViSTO, retrieves the key information (performance indicators) of the 3Roam radio modules. The telecom operator expresses its bandwidth needs and constraints. The algorithms developed by INRIA then define all the possible paths for the data and deduce the optimal configuration of the wireless links, which is then dynamically applied to the network; we are talking about ad hoc planning. The expected benefit is a significant improvement in the overall energy performance of the LTE network.

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