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Percorrer por autor "Silva, N."

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  • An enhanced proposal in neighbor list planning for LTE SON radio access networks
    Publication . Duarte, D.; Martins, A.; Vieira, Pedro; Rodrigues, A.; Silva, N.
    Nowadays, a coexistence of 2nd Generation (2G), 3rd Generation (3G) and 4th Generation (4G) networks is being witnessed. Due to this situation, it became evident the need for Self-Organizing Networks (SON), which aims to automate most of the associated radio planning and optimization tasks. Within SON, this paper presents the latest work around an algorithm that optimizes the Neighbor Cell List (NCL) for Long Term Evolution (LTE) evolved NodeBs (eNBs). The algorithm is based on intra-site distance, its antenna orientation (azimuth/elevation), radiation pattern and overlap areas between cells. The research initial steps were already published (Duarte, D.; Vieira, P.; Rodrigues, A.; Martins, A.; Oliveira, N.; Varela, L., “Neighbour List Optimization for Real LTE Radio Networks,” Wireless and Mobile, 2014 IEEE Asia Pacific Conference on, pp.183,187, 28-30 Aug. 2014).
    2015-10-26Documento de conferência Acesso restrito Ver mais
  • Crossed sector automatic detection in 4G Radio Access Networks
    Publication . Martins, A.; Vieira, Pedro; Franco, C.; Rodrigues, A.; Silva, N.
    The Long Term Evolution (LTE) is the latest step in the advancing series of mobile telecommunications systems, it is called the fourth Generation (4G). In order to boost performance and deal with the increasing complexity within the operating 3G/4G networks, the Self-Organizing Networks (SON) concept was introduced.
    2015-10-26Documento de conferência Acesso restrito Ver mais
  • Energy savings in 3G using dynamic spectrum access and base station sleep modes
    Publication . Cunha, T.; Rodrigues, A.; Vieira, Pedro; Martins, A.; Silva, N.; Varela, L.
    The energy consumption and energy efficiency of mobile telecommunication networks are crucial factors for the sustainability of this industry. This paper targets the reduction of the energy consumption at a Base Station (BS) level through the adoption of sleep modes during the off-peak periods of the day and relying in the existence of co-located and overlaid frequency bands to provide the coverage and capacity backup for the switched-off cells. It relies on the Dynamic Spectrum Allocation (DSA) method to opportunely relocate users during the low-load periods while maintaining the service quality of service (QoS). For the input data, real traffic statistics were used. Using this strategy and the proposed algorithm it was possible to achieve savings of about 43% per-site. The results were furthered to the study of a Portuguese mobile operator case and it was concluded that savings of more than 1.25 million euros were easily achieved.
    2015-10-26Documento de conferência Acesso restrito Ver mais