@Article{CardosoAraCarVijFra:2020:NoMuCe,
               author = "Cardoso, Evelin Helena Silva and Ara{\'u}jo, Jasmine Priscyla 
                         Leite de and Carvalho, Solon Ven{\^a}ncio de and Vijaykumar, 
                         Nandamudi Lankalapalli and Franc{\^e}s, Carlos Renato Lisboa",
          affiliation = "{Universidade Federal do Par{\'a} (UFPA)} and {Universidade 
                         Federal do Par{\'a} (UFPA)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universidade Federal do Par{\'a} (UFPA)}",
                title = "Novel Multilayered Cellular Automata for Flying Cells Positioning 
                         on 5G Cellular Self-Organising Networks",
              journal = "IEEE Access",
                 year = "2020",
               volume = "8",
                pages = "227076--227099",
             keywords = "Base stations, Unmanned aerial vehicles, Smart cities, Throughput, 
                         Wireless networks, Ultra reliable low latency communication, 
                         Telecommunication network reliability, Context heavy traffic 
                         situation, distributed scheme, flying cells positioning, novel 
                         multilayered cellular automata, telecommunications systems.",
             abstract = "There will be a profound impact from 5G to develop smart cities. 
                         Questions such as {"}How telecommunication operators will 
                         efficiently provide network infrastructure{"}, {"}When and where 
                         the quality of service parameters are degraded or below 
                         expected{"} are to be considered. In this context, the use of base 
                         stations carried by Unmanned Aerial Vehicles (UAV) acting as 
                         flying cells to compensate areas where telecommunications systems 
                         are challenged by abnormal conditions during their operation has 
                         attracted attention. In this paper, we propose an intelligent 
                         solution based on a novel multilayered cellular automata for 
                         positioning flying cells and improvement of network capacity in 
                         context heavy traffic situations as congested cars in avenues in 
                         some hours of the day, crowded events, disaster or hot spot 
                         traffic. In our distributed approach, all UAV base stations 
                         operate in parallel. The self-organisation arises from an emergent 
                         pattern based on applying simple rules in a defined neighbourhood. 
                         The proposed scheme considers both backhaul and radio access 
                         network constraints, and user requirements in terms of downlink 
                         throughput. Simulation results show that the proposed algorithm 
                         performs favourably compared with other schemes in terms of all 
                         metrics considered. Therefore, we provide a solution for rapid and 
                         efficient positioning of multiple UAV base stations to respond in 
                         real time to urgent network changes.",
                  doi = "10.1109/ACCESS.2020.3045663",
                  url = "http://dx.doi.org/10.1109/ACCESS.2020.3045663",
                 issn = "2169-3536",
             language = "en",
           targetfile = "cardoso_novel.pdf",
        urlaccessdate = "24 abr. 2024"
}