Under the smart city paradigm, cities are changing at a rapid pace. In this context, it is necessary to develop tools that allow service providers to perform rapid deployments of novel solutions that can be validated by citizens. In this sense, the OrganiCity experimentation-as-a-service platform brings about a unique solution to experiment with new urban services in a co-creative way, among all the involved stakeholders. On top of this, it is also necessary to ensure that users are engaged in the experimentation process, so as to guarantee that the resulting services actually fulfill their needs. In this work, we present the engagement monitoring framework that has been developed within the OrganiCity platform. This framework permits the tailored definition of metrics according to the experiment characteristics and provides valuable information about how citizens react to service modifications and incentivization campaigns.
-The need for massive content delivery is a consolidated trend in mobile communications, and will even increase for next years. Moreover, while 4G maturity and evolution is driven by video contents, next generation (5G) networks will be dominated by heterogeneous data and additional massive diffusion of Internet of Things (IoT). The current network architecture is not sufficient to cope with such traffic, which is heterogeneous in terms of latency and QoS requirements, and variable in space and time. This paper proposes architectural advances to endow the network with the necessary flexibility helping to adapt to these varying traffic needs by providing content and communication services where and when actually needed. Our functional hardware/software (HW/SW) architecture aims at influencing future system standardization and leverage the benefits of some key 5G networking enablers described in the paper. Preliminary results demonstrate the potential of these key technologies to support the evolution toward content-centric and context-aware 5G systems.
Abstract. Nowadays, energy efficiency has become a major issue in mobile networks operation. Due to the exponential rise in the number of wireless Internet-connected mobile devices reducing electrical energy consumption is not only a matter of showing environmental responsibility, but also of substantially reducing their operational expenditure. However, energy reduction cannot be pursued at any cost and appropriate service has to be supported. Among the diverse hardware and software solutions available, this paper focuses on the dynamic operation of cellular base stations, in which redundant base stations are switched off during periods of low traffic. Besides, we are also describing the use of prediction mechanisms in order to make a proper decision on when to take that action. The proposed schemes are assessed by means simulations using both theoretical and real load models.
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