Mobile Data Offloading through Opportunistic Communications and Social Participation

University of Maryland, College Park
IEEE Transactions on Mobile Computing (Impact Factor: 2.4). 06/2012; DOI: 10.1109/TMC.2011.101
Source: IEEE Xplore

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    ABSTRACT: The popularization of smart phones changes the usage patterns of mobile communication from voice-centric to data-centric communication. The demand for wireless data communications is rapidly increasing, and thus the need for expanding infrastructure for mobile communication is also rapidly increasing. In this paper, we propose a scheme for reducing the cost for the mobile communication infrastructure by exploiting opportunistic networks in dissemination of multimedia contents. By using this scheme, the large portion of the cost for mobile communication infrastructure could be saved, and the need of users for multimedia contents could be also fulfilled. Our scheme is evaluated using agent-based simulations. The simulation results show that about 70% of mobile communication can be replaced with the data communication through opportunistic networks.
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    ABSTRACT: The deployment of 4G cellular networks represents very attractive step not only for the mobile network operators. Besides the expected benefits, it also implies in certain risk especially because of rapidly increasing amounts of data traffic generated by machine-to-machine communications. Therefore, it is very important to know where are the capacity limits of 4G mobile networks for emerging M2M services. There are some solutions how to avoid the state when all network resources are consumed and mobile network is not able to handle new requests. One of them is called mobile data offloading, but the implementation of these mechanisms, in general, consumes additional effort and expenditures of telecommunication operators. Hence we provide this study on the capacity performance of 4G network to define an area where the implementation of additional mechanisms is efficient or not. The study was performed in the OPNET Modeler simulation environment.
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    ABSTRACT: We analyze next generation cellular networks, offering connectivity to mobile users through LTE as well as WiFi. We develop a framework based on the Markovian agent formalism, which can model several aspects of the system, including the dynamics of user traffic and the allocation of the network radio resources. In particular, through a mean-field solution, we show the ability of our framework to capture the system behavior in flash-crowd scenarios, i.e., when a burst of traffic requests takes place in some parts of the network service area.

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May 21, 2014