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Exact(8)
In [4], a mathematical model is proposed in order to track a mobile terminal in a cellular environment.
The radio layer handover process starts with the hard handover of the mobile terminal in the radio level between two eNodeB-xBS [33].
This platform helps to improve the performance of the mobile terminal in the frequent replacement of the interconnection between the subnetworks.
Moreover, smart phones play an important role as the universal mobile terminal in tomorrow's mobile computing paradigm, primarily due to their unparalleled popularity among computing devices.
Otherwise, if the latency generated by offloading is lower, we have to compare the energy consumed by mobile terminal in case of offloading using Eq. (7) to the energy consumed in local execution case using Eq. (8).
Using a "space sampling" scheme, training and test data was recorded while randomly walking inside the rooms, which enables localizing a mobile terminal in arbitrary positions, not only in some representative points.
Similar(52)
Unlike traditional cellular networks, which provide mainly voice services, there is, at present, no method that enables the effective management of terminal mobility for both active and idle mobile terminals in data networks.
Tracking of mobile terminals in mobile networks is a technology with growing and diverse applicability.
In this section, the performance of the proposed algorithm is evaluated with various numbers of mobile terminals in the secondary cell.
The authors of[12, 13] designed an algorithm adaptively to predict the future positions of mobile terminals in wireless networks using historic records.
However, for practical broadband relay networks where the source and the relay can all be moving nodes, e.g., mobile terminals in moving cars or high-speed trains.
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