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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.
This technique allows the tracking of mobile terminals in real-time indoors with around 1.5 m of error with three access points at sight.
In BS (Base Station) cooperation architectures the MTs (Mobile Terminals) in adjacent cells can operate in the same frequency, with the signal's separation and/or MTs detection being performed by a CPU Central Processing Unitt).
In BS cooperation systems MTs (Mobile Terminals) in adjacent cells share the same physical channel allowing the reducing of the frequency reuse and improving the spectral efficiency of cellular systems.
The authors of[12, 13] designed an algorithm adaptively to predict the future positions of mobile terminals in wireless networks using historic records.
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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.
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.
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).
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