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There are various approaches to improve the mobile user performance by association control.
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In addition to the objectives of mobile users, performance metrics of cloud computing data centers and wireless operators can be considered as well.
The future cellular system should seek to satisfy the mobile user by optimizing performance from the network and the user perspective.
And we analyze the impact of the transmit antenna number and mobile user number on the performance.
Li, et al. [20] discussed the lack of consistent network performance for mobile user while offloading; the optimal offloading decision becomes suboptimal due to MD user movement.
We found that at the lowest level of cognitive complexity, user performance and perceptions of mobile training achieved the desirable improved results between non-interactive and interactive mobile app use.
Surprisingly, at the highest level of complexity, the results indicate that cognitive task complexity and user interactions with both peers and technology significantly decreased user performance and user perceptions of mobile training.
We study the power consumption for each mobile user in CloudExp by looking at the impact of load size on the performance of power and delay.
However, when a mobile user transmits using small bursts, and consequently few pilots, the BER and estimation performances of the IIC approach suffer greatly.
mobile user.
The mobile user requirements.
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