Predictive Thermal Control for Real-Time Video Decoding

Suzer, Mehmet Hadi; Kang, Kyoung Don

doi:10.1109/ecrts.2014.13

Cited by 1 publication

(1 citation statement)

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“…Considering the scenario of transmitting multimedia data, the data transmitted from a BS is decoded by the application processor in a smartphone, i.e., the CPU. Moreover, the power consumption of decoding multimedia data scales approximately linearly with the amount of multimedia data [33]. Therefore, the power consumption of the application processing is calculated by…”

Section: B Heat Transfer Modelmentioning

confidence: 99%

Power-Consumption Outage in Beyond Fifth Generation Mobile Communication Systems

Yang

Thompson

et al. 2021

IEEE Trans. Wireless Commun.

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One of the biggest problems facing future mobile systems beyond 5G (B5G) is the energy dissipation of mobile devices at high data rates. The heat generated by these devices can impact the performance as a result of a new type of outage called power-consumption outage. In this paper, we propose a general definition of the power-consumption outage and describe its three features. Based on the heat transfer model in smartphones, the power-consumption outage probability is analyzed. Specifically, we derive the joint outage probability of channel and power-consumption outages in relation to the signal-to-noise ratio (SNR), communication duration, and initial temperature of the smartphone-back-plate. The joint outage probability is then used to obtain the upper bound of the maximum receiving rate of a typical smartphone. Furthermore, we propose and analyze the impact on the capacity of the power-consumption outage. Simulation results show that the power-consumption outage probability increases with an increase of SNR and with extension of the communication duration. The upper bound of the maximum receiving rate of a smartphone decreases with an extension of communication duration. Considering the joint outage probability, simulation results show that the outage capacities, i.e., channel and power-consumption outages, decrease with an increase of SNR after reaching a given capacity threshold.

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Section: B Heat Transfer Modelmentioning

confidence: 99%