Year: 2026
Type: article
Abstract: Frequent power wastage occurs when a device maintains its connection during brief idle periods.Instead of focusing solely on the network side, this research explores what the device itself could do by identifying short non-transmission intervals directly from streaming traffic.A lightweight prediction model examines recent traffic patterns and estimates whether a short idle period is likely to occur.When such an interval is detected, the device transmits a release preference via the user equipment assistance information (UAI) framework defined in 3GPP Release 16, thereby requesting a state transition from RRC CONNECTED to RRC_IDLE.Experiments were conducted using a Samsung Galaxy Flip7 in KT's commercial 5G SA network environment, based on a one-hour YouTube streaming session at 480p resolution.The deployed model achieved an accuracy of 87.7% and a recall of 90.2%, reducing average power consumption by approximately 4% compared with the baseline configuration.
Authors: Jong-Phil Lee, Bo-Young Kim
Institution: Seoul School of Integrated Sciences and Technologies
Language: English
Topic: Green IT and Sustainability
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166673690
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