XR Offloading Across Multiple Time Scales: The Roles of Power, Temperature, and Energy

2025/06/23 by Malandrino, Francesco, Chukhno, Olga, Catania, Alessandro +2 · 1 citation
#FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)

paper · doi:10.48550/arxiv.2506.18584

Abstract

Extended reality (XR) devices, commonly known as wearables, must handle significant computational loads under tight latency constraints. To meet these demands, they rely on a combination of on-device processing and edge offloading. This letter focuses on offloading strategies for wearables by considering their impact across three time scales: instantaneous power consumption, short-term temperature fluctuations, and long-term battery duration. We introduce a comprehensive system model that captures these temporal dynamics, and propose a stochastic and stationary offloading strategy, called TAO (for temperature-aware offloading), designed to minimize the offloading cost while adhering to power, thermal, and energy constraints. Our performance evaluation, leveraging COMSOL models of real-world wearables, confirms that TAO reduces offloading cost by over 35% compared to state-of-the-art approaches, without violating the wearable operational limits.

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