User profiles for Kyle Guan

Kyle Chi Guan

Verified email at qti.qualcomm.com
Cited by 2839

Energy-optimal mobile cloud computing under stochastic wireless channel

W Zhang, Y Wen, K Guan, D Kilper… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper provides a theoretical framework of energy-optimal mobile cloud computing under
stochastic wireless channel. Our objective is to conserve energy for the mobile device, by …

Transforming cooling optimization for green data center via deep reinforcement learning

Y Li, Y Wen, D Tao, K Guan - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
Data center (DC) plays an important role to support services, such as e-commerce and
cloud computing. The resulting energy consumption from this growing market has drawn …

In-network caching effect on optimal energy consumption in content-centric networking

N Choi, K Guan, DC Kilper… - 2012 IEEE international …, 2012 - ieeexplore.ieee.org
In content-centric networking (CCN), the in-network caching feature provides several attractive
advantages such as low dissemination latency and network transport load reduction. Thus…

End-to-end energy modeling and analysis of long-haul coherent transmission systems

BSG Pillai, B Sedighi, K Guan… - Journal of Lightwave …, 2014 - opg.optica.org
In this paper, we model and analyze the end-to-end energy consumption of 100-Gbps coherent
long-haul transmission systems. In particular, we investigate the impact of forward error …

Dynamic in-network caching for energy efficient content delivery

J Llorca, AM Tulino, K Guan, J Esteban… - 2013 Proceedings …, 2013 - ieeexplore.ieee.org
Consider a network of prosumers of media content in which users dynamically create and
request content objects. The request process is governed by the objects' popularity and varies …

DeepQoE: A multimodal learning framework for video quality of experience (QoE) prediction

…, G Gao, H Hu, Y Wen, K Guan - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, many models have been developed to predict video Quality of Experience (QoE),
yet the applicability of these models still faces significant challenges. Firstly, many models …

On the energy efficiency of content delivery architectures

K Guan, G Atkinson, DC Kilper… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
We examine the energy consumption of content delivery architectures, with a focus on the
benefit of content centric networking (CCN) and dynamic optical bypass. For each case, we …

Y-00 quantum stream cipher overlay in a coherent 256-Gbit/s polarization multiplexed 16-QAM WDM system

F Futami, K Guan, J Gripp, K Kato, K Tanizawa… - Optics …, 2017 - opg.optica.org
We present the operation of a 1.5-Gb/s real-time Y-00 quantum stream cipher as an overlay
in a modern coherent wavelength-division multiplexed (WDM) transmission system. We …

iTCM: Toward learning-based thermal comfort modeling via pervasive sensing for smart buildings

W Hu, Y Wen, K Guan, G Jin… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
For decades, ASHRAE Standard 55 has been using the Fanger's predicted mean vote (PMV)
model to evaluate the indoor thermal comfort satisfaction. However, this canonical model …

Network-coded caching-aided multicast for efficient content delivery

J Llorca, AM Tulino, K Guan… - 2013 IEEE international …, 2013 - ieeexplore.ieee.org
Consider a content delivery network in which storage and transport resources, characterized
by their capacity and cost (eg, energy) efficiency, are used to meet users' content object …