2023:
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Converge: QoE-driven Multipath Video Conferencing over WebRTC
Sandesh Dhawaskar Sathyanarayana, Kyunghan Lee, Dirk Grunwald, and Sangtae Ha,
ACM SIGCOMM 2023 (71 out of 323 = 21.98% acceptance rate). -
MRTOM: Mostly Reliable Totally Ordered Multicast, a Network Primitive to Offload Distributed Systems
Zhang Liu, Dirk Grunwald, Joseph Izraelevitz, Gaukas Wang and Sangtae Ha,
IEEE ICDCS 2023 (83 out of 439 = 18.9% acceptance rate). -
FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Ziqi Zhao, S.-H. Gary Chan, Sangtae Ha and Chul-Ho Lee,
IEEE ICDCS 2023 (83 out of 439 = 18.9% acceptance rate). -
Enabling Grant-Free URLLC for AoI Minimization in RAN-Coordinated 5G Health Monitoring System
Beom-Su Kim and Byung Hyun Lim, Beomkyu Suh, Sangtae Ha, Ting He, Babar Shah and Ki-Il Kim,
IEEE Internet of Things Journal 2023 -
An Empirical Study of 5G: Effect of Edge on Transport Protocol and Application Performance
Hyoyoung Lim, Jinsung Lee, Jongyun Lee, Sandesh Dhawaskar Sathyanarayana, Junseon Kim, Anh Nguyen, Kwang Taik Kim, Youngbin Im, Mung Chiang, Dirk Grunwald, Kyunghan Lee, Sangtae Ha,
IEEE Transactions on Mobile Computing 2023 -
Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Jiajie Tan, Edmund Sumpena, S.-H. Gary Chan, Sangtae Ha, and Chul-Ho Lee,
IEEE ICDE 2023 -
Muno: Improve Video Conferencing Quality with Deep Reinforcement Learning
Tu Van Nguyen, Kyungchan Ko, Sangwoo Ryu, Sangtae Ha, and James W. Hong,
NOMS 2023 (short paper) -
MoDEMS: Optimizing Edge Computing Migrations For User Mobility
Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, and Carlee Joe-Wong,
IEEE Journal on Selected Areas in Communications (JSAC) 2023