Scheduling method based on hierarchical cell structure and femto base station for the same BH Kim, SW Jang, JW Lim, JH Jo US Patent App. 12/863,975, 2011 | 122 | 2011 |
Opportunistic routing for smart grid with power line communication access networks SG Yoon, S Jang, YH Kim, S Bahk IEEE Transactions on Smart Grid 5 (1), 303-311, 2013 | 106 | 2013 |
Generative design by reinforcement learning: enhancing the diversity of topology optimization designs S Jang, S Yoo, N Kang Computer-Aided Design 146, 103225, 2022 | 61 | 2022 |
Post-CCA and reinforcement learning based bandwidth adaptation in 802.11 ac networks S Jang, KG Shin, S Bahk IEEE Transactions on Mobile Computing 17 (2), 419-432, 2017 | 30 | 2017 |
A channel allocation algorithm for reducing the channel sensing/reserving asymmetry in 802.11 ac networks S Jang, S Bahk IEEE Transactions on Mobile Computing 14 (3), 458-472, 2014 | 30 | 2014 |
Method for processing traffic in unused band in an intermediate access point JH Jo, JW Lim, JH Lee, SY Choi, SW Jang, SJ Park, BH Kim US Patent 8,811,318, 2014 | 26 | 2014 |
Multiobjective load balancing for multiband downlink cellular networks: A meta-reinforcement learning approach A Feriani, D Wu, YT Xu, J Li, S Jang, E Hossain, X Liu, G Dudek IEEE Journal on Selected Areas in Communications 40 (9), 2614-2629, 2022 | 19 | 2022 |
Femto base station and method for managing resource thereof JH Jo, SW Jang, JW Lim, BH Kim US Patent 9,084,271, 2015 | 19 | 2015 |
Electronic device and method of controlling operation of vehicle D Ban, SW Jang, U Park US Patent 10,769,453, 2020 | 12 | 2020 |
Method and apparatus for reassigning frequency resource in a femto base station during handover JW Lim, SW Jang, JH Jo US Patent 8,996,007, 2015 | 11 | 2015 |
Traffic scenario clustering and load balancing with distilled reinforcement learning policies J Li, D Wu, YT Xu, T Li, S Jang, X Liu, G Dudek ICC 2022-IEEE International Conference on Communications, 1536-1541, 2022 | 9 | 2022 |
Autonomous driving apparatus and method thereof HAN Seongwon, BAN Daehyun, W Park, J Seowoo US Patent 11,047,698, 2021 | 8 | 2021 |
Generative design by reinforcement learning: Maximizing diversity of topology optimized designs S Jang, N Kang arXiv preprint arXiv:2008.07119, 2020 | 6 | 2020 |
Cell on/off parameter optimization for saving energy via reinforcement learning M Choi, K Kim, H Jang, H Woo, JS Pujol-Roig, Y Wang, H Yeon, S Choi, ... 2021 IEEE Globecom Workshops (GC Wkshps), 1-6, 2021 | 5 | 2021 |
OAU: Opportunistic antenna utilization for wi-fi and bluetooth coexistence W Park, J Han, S Jang, S Bahk 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 5 | 2016 |
Coordinated load balancing in mobile edge computing network: a multi-agent drl approach M Ma, D Wu, YT Xu, J Li, S Jang, X Liu, G Dudek ICC 2022-IEEE International Conference on Communications, 619-624, 2022 | 4 | 2022 |
Scheduling method, MS apparatus using the scheduling method, data transmission method, and BS apparatus using the data transmission method in a wireless communication system BH Kim, SW Jang, JH Jo US Patent 9,084,278, 2015 | 4 | 2015 |
Adaptive Generalized Proportional Fair Scheduling with Deep Reinforcement Learning J Song, Y Nam, H Kwon, I Sim, SJ Maeng, S Jang 2022 IEEE Globecom Workshops (GC Wkshps), 759-764, 2022 | 3 | 2022 |
Method and apparatus for configuring multi-hop network J Seowoo, S Bahk, LEE Taeseop, LEE Myungsup US Patent App. 16/318,175, 2019 | 3 | 2019 |
Statistical estimation of the number of contending stations and its application to a multi-round contention resolution scheme S Jang, JG Choi, SG Yoon KSII Transactions on Internet and Information Systems (TIIS) 10 (9), 4259-4271, 2016 | 3 | 2016 |