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Taesang Yoo
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2020 – today
- 2024
- [j11]Xingqin Lin, Mingzhe Chen, Taesang Yoo, Yue Wang, Lina Bariah, Nguyen Hoang Tran, Kaibin Huang:
The Interplay Between Generative AI and 5G-Advanced Toward 6G. IEEE Netw. 38(5): 7-9 (2024) - [i4]Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold, Mohammed Hirzallah, Roohollah Amiri, Deepak Singh Mahendar Singh, Srinivas Yerramalli, Daniel Dijkman, Fatih Porikli, Taesang Yoo, Bence Major:
Neural 5G Indoor Localization with IMU Supervision. CoRR abs/2402.09948 (2024) - 2023
- [j10]Qiaoyu Li, Philip Sisk, Arumugam Kannan, Taesang Yoo, Tao Luo, Gaurav Shah, Badri Manjunath, Chanaka Samarathungage, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Himanshu Joshi:
Machine Learning Based Time Domain Millimeter-Wave Beam Prediction for 5G-Advanced and Beyond: Design, Analysis, and Over-The-Air Experiments. IEEE J. Sel. Areas Commun. 41(6): 1787-1809 (2023) - [j9]Roohollah Amiri, Srinivas Yerramalli, Taesang Yoo, Mohammed Hirzallah, Marwen Zorgui, Rajat Prakash, Xiaoxia Zhang:
Indoor Environment Learning via RF-Mapping. IEEE J. Sel. Areas Commun. 41(6): 1859-1872 (2023) - [c20]Akash S. Doshi, June Namgoong, Taesang Yoo:
Radio DIP - Completing Radio Maps using Deep Image Prior. GLOBECOM 2023: 1543-1548 - [c19]Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold, Mohammed Hirzallah, Roohollah Amiri, Deepak Singh Mahendar Singh, Srinivas Yerramalli, Daniel Dijkman, Fatih Porikli, Taesang Yoo, Bence Major:
Neural 5G Indoor Localization with IMU Supervision. GLOBECOM 2023: 3922-3927 - [c18]Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga:
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. GLOBECOM 2023: 4804-4809 - [c17]Mohamed F. Marzban, Wooseok Nam, Tao Luo, Arumugam Kannan, Taesang Yoo:
Deep Learning for Probabilistic Interference Predictions in mmWave Networks. ICC Workshops 2023: 42-47 - [c16]Rui Hu, Chenxi Hao, Yu Zhang, Taesang Yoo, June Namgoong, Hao Xu:
Deep Learning-Based Channel Estimation with Low-Density Pilot in MIMO-OFDM Systems. ICC 2023: 2619-2624 - [c15]Chu-Hsiang Huang, Taesang Yoo, Juan Montojo, Chang-Hwa Park, Mohammed Hirzallah:
Testing Black Boxes: Verification and Validation of AI Models in Wireless Communication Systems. WPMC 2023: 1-6 - [i3]Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga:
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. CoRR abs/2310.04570 (2023) - 2022
- [c14]Tianyang Bai, Hua Wang, Taesang Yoo, Ozge H. Koymen, Junyi Li:
Reliable Millimeter Wave Beam Prediction with Confidence Measure. IEEECONF 2022: 1-5 - [c13]Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi, Taesang Yoo, Arumugam Kannan, Mahmoud Taherzadeh Boroujeni, Qiaoyu Li, Tao Luo, Joseph B. Soriaga:
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods. GLOBECOM 2022: 776-781 - [c12]Qiaoyu Li, Arumugam Kannan, Himanshu Joshi, Taesang Yoo, Philip Sisk, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Tao Luo:
Long Short-Term Memory Based Millimeter Wave Beam Change Prediction via Real-World Data. GLOBECOM (Workshops) 2022: 1442-1447 - [c11]Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga, Max Welling, Roohollah Amiri, Srinivas Yerramalli, Taesang Yoo:
Neural RF SLAM for unsupervised positioning and mapping with channel state information. ICC 2022: 3238-3244 - [i2]Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga, Max Welling, Roohollah Amiri, Srinivas Yerramalli, Taesang Yoo:
Neural RF SLAM for unsupervised positioning and mapping with channel state information. CoRR abs/2203.08264 (2022) - 2021
- [j8]Akash S. Doshi, Srinivas Yerramalli, Lorenzo Ferrari, Taesang Yoo, Jeffrey G. Andrews:
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing. IEEE J. Sel. Areas Commun. 39(8): 2526-2540 (2021) - [c10]June Namgoong, Taesang Yoo, Naga Bhushan, Kiran Mukkavilli, Tingfang Ji:
Learning based Transmitter/Receiver Design for the Nonlinear Channel. ICC 2021: 1-5 - [i1]Akash S. Doshi, Srinivas Yerramalli, Lorenzo Ferrari, Taesang Yoo, Jeffrey G. Andrews:
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing. CoRR abs/2110.02736 (2021) - 2020
- [c9]Srinivas Yerramalli, Taesang Yoo, Lorenzo Ferrari:
LOS Delay Estimation using Super Resolution Deep Neural Networks for Precise Positioning. GLOBECOM 2020: 1-6
2010 – 2019
- 2013
- [j7]Chaiman Lim, Taesang Yoo, Bruno Clerckx, Byungju Lee, Byonghyo Shim:
Recent trend of multiuser MIMO in LTE-advanced. IEEE Commun. Mag. 51(3): 127-135 (2013) - 2011
- [j6]Taesang Yoo, Gerard J. Foschini, Reinaldo A. Valenzuela, Andrea J. Goldsmith:
Common Rate Support in Multi-Antenna Downlink Channels Using Semi-Orthogonal User Selection. IEEE Trans. Inf. Theory 57(6): 3449-3461 (2011) - [j5]Aleksandar Damnjanovic, Juan Montojo, Yongbin Wei, Tingfang Ji, Tao Luo, Madhavan Vajapeyam, Taesang Yoo, Osok Song, Durga Malladi:
A survey on 3GPP heterogeneous networks. IEEE Wirel. Commun. 18(3): 10-21 (2011)
2000 – 2009
- 2009
- [c8]Amir Farajidana, Wanshi Chen, Aleksander Damnjanovic, Taesang Yoo, Durga Malladi, Christopher Lott:
3GPP LTE Downlink System Performance. GLOBECOM 2009: 1-6 - 2007
- [j4]Taesang Yoo, Nihar Jindal, Andrea J. Goldsmith:
Multi-Antenna Downlink Channels with Limited Feedback and User Selection. IEEE J. Sel. Areas Commun. 25(7): 1478-1491 (2007) - 2006
- [j3]Taesang Yoo, Andrea J. Goldsmith:
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE J. Sel. Areas Commun. 24(3): 528-541 (2006) - [j2]Taesang Yoo, Andrea J. Goldsmith:
Capacity and power allocation for fading MIMO channels with channel estimation error. IEEE Trans. Inf. Theory 52(5): 2203-2214 (2006) - [c7]Yifan Liang, Taesang Yoo, Andrea J. Goldsmith:
Coverage Spectral Efficiency of Cellular Systems with Cooperative Base Stations. GLOBECOM 2006 - [c6]Taesang Yoo, Nihar Jindal, Andrea Goldsmith:
Finite-Rate Feedback MIMO Broadcast Channels with a Large Number of Users. ISIT 2006: 1214-1218 - 2005
- [j1]Eric Setton, Taesang Yoo, Xiaoqing Zhu, Andrea J. Goldsmith, Bernd Girod:
Cross-layer design of ad hoc networks for real-time video streaming. IEEE Wirel. Commun. 12(4): 59-65 (2005) - [c5]Taesang Yoo, Andrea Goldsmith:
Sum-rate optimal multi-antenna downlink beamforming strategy based on clique search. GLOBECOM 2005: 5 - [c4]Taesang Yoo, Andrea Goldsmith:
Optimality of zero-forcing beamforming with multiuser diversity. ICC 2005: 542-546 - 2004
- [c3]Taesang Yoo, Eunchul Yoon, Andrea Goldsmith:
MIMO capacity with channel uncertainty: does feedback help? GLOBECOM 2004: 96-100 - [c2]Taesang Yoo, Andrea Goldsmith:
Capacity of fading MIMO channels with channel estimation error. ICC 2004: 808-813 - [c1]Taesang Yoo, Eric Setton, Xiaoqing Zhu, Andrea J. Goldsmith, Bernd Girod:
Cross-layer design for video streaming over wireless ad hoc networks. MMSP 2004: 99-102
Coauthor Index
aka: Andrea Goldsmith
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