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Journal Articles
- 2022
[j9]Tegg Tae Kyong Sung
, Bo Ryu:
Deep Reinforcement Learning for System-on-Chip: Myths and Realities. IEEE Access 10: 98048-98064 (2022)- 2020
- [j8]Scott Marshall, Garrett M. Vanhoy, Ali Akoglu, Tamal Bose, Bo Ryu:
GPGPU Based Parallel Implementation of Spectral Correlation Density Function. J. Signal Process. Syst. 92(1): 71-93 (2020) - 2011
- [j7]F. Dell Kronewitter, Bo Ryu, Zhensheng Zhang, Liangping Ma:
TCP accelerator for DVB-RCS SATCOM dynamic bandwidth environment with HAIPE. J. Commun. Networks 13(5): 518-524 (2011) - 2003
- [j6]Hossein Izadpanah, Tamer A. ElBatt, Vikas Kukshya, Frank Dolezal, Bo Ryu:
High-availability free space optical and RF hybrid wireless networks. IEEE Wirel. Commun. 10(2): 45-53 (2003) - 2002
- [j5]Dennis Connors, Bo Ryu, Gregory J. Pottie, Son K. Dao:
A Medium Access Control Protocol for Real Time Video over High Latency Satellite Channels. Mob. Networks Appl. 7(1): 9-20 (2002) - 2001
- [j4]Yongguang Zhang, Bo Ryu:
Mobile and Multicast IP Services in PACS: System Architecture, Prototype, and Performance. Mob. Networks Appl. 6(1): 81-94 (2001) - 1999
- [j3]Dennis P. Connors, Bo Ryu, Son K. Dao:
Modeling and simulation of broadband satellite networks .I. medium access control for QoS provisioning. IEEE Commun. Mag. 37(3): 72-79 (1999) - [j2]Bo Ryu:
Modeling and simulation of broadband satellite networks. II. Traffic modeling. IEEE Commun. Mag. 37(7): 48-56 (1999) - 1998
- [j1]Bo Ryu, Jun Wei, Yongguang Zhang, Son K. Dao:
Managing IP services over a PACS Packet Network. IEEE Netw. 12(4): 4-10 (1998)
Conference and Workshop Papers
- 2023
- [c20]Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Deokseong Kim, Jae H. Kim, Carrie Spiker, Blake Harnden:
DeepMPR: Enhancing Opportunistic Routing in Wireless Networks via Multi-Agent Deep Reinforcement Learning. MILCOM 2023: 51-56 - [c19]Melissa Elkadi, Deokseong Kim, Ejaz Ahmed, Anh Le, Moein Sadeghi, Paul Russell, Bo Ryu:
Open Source-Based Over-the-Air 5G New Radio Sidelink Testbed. MILCOM 2023: 63-70 - 2022
- [c18]Alex Yahja, Saeed Kaviani, Bo Ryu, Jae H. Kim, Kevin A. Larson:
DeepADMR: A Deep Learning based Anomaly Detection for MANET Routing. MILCOM 2022: 412-417 - [c17]Anh Duc Le, Cristian Budianu, Melissa Elkadi, Bo Ryu:
Physical Layer Abstraction for LTE and 5G New Radio with Imbalance Receiver in EMANE. MILCOM 2022: 515-521 - [c16]Bo Ryu, Raymond Knopp, Melissa Elkadi, Deoksung Kim, Anh Le:
5G-EMANE: Scalable Open-Source Real-Time 5G New Radio Network Emulator with EMANE. MILCOM 2022: 553-558 - 2021
- [c15]Tegg Tae Kyong Sung, Bo Ryu:
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning. ICMLA 2021: 496-501 - [c14]Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Kevin A. Larson, Anh Le, Alex Yahja, Jae H. Kim:
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks. MILCOM 2021: 31-36 - 2018
- [c13]Scott Marshall, Garrett M. Vanhoy, Ali Akoglu, Tamal Bose, Bo Ryu:
GPU Based Quarter Spectral Correlation Density Function. DASIP 2018: 88-93 - [c12]Thomas Schucker, Tamal Bose, Bo Ryu:
Emulating Wireless Networks with High Fidelity RF Interference Modeling. MILCOM 2018: 822-828 - 2015
- [c11]Okhwan Lee, Weiping Sun, Jihoon Kim, Hyuk Lee, Bo Ryu, Jungwoo Lee, Sunghyun Choi:
ChASER: Channel-aware symbol error reduction for high-performance WiFi systems in dynamic channel environment. INFOCOM 2015: 2200-2208 - [c10]Bo Ryu, Nadeesha Ranasinghe, Wei-Min Shen, Kurt A. Turck, Michael Muccio:
BioAIR: Bio-inspired airborne infrastructure reconfiguration. MILCOM 2015: 774-779 - [c9]Bo Ryu, Nadeesha Ranasinghe, Wei-Min Shen, Kurt A. Turck, Michael Muccio:
BioAIM: Bio-inspired Autonomous Infrastructure Monitoring. MILCOM 2015: 780-785 - 2014
- [c8]Byungkab Jo, Taejun Park, Wonbo Lee, Bo Ryu, Sunghyun Choi:
IISRA: Inter-cell interference separation-based resource allocation for VoLTE. GLOBECOM 2014: 4490-4495 - 2009
- [c7]Harris Chi Ho Chiu, Bo Ryu, Hua Zhu, Pedro A. Szekely, Rajiv T. Maheswaran, Craig Milo Rogers, Aram Galstyan, Behnam Salemi, Michael Rubenstein, Wei-Min Shen:
TENTACLES: Self-configuring robotic radio networks in unknown environments. IROS 2009: 1383-1388 - 2007
- [c6]Liangping Ma, Hua Zhu, Gayathri Nallamothu, Bo Ryu, Heidi Howard:
Understanding Linear Regression for Wireless Sensor Network Time Synchronization. ICWN 2007: 325-328 - 2006
- [c5]Zhuochuan Huang, Zhensheng Zhang, Bo Ryu:
Power control for directional antenna-based mobile ad hoc networks. IWCMC 2006: 917-922 - 2004
- [c4]Jijun Yin, Tamer A. ElBatt, Gavin Yeung, Bo Ryu, Stephen Habermas, Hariharan Krishnan, Timothy Talty:
Performance evaluation of safety applications over DSRC vehicular ad hoc networks. Vehicular Ad Hoc Networks 2004: 1-9 - 2003
- [c3]Tamer A. ElBatt, Timothy Anderson, Bo Ryu:
Performance evaluation of multiple access protocols for ad hoc networks using directional antennas. WCNC 2003: 982-987 - 2001
- [c2]Ulas C. Kozat, George D. Kondylis, Bo Ryu, Mahesh K. Marina:
Virtual dynamic backbone for mobile ad hoc networks. ICC 2001: 250-255 - 2000
- [c1]Bo Ryu, Steven Lowen:
Fractal Traffic Models for Internet Simulation. ISCC 2000: 200-206
Informal and Other Publications
- 2023
- [i10]Alex Yahja, Saeed Kaviani, Bo Ryu, Jae H. Kim, Kevin A. Larson:
DeepADMR: A Deep Learning based Anomaly Detection for MANET Routing. CoRR abs/2302.13877 (2023) - [i9]Melissa Elkadi, Doekseong Kim, Ejaz Ahmed, Moein Sadeghi, Anh Le, Paul Russell, Bo Ryu:
Open Source-based Over-The-Air 5G New Radio Sidelink Testbed. CoRR abs/2306.09286 (2023) - [i8]Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Deokseong Kim, Jae H. Kim, Carrie Spiker, Blake Harnden:
DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through Multi-Agent Deep Reinforcement Learning. CoRR abs/2306.09637 (2023) - 2022
- [i7]Tegg Tae Kyong Sung, Bo Ryu:
Deep Reinforcement Learning for System-on-Chip: Myths and Realities. CoRR abs/2207.14595 (2022) - 2021
- [i6]Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Kevin A. Larson, Anh Le, Alex Yahja, Jae H. Kim:
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs. CoRR abs/2101.03273 (2021) - [i5]Tegg Tae Kyong Sung, Bo Ryu:
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning. CoRR abs/2104.13187 (2021) - [i4]Tegg Tae Kyong Sung, Bo Ryu:
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning. CoRR abs/2104.14354 (2021) - [i3]Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Kevin A. Larson, Anh Le, Alex Yahja, Jae H. Kim:
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks. CoRR abs/2111.15013 (2021) - 2020
- [i2]Tegg Tae Kyong Sung, Jeongsoo Ha, Jeewoo Kim, Alex Yahja, Bo Ryu:
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip Resource Scheduling. CoRR abs/2005.07666 (2020) - 2019
- [i1]Tegg Tae Kyong Sung, Valliappa Chockalingam, Alex Yahja, Bo Ryu:
Neural Heterogeneous Scheduler. CoRR abs/1906.03724 (2019)
Coauthor Index
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