Browsing by Author "Lee, Haeyoung"

Now showing items 1-9 of 9

    • Contextual Multi-Armed Bandit based Beam Allocation in mmWave V2X Communication under Blockage 

      Kose, Abdulkadir; Lee, Haeyoung; Foh, Chuan Heng (Institute of Electrical and Electronics Engineers (IEEE), 2023-08-14)
      Due to its low latency and high data rates support, mmWave communication has been an important player for vehicular communication. However, this carries some disadvantages such as lower transmission distances and inability ...

    • Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications 

      Manic, Setinder; Foh, Chuan Heng; Kose, Abdulkadir; Lee, Haeyoung; Leow, Chee Yen; Moessner, Klaus; Suthaputchakun, Chakkaphong (Institute of Electrical and Electronics Engineers (IEEE), 2024-02-12)
      The incorporation of mmWave technology in vehicular networks has unlocked a realm of possibilities, propelling the advancement of autonomous vehicles,enhancing interconnectedness, and facilitating communication for intelligent ...

    • Machine Learning in Communication Systems and Networks 

      Sun, Yichuang; Lee, Haeyoung; Simpson, Oluyomi (2024-03-17)

    • Machine Learning in Communication Systems and Networks 

      Sun, Yichuang; Lee, Haeyoung; Simpson, Oluyomi; Centre for Future Societies Research; School of Physics, Engineering & Computer Science; Department of Engineering and Technology; Communications and Intelligent Systems; Centre for Engineering Research (MDPI Multidisciplinary Digital Publishing Institute, 2024-04-18)
      Recent advances in machine learning, coupled with the availability of powerful computing platforms, have garnered significant attention from academic, research, and industry communities. Machine learning is considered a ...

    • ML-based estimation of the number of devices in industrial networks using unlicensed bands : (Best workshop paper) 

      Baiyekusi, Oluwatobi; Lee, Haeyoung; Moessner, Klaus (Institute of Electrical and Electronics Engineers (IEEE), 2022-10-21)
      Advanced automation is being adopted by manu-facturing facilities and wireless technologies are set to be a key component in driving the factories of the future. It is expected that private cellular networks and WLAN ...

    • Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications 

      Kose, Abdulkadir; Lee, Haeyoung; Foh, Chuan Heng; Shojafar, Mohammad (2024-02-13)
      Millimeter wave (mmWave) has been recognized as one of key technologies for 5G and beyond networks due to its potential to enhance channel bandwidth and network capacity. The use of mmWave for various applications including ...

    • Multichannel Relay assisted NOMA-ALOHA with Reinforcement Learning based Random Access 

      Lee, Haeyoung; Lee, Sunyoung; Ko, Youngwook (Institute of Electrical and Electronics Engineers (IEEE), 2023-08-14)
      We investigate multichannel relay assisted non-orthogonal multiple access (NOMA) in slotted ALOHA systems, where each user randomly accesses one of different channel slots and different transmit power for uplink transmissions ...

    • Nodes Number Estimation based on ML for Multi-operator Unlicensed Band Sharing to Extend Indoor Connectivity 

      Baiyekusi, Oluwatobi; Lee, Haeyoung; Moessner, Klaus (Institute of Electrical and Electronics Engineers (IEEE), 2023-05-12)
      Due to ever-increasing data and resource-hungry applications, the needs of new spectrum by mobile networks keep increasing. Unlicensed spectrum is still expected to play a crucial part in meeting the capacity demand for ...

    • Recent Advances in Machine Learning for Network Automation in the O-RAN 

      Hamdan, Mutasem; Lee, Haeyoung; Triantafyllopoulou, Dionysia; Borralho, Rúben; Kose, Abdulkadir; Amiri, Esmaeil; Mulvey, David; Yu, Wenjuan; Zitouni, Rafik; Pozza, Riccardo; Hunt, Bernie; Bagheri, Hamidreza; Foh, Chuan Heng; Heliot, Fabien; Chen, Gaojie; Xiao, Pei; Wang, Ning; Tafazolli, Rahim (2023-10-28)
      The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces ...