Youjin’s paper, “Multicell downlink beamforming with limited backhaul signaling,” has been accepted by IEEE Access for publication. See here for details.
A new journal paper paper [Y. Choi and H. J. Yang*, “On-demand route discovery in a unicast manner,”] has been accepted in PLOS ONE. See here for details.
Myeung Un, Jonggyu, Hyeon Ho, and Jungeun papers will be presented at ICTC 2018, Jeju Island, Korea. See [C30], [C31],. [C32], [C33] for details.
Harim’s paper will be presented in MobiCom 2018 poster, New Delhi, India. The research is about implementation of WiFi preamble detection only using LTE devices based on software-defined radio. See here for details.
A new project on beamforming for drones, “Electrical and Mechanical Drone Beamforming,” has been kicked off. The duration of the research project is 2018~2023. See here for details.
A new journal paper “Performance Analysis of License Assisted Access LTE with Asymmetric Hidden Terminals” has been accepted for publication in IEEE Transactions on Mobile Computing. See here for details.
Kiyoon Kim’s paper has been accepted by AAAI 2018, top conference in the field of artificial intelligence! See here for details.
AiSLab @ EgoVid presents a demonstration on “deep learning-based activity/face recognition based on extreme low resolution” at CVPR 2017. [Read More]
A new journal paper, “Optimal Multiuser Diversity in Multi-Cell MIMO Uplink Networks: User Scaling Law and Beamforming Design,” has been accepted by MDPI Entropy (IF: 1.821)
In this project, we study machine learning-based interference management algorithms for interference management in ultra dense network in pursuit of increasing the system throughput while maintaining the signal overhead feasible.