no code implementations • 15 Jan 2024 • Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Junil Choi, David González G., Marios Kountouris, Yong Liang Guan, Osvaldo Gonsa
Next-generation wireless systems will offer integrated sensing and communications (ISAC) functionalities not only in order to enable new applications, but also as a means to mitigate challenges such as doubly-dispersive channels, which arise in high mobility scenarios and/or at millimeter-wave (mmWave) and Terahertz (THz) bands.
no code implementations • 8 Nov 2023 • Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber
Matching landmark patches from a real-time image captured by an on-vehicle camera with landmark patches in an image database plays an important role in various computer perception tasks for autonomous driving.
no code implementations • 10 Sep 2023 • Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Junil Choi, David González G., Osvaldo Gonsa, Yong Liang Guan, Marios Kountouris
This white paper aims to briefly describe a proposed article that will provide a thorough comparative study of waveforms designed to exploit the features of doubly-dispersive channels arising in heterogeneous high-mobility scenarios as expected in the beyond fifth generation (B5G) and sixth generation (6G), in relation to their suitability to integrated sensing and communications (ISAC) systems.
no code implementations • 31 Mar 2023 • Zann Koh, Yan Qin, Yong Liang Guan, Chau Yuen
However, a crucial challenge in traffic flow forecasting is the slow shifting in temporal peaks between daily and weekly cycles, resulting in the nonstationarity of the traffic flow signal and leading to difficulty in accurate forecasting.
no code implementations • 15 Mar 2023 • Yao Ge, Lei Liu, Shunqi Huang, David González G., Yong Liang Guan, Zhi Ding
Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems.
no code implementations • 6 Mar 2023 • Yan Qin, Yong Liang Guan, Chau Yuen
An accurate vehicle trajectory prediction benefits communication traffic management and network resource allocation for the real-time application of the V2X network.
no code implementations • 17 Feb 2023 • Yao Ge, Qinwen Deng, David González G., Yong Liang Guan, Zhi Ding
This paper investigates an uplink coordinated multi-point (CoMP) coverage scenario, in which multiple mobile users are grouped for sparse code multiple access (SCMA), and served by the remote radio head (RRH) in front of them and the RRH behind them simultaneously.
1 code implementation • IEEE Transactions on Vehicular Technology 2022 • Joash Lee, Yanyu Cheng, Dusit Niyato, Yong Liang Guan, David González G.
In this paper, we propose a framework for intelligent vehicles to conduct JRC, with minimal prior knowledge of the system model and a tunable performance balance, in an environment where surrounding vehicles execute radar detection periodically, which is typical in contemporary protocols.
1 code implementation • IEEE Wireless Communications and Networking Conference (WCNC) 2022 • Joash Lee, Yanyu Cheng, Dusit Niyato, Yong Liang Guan, G David González
In addition, experimental results show that the trained deep reinforcement learning agents are robust to changes in the number of vehicles in the environment.
no code implementations • 3 Sep 2021 • Bo Yang, Xuelin Cao, Chongwen Huang, Yong Liang Guan, Chau Yuen, Marco Di Renzo, Dusit Niyato, Merouane Debbah, Lajos Hanzo
In the sixth-generation (6G) era, emerging large-scale computing based applications (for example processing enormous amounts of images in real-time in autonomous driving) tend to lead to excessive energy consumption for the end users, whose devices are usually energy-constrained.