5G-advanced toward 6G: Past, present, and future

W Chen, X Lin, J Lee, A Toskala, S Sun… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Since the start of 5G work in 3GPP in early 2016, tremendous progress has been made in
both standardization and commercial deployments. 3GPP is now entering the second phase …

Adaptable semantic compression and resource allocation for task-oriented communications

C Liu, C Guo, Y Yang, N Jiang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Task-oriented communication is a new paradigm that aims at providing efficient connectivity
for accomplishing intelligent tasks rather than reception of every transmitted bit. This paper …

Leveraging neuro-inspired AI accelerator for high-speed computing in 6G networks

C Lin, MF Azmine, Y Liang, Y Yi - Frontiers in Computational …, 2024 - frontiersin.org
The field of wireless communication is currently being pushed to new boundaries with the
emergence of 6G technology. This advanced technology requires substantially increased …

[PDF][PDF] A novel deep CNN-RNN approach for real-time impulsive sound detection to detect dangerous events

N Smailov, Z Dosbayev, N Omarov… - … Journal of Advanced …, 2023 - researchgate.net
In this research paper, we presented a novel approach to detect impulsive sounds in real-
time using a combination of Deep CNN and RNN architectures. The proposed approach …

Accelerating next-g wireless communications with fpga-based ai accelerators

C Lin, MF Azmine, Y Yi - 2023 IEEE/ACM International …, 2023 - ieeexplore.ieee.org
5G and beyond 5G wireless communication has revolutionized our daily lives. However, the
increased bandwidth and data rate transfer in 5G present challenges, particularly in the …

Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR)

S Jere, Y Wang, I Aryendu, S Dayekh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The increased flexibility and density of spectrum access in 5G New Radio (NR) has made
jamming detection and classification a critical research area. To detect coexisting jamming …

LAMANet: A real-time, machine learning-enhanced approximate message passing detector for massive MIMO

S Brennsteiner, T Arslan, JS Thompson… - … Transactions on Very …, 2022 - ieeexplore.ieee.org
Model-driven machine learning for signal detection in the physical layer of mobile
communication systems combines well-known detector structures with learned parameters …

An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing

MF Azmine - 2024 - vtechworks.lib.vt.edu
In modern communication systems, it's important to detect and use available radio
frequencies effectively. However, current methods face challenges with complexity and …

Towards real-time, machine learning enhanced signal detection in 5G-NR

S Brennsteiner - 2023 - era.ed.ac.uk
Mobile communication technology is essential in our connected society. In 2022, the
deployment of the 5th Generation New Radio (5G-NR) standard is well on its way in many …

[PDF][PDF] Deep Learning Based Non-Contact Communication using Air-Coupled Leaky Lamb Wave

Z Fan, T Zou, Y Ling - 2024 - scholar.archive.org
Ultrasound is used as an alternative to conventional communication in scenarios with
severe electromagnetic shielding and interference. Ultrasonic guided waves, like Lamb …