On the road to 6G: Visions, requirements, key technologies and testbeds

CX Wang, X You, X Gao, X Zhu, Z Li… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …

Reconfigurable intelligent surfaces: Principles and opportunities

Y Liu, X Liu, X Mu, T Hou, J Xu… - … surveys & tutorials, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs), also known as intelligent reflecting surfaces
(IRSs), or large intelligent surfaces (LISs), 1 have received significant attention for their …

Evolution of NOMA toward next generation multiple access (NGMA) for 6G

Y Liu, S Zhang, X Mu, Z Ding, R Schober… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …

Communications in the 6G era

H Viswanathan, PE Mogensen - IEEE access, 2020 - ieeexplore.ieee.org
The focus of wireless research is increasingly shifting toward 6G as 5G deployments get
underway. At this juncture, it is essential to establish a vision of future communications to …

Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization

T Rahman, A Khandakar, MA Kadir, KR Islam… - Ieee …, 2020 - ieeexplore.ieee.org
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one
of the top 10 leading causes of death. Accurate and early detection of TB is very important …

A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

Industrial IoT in 5G-and-beyond networks: Vision, architecture, and design trends

A Mahmood, L Beltramelli, SF Abedin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Cellular networks are envisioned to be a cornerstone in future industrial Internet of Things
(IIoT) wireless connectivity in terms of fulfilling the industrial-grade coverage, capacity …

Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues

A Heidari, N Jafari Navimipour, M Unal… - ACM Computing …, 2023 - dl.acm.org
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

Multi-agent deep reinforcement learning-based trajectory planning for multi-UAV assisted mobile edge computing

L Wang, K Wang, C Pan, W Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is
proposed, where several UAVs having different trajectories fly over the target area and …

Age of information in energy harvesting aided massive multiple access networks

Z Fang, J Wang, Y Ren, Z Han… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Given the proliferation of the massive machine type communication devices (MTCDs) in
beyond 5G (B5G) wireless networks, energy harvesting (EH) aided next generation multiple …