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 …

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 …

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 survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks

O Maraqa, AS Rajasekaran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The ambitious high data-rate applications in the envisioned future beyond fifth-generation
(B5G) wireless networks require new solutions, including the advent of more advanced …

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 …

Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future

SJ Nawaz, SK Sharma, S Wyne, MN Patwary… - IEEE …, 2019 - ieeexplore.ieee.org
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

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 …

Reliable computation offloading for edge-computing-enabled software-defined IoV

X Hou, Z Ren, J Wang, W Cheng, Y Ren… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has drawn great interest recent years. Various IoV applications
have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing …