A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era

MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …

NOMA and future 5G & B5G wireless networks: A paradigm

U Ghafoor, M Ali, HZ Khan, AM Siddiqui… - Journal of Network and …, 2022 - Elsevier
For the last few decades, wireless communication has been facing a technological
revolution. High data rate and continuous connectivity are the necessities because the …

Performance optimization for semantic communications: An attention-based reinforcement learning approach

Y Wang, M Chen, T Luo, W Saad… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, a semantic communication framework is proposed for textual data
transmission. In the studied model, a base station (BS) extracts the semantic information …

The road to next-generation multiple access: A 50-year tutorial review

Y Liu, C Ouyang, Z Ding, R Schober - Proceedings of the IEEE, 2024 - ieeexplore.ieee.org
The evolution of wireless communications has been significantly influenced by remarkable
advancements in multiple access (MA) technologies over the past five decades, sha** the …

Machine learning empowered emerging wireless networks in 6G: Recent advancements, challenges and future trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …

Distributed task offloading and resource purchasing in NOMA-enabled mobile edge computing: Hierarchical game theoretical approaches

Y Chen, J Zhao, J Hu, S Wan, J Huang - ACM Transactions on …, 2024 - dl.acm.org
As the computing resources and the battery capacity of mobile devices are usually limited, it
is a feasible solution to offload the computation-intensive tasks generated by mobile devices …

A DQN-based frame aggregation and task offloading approach for edge-enabled IoMT

X Yuan, Z Zhang, C Feng, Y Cui, S Garg… - … on Network Science …, 2022 - ieeexplore.ieee.org
The rapid expansion of wearable medical devices and health data of Internet of Medical
Things (IoMT) poses new challenges to the high Quality of Service (QoS) of intelligent health …

Resource allocation for IRS assisted SGF NOMA transmission: A MADRL approach

J Chen, L Guo, J Jia, J Shang… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission has
been viewed as one of the promising technologies to meet massive connectivity …

Adaptive resource allocation for semantic communication networks

L Wang, W Wu, F Zhou, Z Yang, Z Qin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …

AI-empowered multiple access for 6G: A survey of spectrum sensing, protocol designs, and optimizations

X Cao, B Yang, K Wang, X Li, Z Yu… - Proceedings of the …, 2024 - ieeexplore.ieee.org
With the rapidly increasing number of bandwidth-intensive terminals capable of intelligent
computing and communication, such as smart devices equipped with shallow neural …