Multiple access techniques for intelligent and multi-functional 6G: Tutorial, survey, and outlook

B Clerckx, Y Mao, Z Yang, M Chen, A Alkhateeb… - arXiv preprint arXiv …, 2024 - arxiv.org
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …

Intelligent and robust UAV-aided multiuser RIS communication technique with jittering UAV and imperfect hardware constraints

ABM Adam, X Wan, MAM Elhassan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we investigate unmanned aerial vehicle (UAV)-aided multiuser reconfigurable
intelligent surface (RIS) communication for next generation communication networks. We …

A multi-agent reinforcement learning approach for massive access in NOMA-URLLC networks

H Han, X Jiang, W Lu, W Zhai, Y Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Ultra-reliable low-latency communication (URLLC) enables diverse applications with
rigorous latency and reliability requirements. To provide a wide range of services, the future …

Artificial Intelligence-based Fair Allocation in NOMA Technique: A Review

S Kirtay, K Yildiz, VG Bocekci - International Journal of Sensors …, 2024 - benthamdirect.com
Non-Orthogonal Multiple Access (NOMA) is an innovation that has great potential in wireless
communication. It permits multiple users to efficiently allot a frequency band by adjusting …

Real-time and security-aware precoding in RIS-Empowered multi-user wireless networks

A Adam, MA Ouamri, MSA Muthanna, X Li… - arXiv preprint arXiv …, 2023 - arxiv.org
In this letter, we propose a deep-unfolding-based framework (DUNet) to maximize the
secrecy rate in reconfigurable intelligent surface (RIS) empowered multi-user wireless …

Improving policy training for autonomous driving through randomized ensembled double Q-learning with Transformer encoder feature evaluation

J Fan, X Zhang, Y Zou, Y Li, Y Liu, W Sun - Applied Soft Computing, 2024 - Elsevier
In the burgeoning field of autonomous driving, reinforcement learning (RL) has gained
prominence for its adaptability and intelligent decision-making. However, conventional RL …

Intelligent cloud-edge collaborations assisted energy-efficient power control in heterogeneous networks

L Zhang, J Peng, J Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We consider a typical heterogeneous network (HetNet), which consists of a macro base
station (BS) and multiple small BSs sharing the same spectrum band. Since the spectrum …

A Novel Technique for Creating Optical Multi-carrier Generation Using Nested Electro-Absorption Modulators

MH Alwan, YI Hammadi, MA Muhi… - … on Distributed Computer …, 2022 - Springer
In this paper, we present and quantitatively show a novel technique for the creation of an
optically multi-carrier that is founded upon single and nested electro-absorption modulators …

Enhancing Secrecy in UAV RSMA Networks: Deep Unfolding Meets Deep Reinforcement Learning

ABM Adam, MAM Elhassan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In this paper, we consider the maximization of the secrecy rate in multiple unmanned aerial
vehicles (UAV) rate-splitting multiple access (RSMA) network. A joint beamforming, rate …

Energy-Efficient Transmission Strategy for Delay Tolerable Services in NOMA-Based Downlink with Two Users

M Bai, R Zhu, J Guo, F Wang, L Wang, H Zhu… - IEEE …, 2023 - ieeexplore.ieee.org
With the continuous development of the communication industry, there is a shift in real-time
services from 4G networks to Delay Tolerable (DT) services in the context of 5G/B5G …