Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
Security concepts in emerging 6G communication: Threats, countermeasures, authentication techniques and research directions
Challenges faced in network security have significantly steered the deployment timeline of
Fifth Generation (5G) communication at a global level; therefore, research in Sixth …
Fifth Generation (5G) communication at a global level; therefore, research in Sixth …
Drones in B5G/6G networks as flying base stations
Advances in the fields of networking, broadband communications and demand for high-
fidelity low-latency last-mile communications have rendered as-efficient-as-possible relaying …
fidelity low-latency last-mile communications have rendered as-efficient-as-possible relaying …
Quantum-inspired machine learning for 6G: Fundamentals, security, resource allocations, challenges, and future research directions
Quantum computing is envisaged as an evolving paradigm for solving computationally
complex optimization problems with a large-number factorization and exhaustive search …
complex optimization problems with a large-number factorization and exhaustive search …
The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems
The fifth generation (5G) of telecommunications networks is currently commercially
deployed. One of their core enabling technologies is cellular Massive Multiple-Input-Multiple …
deployed. One of their core enabling technologies is cellular Massive Multiple-Input-Multiple …
[HTML][HTML] Cell-free massive multiple-input multiple-output challenges and opportunities: A survey
Cell-free (CF) massive multiple-input multiple-output (mMIMO) system is a state-of-the-art
emerging technology targeted towards beyond fifth-generation (B5G) and sixth-generation …
emerging technology targeted towards beyond fifth-generation (B5G) and sixth-generation …
A BAC-NOMA Design for 6 G umMTC With Hybrid SIC: Convex Optimization or Learning-Based?
This paper presents a new backscattering communication (BackCom)-assisted non-
orthogonal multiple access (BAC-NOMA) transmission scheme for device-to-device (D2D) …
orthogonal multiple access (BAC-NOMA) transmission scheme for device-to-device (D2D) …
面向6G 的生成对抗网络研究进展综述
孟婵媛， 熊轲， 高博， 张煜， 樊平毅 - 物联网学报, 2024 - infocomm-journal.com
人工智能(AI, artificial intelligence) 与通信技术的深度融合是6G 网络的典型特征. 一方面, AI
为6G 网络发展注入了新动力, 能够有效利用网络运行产生的历史数据, 使网络具备自维护 …
为6G 网络发展注入了新动力, 能够有效利用网络运行产生的历史数据, 使网络具备自维护 …
Deep Learning for 5G and Beyond
KS Mohamed - … : Autonomous Driving, Artificial Intelligence of Things …, 2023 - Springer
In the 1980s, the first-generation cellular networks (1G) were introduced. From 1 to 5G, a
significant enhancing for the quality of the user experience had been achieved. 5G …
significant enhancing for the quality of the user experience had been achieved. 5G …
Machine learning-based integrated wireless sensing and positioning for cellular network
L Zhang, X Chu, M Zhai - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Integrated sensing and communication (ISAC) is one of the most promising technical
directions in B5G/6G era. Nevertheless, it is challenging for network operators to provide …
directions in B5G/6G era. Nevertheless, it is challenging for network operators to provide …