Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

Federated multi-agent deep reinforcement learning (fed-madrl) for dynamic spectrum access

HH Chang, Y Song, TT Doan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic spectrum access (DSA) has been introduced as a promising technology that allows
a secondary system to access the licensed spectrum of the primary system to improve …

Toward ubiquitous and intelligent 6G networks: From architecture to technology

W Xu, Y Huang, W Wang, F Zhu… - Science China …, 2023 - search.proquest.com
The sixth-generation (6G) network is envisioned to support growing Internet connections
with the requirements of higher transmission rate, higher reliability, lower latency, etc. While …

Intelligent-CW: AI-based framework for controlling contention window in WLANs

AHY Abyaneh, M Hirzallah… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The heterogeneity of technologies that operate over the unlicensed 5 GHz spectrum, such
as LTE-Licensed-AssistedAccess (LAA), 5G New Radio Unlicensed (NR-U), and WiFi, calls …

智能无线通信技术研究概况

梁应敞, 谭俊杰 - 通信学报, 2020 - infocomm-journal.com
近年来, 人工智能技术已被应用于无线通信领域, 以解决传统无线通信技术面对信息爆炸和万物
互联等新发展趋势所遇到的瓶颈问题. 首先介绍深度学习, 深度强化学习和联邦学习三类具有 …

[PDF][PDF] 基于深度学习的物理层无线通信技术: 机遇与挑战

桂冠, 王禹, 黄浩 - Journal on Communication/Tongxin …, 2019 - infocomm-journal.com
对无线通信系统的高可靠性与超高容量需求促进了第五代移动通信(5G) 的发展, 然而,
随着通信系统的日益复杂, 现有的物理层无线通信技术难以满足这些高的性能需求. 目前 …