Models, methods, and solutions for multicasting in 5G/6G mmWave and sub-THz systems
Multicasting in wireless access networks is a functionality that, by leveraging group
communications, turns out to be essential for reducing the amount of resources needed to …
communications, turns out to be essential for reducing the amount of resources needed to …
A survey on machine learning techniques for massive MIMO configurations: Application areas, performance limitations and future challenges
PK Gkonis - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled
the support of highly demanding applications, paving the way towards global broadband …
the support of highly demanding applications, paving the way towards global broadband …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
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 …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Beyond Complexity Limits: Machine Learning for Sidelink-Assisted mmWave Multicasting in 6G
The latest technological developments have fueled revolutionary changes and
improvements in wireless communication systems. Among them, mmWave spectrum …
improvements in wireless communication systems. Among them, mmWave spectrum …
QSPCA: A two-stage efficient power control approach in D2D communication for 5G networks
The existing literature on device-to-device (D2D) architecture suffers from a dearth of
analysis under imperfect channel conditions. There is a need for rigorous analyses on the …
analysis under imperfect channel conditions. There is a need for rigorous analyses on the …
[HTML][HTML] AIDETECT2: A Novel AI-Driven Signal Detection Approach for beyond 5G and 6G Wireless Networks
Artificial intelligence (AI) is revolutionizing multiple-input-multiple-output (MIMO) technology,
making it a promising contender for the coming sixth-generation (6G) and beyond-fifth …
making it a promising contender for the coming sixth-generation (6G) and beyond-fifth …
Social-aware D2MD user grouping based on game theory and deep Q-learning
J Liu, J Wen, Y Xie, L Lin, W Zhou - Peer-to-Peer Networking and …, 2023 - Springer
Abstract Device-to-Multi-Device (D2MD) communication shows great advantages in
maximizing the offloading of Base Station (BS). At present, the main research works are …
maximizing the offloading of Base Station (BS). At present, the main research works are …
Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G
Device to Device (D2D) communication in Fifth Generation (5G) and unavoidable in Beyond
Fifth Generation (B5G) technology is designed to increase network capacity by offloading …
Fifth Generation (B5G) technology is designed to increase network capacity by offloading …
A sequential approach with machine in ultra-dense 5G D2D networks
This work intends to resource allocation in ultra-dense networks for device-to-device (D2D)
communication in the underlying cellular networks. This work proposes, particularly, many-to …
communication in the underlying cellular networks. This work proposes, particularly, many-to …
Deep Reinforcement Learning-based Adaptive Clustering Approach in Short Video Sharing through D2D Communication
W Dong, Z Li, X Chen - 2021 IEEE Intl Conf on Parallel & …, 2021 - ieeexplore.ieee.org
With the rapid popularity of short video applications, short videos sharing based on D2D
multicast communication is considered as a promising technology to improve the quality of …
multicast communication is considered as a promising technology to improve the quality of …