Extreme ultra-reliable and low-latency communication
J Park, S Samarakoon, H Shiri, MK Abdel-Aziz… - Nature …, 2022 - nature.com
Ultra-reliable and low-latency communication (URLLC) is central to fifth-generation (5G)
communication systems, but the fundamentals of URLLC remain elusive. New immersive …
communication systems, but the fundamentals of URLLC remain elusive. New immersive …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
A very brief introduction to machine learning with applications to communication systems
O Simeone - IEEE Transactions on Cognitive Communications …, 2018 - ieeexplore.ieee.org
Given the unprecedented availability of data and computing resources, there is widespread
renewed interest in applying data-driven machine learning methods to problems for which …
renewed interest in applying data-driven machine learning methods to problems for which …
A review of deep learning in 5G research: Channel coding, massive MIMO, multiple access, resource allocation, and network security
A Ly, YD Yao - IEEE Open Journal of the Communications …, 2021 - ieeexplore.ieee.org
The current development of 5G technology is flourishing with widespread deployment
across the world at a rapid pace. However, there is still a demand concerning 5G research …
across the world at a rapid pace. However, there is still a demand concerning 5G research …
Link performance prediction technologies
J Svennebring, AV Jeyaraj - US Patent 11,159,408, 2021 - Google Patents
Various systems and methods for determining and communicating Link Performance
Predictions (LPPs), such as in connection with management of radio communication links …
Predictions (LPPs), such as in connection with management of radio communication links …
Recent advances in mmWave-radar-based sensing, its applications, and machine learning techniques: A review
Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …
Handover management for mmWave networks with proactive performance prediction using camera images and deep reinforcement learning
Y Koda, K Nakashima, K Yamamoto… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
For millimeter-wave networks, this paper presents a paradigm shift for leveraging time-
consecutive camera images in handover decision problems. While making handover …
consecutive camera images in handover decision problems. While making handover …
When wireless communications meet computer vision in beyond 5G
This article articulates the emerging paradigm, sitting at the confluence of computer vision
and wireless communication, enabling beyond-5G/6G mission-critical applications …
and wireless communication, enabling beyond-5G/6G mission-critical applications …
AI-enabled reliable QoS in multi-RAT wireless IoT networks: Prospects, challenges, and future directions
K Zia, A Chiumento… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Wireless IoT networks have seen an unprecedented rise in number of devices,
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
Communication-efficient multimodal split learning for mmWave received power prediction
The goal of this study is to improve the accuracy of millimeter wave received power
prediction by utilizing camera images and radio frequency (RF) signals, while gathering …
prediction by utilizing camera images and radio frequency (RF) signals, while gathering …