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 …
[PDF][PDF] Statistical tools and methodologies for urllc-a tutorial
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
Energy-efficient wake-up signalling for machine-type devices based on traffic-aware long short-term memory prediction
DE Ruíz-Guirola, CA Rodríguez-López… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Reducing energy consumption is a pressing issue in low-power machine-type
communication (MTC) networks. In this regard, the Wake-up Signal (WuS) technology, which …
communication (MTC) networks. In this regard, the Wake-up Signal (WuS) technology, which …
Performance analysis of ML-based MTC traffic pattern predictors
DE Ruíz-Guirola, OLA López… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Prolonging the lifetime of massive machine-type communication (MTC) networks is key to
realizing a sustainable digitized society. Great energy savings can be achieved by …
realizing a sustainable digitized society. Great energy savings can be achieved by …
Intelligent random access for massive-machine type communications in sliced mobile networks
B Yang, F Wei, X She, Z Jiang, J Zhu, P Chen, J Wang - Electronics, 2023 - mdpi.com
With the emerging Internet of Things paradigm, massive Machine-Type Communication
(mMTC) has been identified as one of the prominent services that enables a broad range of …
(mMTC) has been identified as one of the prominent services that enables a broad range of …
Spatial-separable NOMA-based intelligent hierarchical fast uplink grant for mURLLC over cell-free networks
J Wang, J Li, P Zhu, D Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Massive ultrareliable and low-latency communications (mURLLCs) have emerged as a
dominating 6G-standard service. Fast uplink grant is an effective means to solve the uplink …
dominating 6G-standard service. Fast uplink grant is an effective means to solve the uplink …
Traffic prediction and fast uplink for hidden Markov IoT models
In this work, we present a novel traffic prediction and fast uplink (FU) framework for IoT
networks controlled by binary Markovian events. First, we apply the forward algorithm with …
networks controlled by binary Markovian events. First, we apply the forward algorithm with …
Priority‐aware intelligent device access management for carbon footprint monitoring in sustainable cites and society
X Su, P Liu, Z Wang, H Liao, Z Zhou, G Xu… - IET …, 2023 - Wiley Online Library
Carbon footprint monitoring provides significant basis for computing facilities to improve the
computing efficiency and reduce the energy cost, which can enable low/zero carbon …
computing efficiency and reduce the energy cost, which can enable low/zero carbon …
Dynamic automatic forecaster selection via artificial neural network based emulation to enable massive access for the Internet of Things
Abstract The Massive Access Problem of the Internet of Things (IoT) occurs at the uplink
Medium Access Control (MAC) layer when a massive number of IoT devices seek to transfer …
Medium Access Control (MAC) layer when a massive number of IoT devices seek to transfer …
RACH Traffic Prediction in Massive Machine Type Communications
H Mehri, H Chen, H Mehrpouyan - arXiv preprint arXiv:2405.05235, 2024 - arxiv.org
Traffic pattern prediction has emerged as a promising approach for efficiently managing and
mitigating the impacts of event-driven bursty traffic in massive machine-type communication …
mitigating the impacts of event-driven bursty traffic in massive machine-type communication …