Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

[PDF][PDF] Statistical tools and methodologies for urllc-a tutorial

OA López, M Shehab, NH Mahmood, H Alves… - Authorea …, 2022 - techrxiv.org
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 …

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 …

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 …

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 …

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 …

Traffic prediction and fast uplink for hidden Markov IoT models

E Eldeeb, M Shehab, AE Kalør… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
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 …

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 …

Dynamic automatic forecaster selection via artificial neural network based emulation to enable massive access for the Internet of Things

M Nakıp, E Çakan, V Rodoplu, C Güzeliş - Journal of Network and …, 2022 - Elsevier
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 …

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 …