Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …

M Imran, U Zaman, Imran, J Imtiaz, M Fayaz, J Gwak - Electronics, 2021 - mdpi.com
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …

[PDF][PDF] Imran; Imtiaz, J.; Fayaz, M.; Gwak, J. Comprehensive Survey of IoT

M Imran, U Zaman - Machine Learning, and Blockchain …, 2021 - pdfs.semanticscholar.org
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …

Stein variational gradient descent-based detection for random access with preambles in mtc

X Zhu, H Pan, S Atici, AE Cetin - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Traditional preamble detection algorithms have low accuracy in the grant-based random
access scheme in massive machine-type communication (mMTC). We present a novel …

Integrated 2-4 Step Random Access for Heterogeneous and Massive IoT Devices

Y Piao, TJ Lee - IEEE Transactions on Green Communications …, 2023 - ieeexplore.ieee.org
Since massive number of User Equipment (UE) s will cause more collisions and increase
delay, improved Random Access (RA) methods have been researched and proposed. With …

Rate-splitting random access mechanism for massive machine type communications in 5G cellular Internet-of-Things

YS Reddy, G Chopra, A Dubey, A Kumar… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
The cellular Internet-of-Things has resulted in the deployment of millions of machine type
communication (MTC) devices under the coverage of a single gNodeB (gNB). These …

Random Access and Uplink Shared Channel Resource Allocation with NOMA

KM Kim, TJ Lee - IEEE Transactions on Mobile Computing, 2023 - ieeexplore.ieee.org
In a cellular network, User Equipments (UEs) have to conduct the Random Access (RA)
procedure with the Base Station (BS) before transmitting data. In the conventional four-step …

The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Massive Random Access

X Zhu, AE Cetin - arXiv preprint arXiv:2403.18846, 2024 - arxiv.org
The lack of an efficient preamble detection algorithm remains a challenge for solving
preamble collision problems in intelligent massive random access (RA) in practical …

An enhanced reliable access scheme for massive IoT applications in ubiquitous IoT systems

Y Peng, Y Shi, C Wang - Wireless Communications and Mobile …, 2022 - Wiley Online Library
As a key infrastructure for intelligent manufacturing, the Industrial Internet of Things (IIoT)
can connect people, massive intelligent terminals, automated control equipment, and …

一种固定位置MTC 设备的随机接入改进算法.

陈发堂, 杨夏, 李鹏飞 - Telecommunication Engineering, 2023 - search.ebscohost.com
针对海量机器类通信(Massive Machine Type Communications, mMTC) 场景下传统随机接入
存在大量前导碰撞问题, 提出了一种对终端侧和基站侧的接入改进算法, 利用前导标记序列和 …

Green machine learning protocols for machine-to-machine communication

SR Yeduri, S Jeeru… - Green Machine Learning …, 2023 - taylorfrancis.com
The massive machine-to-machine communication (mM2M) has led to several research
challenges in 5G cellular Internet-of-Things (IoT). Here, radio access network congestion is …