A comprehensive survey on clustering in vehicular networks: Current solutions and future challenges

M Ayyub, A Oracevic, R Hussain, AA Khan, Z Zhang - Ad Hoc Networks, 2022 - Elsevier
Vehicular networks are on the verge of deployment, thanks to the advancements in
computation and communication technologies. This breed of ad hoc networks leverages …

Survey and taxonomy of clustering algorithms in 5G

MF Khan, KLA Yau, RMD Noor, MA Imran - Journal of Network and …, 2020 - Elsevier
The large-scale deployment of fifth generation (5G) is expected to produce a massive
amount of data with high variability due to ultra-densification and the rapid increase in a …

Deep reinforcement learning based massive access management for ultra-reliable low-latency communications

H Yang, Z **ong, J Zhao, D Niyato… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid deployment of the Internet of Things (IoT), fifth-generation (5G) and beyond
5G networks are required to support massive access of a huge number of devices over …

Efficient resource allocation in fast-uplink grant for machine-type communications with NOMA

M El Tanab, W Hamouda - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Efficient uplink access is a keystone for the successful deployment of machine-type
communication (MTC) that enables the promising Internet of Things (IoT). In this article, we …

Clustering and resource allocation strategy for D2D multicast networks with machine learning approaches

F Jiang, L Zhang, C Sun, Z Yuan - China Communications, 2021 - ieeexplore.ieee.org
In this paper, the clustering and resource allocation problem in device-to-device (D2D)
multicast transmission underlay cellular networks are investigated. For the sake of …

Multiagent reinforcement learning meets random access in massive cellular Internet of Things

J Bai, H Song, Y Yi, L Liu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) has attracted considerable attention in recent years due to its
potential of interconnecting a large number of heterogeneous wireless devices. However, it …

Pilot optimization for OFDM-based ISAC signal in emergency IoT networks

W Zhu, Y Han, L Wang, L Xu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In emergency rescue scenarios, the communication infrastructure is often compromised, and
GPS may be denied. Rescue teams employ various Internet of Things (IoT) devices …

Distributed learning-based resource allocation for self-organizing C-V2X communication in cellular networks

N Banitalebi, P Azmi, N Mokari, AH Arani… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
In this paper, we investigate a resource allocation problem for a Cellular Vehicle to
Everything (C-V2X) network to improve energy efficiency of the system. To address this …

Grant-free opportunistic uplink transmission in wireless-powered IoT: A spatio-temporal model

M Gharbieh, H ElSawy, M Emara… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Ambient radio frequency (RF) energy harvesting is widely promoted as an enabler for
wireless-power Internet of Things (IoT) networks. This article jointly characterizes energy …

Enhancement of cellular networks via an improved clustering technique with D2D communication for mission-critical applications

A Elshrkasi, K Dimyati, KAB Ahmad… - Journal of Network and …, 2022 - Elsevier
In disasters, whether natural or man-made, establishing a wireless network to recover the
damaged or destroyed cellular network infrastructure is very important to save lives. Network …