Quantum-enhanced OFDM signal processing: advancing 5G mobile network and IoT communication for healthcare application

R Kumar - Optical and Quantum Electronics, 2024 - Springer
The advent of 5G technology has transformed the way that wireless networks and Internet of
Things devices communicate, offering new opportunities in healthcare applications …

Reinforcement Learning for Dynamic Traffic Routing and Optimization

S Ebadinezhad, A Conteh, KA Ali… - 2024 International …, 2024 - ieeexplore.ieee.org
This paper addresses the rapidly evolving and expanding needs of network traffic with new
methods, most notably Reinforcement Learning (RL). The RL has shown significant potential …

Risk Aware Data Congestion Limiting Technique (RA-DCLT) for Vehicular Communication.

B DHAKAD, S AKASHE, SS OJHA… - Journal of Active & …, 2024 - search.ebscohost.com
Vehicular Communication becomes growing research field due to continuously increasing
vehicles density and that causes traffic jams, road accidents etc. These problems can be …

[PDF][PDF] Data Perturbation for Pervasive Edge Computing Environments Using Iterative Randomised Parallel Variable Perturbation in Wireless Sensor Network

MG Shukur, MG Anuradha, L Niranjan, MM Ahmed… - 2023 - assets-eu.researchsquare.com
The reduction in the size of Packet Forwarding Nodes (PFNs) is a direct consequence of
technological advancements in wireless sensor networks (WSN). Each node has an extra …

Developing a pervasive edge computing environment for Vehicular Communication using modified Reinforcement Learning in Routing and Dynamic Traffic Flow …

AS Alqahtani, J Ramakrishnan, M Saravanan… - 2023 - researchsquare.com
Vehicular networking in smart autonomous connected vehicle communications evolved with
high mobility and due to high dynamics in an urban environment, new challenges are …

Frequency Planning for Optimized Resource Allocation in High-Density Networks Using Machine Learning

BO Omijeh, JO Aji, I Uchendu - European Journal of Theoretical and …, 2024 - ejtas.com
Frequency resource allocation in high-density networks generates significant challenges,
particularly in environments with changing user demands in the midst of high congestion …

[PDF][PDF] Congestion Control System Optimization with the Use of Vehicle Edge Computing in VANET Powered by Machine Learning

VMN Ahamed, K Sivaraman, T Nadu - ijcna.org
Vehicular Ad Hoc Networks (VANETs) have recently given rise to a wide range of
applications for security, infotainment, rescue, and safety-related reasons. The future of V2V …

[引用][C] Deep Neural Network-Based Backhaul Algorithm in Emergency Communication Base Stations Under Large-Scale MIMO Ad hoc Network Scenarios

X Chen, Z Feng - Journal of Circuits, Systems and Computers, 2024 - World Scientific
Emergency communication is a key link to ensure the stable operation of communication
networks. And large-scale multiple-input multiple-output (MIMO) technology can significantly …