Computation Rate Maximization for SCMA-Aided Edge Computing in IoT Networks: A Multi-Agent Reinforcement Learning Approach

P Liu, K An, J Lei, Y Sun, W Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Integrating sparse code multiple access (SCMA) and mobile edge computing (MEC) into the
Internet of Things (IoT) networks can enable efficient connectivity and timely computation for …

From 5G to 6G Networks, a Survey on AI-Based Jamming and Interference Detection and Mitigation

P Lohan, B Kantarci, MA Ferrag… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …

A Deep Reinforcement Learning-based Two-dimensional Resource Allocation Technique for V2I communications

H Jin, J Seo, J Park, SC Kim - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a two-dimensional resource allocation technique for vehicle-to-
infrastructure (V2I) communications. Vehicular communications requires high data rates, low …

Spectrum-Energy-Efficient Mode Selection and Resource Allocation for Heterogeneous V2X Networks: A Federated Multi-Agent Deep Reinforcement Learning …

J Gui, L Lin, X Deng, L Cai - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Heterogeneous communication environments and broadcast feature of safety-critical
messages bring great challenges to mode selection and resource allocation problem. In this …

Multi-Agent Best Routing in High Mobility Digital-Twin-Driven Internet of Vehicles (IoVs)

MZ Alam, KS Khan, A Jamalipour - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Low-delay high-gain optimal multihop routing path is crucial to guarantee both the latency
and reliability requirements for infotainment services in the high-mobility Internet of Vehicles …

Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning

Z Shao, Q Wu, P Fan, N Cheng, W Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
This work aims to investigate semantic communication in high-speed mobile Internet of
vehicles (IoV) environments, with a focus on the spectrum sharing between vehicle-to …

Cooperative vehicular networks over Nakagami-m fading: Joint power control and spectrum scheduling

G Zhang, W Cao, X Gu - Computer Networks, 2023 - Elsevier
Facilitated by the rapid development of wireless communication technologies and the broad
deployment of cellular networks, vehicular communications have evolved towards ultra …

Communication-efficient decision-making of digital twin assisted Internet of vehicles: A hierarchical multi-agent reinforcement learning approach

X Fu, Q Yuan, S Liu, B Li, Q Qi… - China Communications, 2023 - ieeexplore.ieee.org
The connected autonomous vehicle is considered an effective way to improve transport
safety and efficiency. To overcome the limited sensing and computing capabilities of …

[PDF][PDF] Optimizing Downlink Resource Allocation for High-Speed LTE-V Networks Through Intelligent Scheduling

SH Alrubaee, SK Al-jaff… - Journal of Communications, 2024 - researchgate.net
The rapid expansion of vehicular communication systems emphasizes the integration of LTE-
V networks, crucial for applications like road safety, traffic management, and infotainment …

Improving Network Performance and Coverage Using Contract-based Incentivized V2V Communications

S Saraydar, F Tabataba - Authorea Preprints, 2023 - techrxiv.org
In recent years, there has been a significant increase in vehicles, resulting in areas that are
unable to supply online connectivity, due to the lack of infrastructure development, and high …