Performance analysis of RIS/STAR-IOS-aided V2V NOMA/OMA communications over composite fading channels
In this article, we explore the communication performance of vehicle-to-vehicle (V2V)
networks assisted by a reconfigurable intelligent surface (RIS) and a simultaneous …
networks assisted by a reconfigurable intelligent surface (RIS) and a simultaneous …
Resource allocation in V2X communication: State-of-the-art and research challenges
A Nair, S Tanwar - Physical Communication, 2024 - Elsevier
This paper explores the multifaceted domain of resource allocation (RA) in vehicle-to-
everything (V2X) communication, emphasizing its pivotal role in advancing intelligent …
everything (V2X) communication, emphasizing its pivotal role in advancing intelligent …
Aerial STAR-RIS empowered MEC: A DRL approach for energy minimization
Multi-access Edge Computing (MEC) addresses computational and battery limitations in
devices by allowing them to offload computation tasks. To overcome the difficulties in …
devices by allowing them to offload computation tasks. To overcome the difficulties in …
Simultaneously Transmitting and Reflecting Surfaces for Ubiquitous Next Generation Multiple Access in 6G and Beyond
The ultimate goal of next generation multiple access (NGMA) is to support massive terminals
and facilitate multiple functionalities over the limited radio resources of wireless networks in …
and facilitate multiple functionalities over the limited radio resources of wireless networks in …
[HTML][HTML] An optimal resource assignment and mode selection for vehicular communication using proximal on-policy scheme
Abstract Vehicle-to-everything (V2X) communication is essential in 5G and upcoming
networks as it enables seamless interaction between vehicles and infrastructure, ensuring …
networks as it enables seamless interaction between vehicles and infrastructure, ensuring …
A Hybrid Multi-Agent Reinforcement Learning Approach for Spectrum Sharing in Vehicular Networks
Efficient spectrum sharing is essential for maximizing data communication performance in
Vehicular Networks (VNs). In this article, we propose a novel hybrid framework that …
Vehicular Networks (VNs). In this article, we propose a novel hybrid framework that …
Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis
This paper investigates autonomous driving safety improvement via task offloading from
cellular vehicles (CVs) to a multi-access edge computing (MEC) server using vehicle-to …
cellular vehicles (CVs) to a multi-access edge computing (MEC) server using vehicle-to …
Proximal Policy Optimization for Energy-Efficient MEC Systems with STAR-RIS Assistance
The growing popularity of Internet of Things (IoT) devices has led to an escalating demand
for efficient data processing and transmission solutions. The concept of Mobile Edge …
for efficient data processing and transmission solutions. The concept of Mobile Edge …
Investigating Multi-User Spectrum Allocation Algorithms in 6G Networks
S Gupta, P Singhal, P Aggarwal… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The Investigating Multi-user Spectrum Allocation Algorithms in 6G Networks project targets
to discover the potentials of Multi-person Spectrum Allocation (MUSA) Algorithms in 6G …
to discover the potentials of Multi-person Spectrum Allocation (MUSA) Algorithms in 6G …
[引用][C] Enhancing Wireless Networks: A STAR-RIS-Assisted MEC Approach for Minimizing Total Task Completion Delay
Mobile edge computing (MEC) brings computing resources closer to the edge of wireless
networks to reduce latency, enhance performance, and support low-latency, real-time …
networks to reduce latency, enhance performance, and support low-latency, real-time …