V2X Communication Research Articles

Drone-Assisted Cooperative Routing Scheme for Seamless Connectivity in V2X Communication

Drone-Assisted Cooperative Routing Scheme for Seamless Connectivity in V2X Communication

EH From V2X Communications: The Price of Uncertainty and the Impact of Platooning

EH From V2X Communications: The Price of Uncertainty and the Impact of Platooning

Federated Learning Driven Sparse Code Multiple Access in V2X Communications

Federated Learning Driven Sparse Code Multiple Access in V2X Communications

Beam Alignment in mmWave V2X Communications: A Survey

Beam Alignment in mmWave V2X Communications: A Survey

Power Efficient Handoff Management in Hybrid V2X Communication: Game-Theoretic Approach to Resource Allocation with Load Reduction

Power Efficient Handoff Management in Hybrid V2X Communication: Game-Theoretic Approach to Resource Allocation with Load Reduction

Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications

Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications

Semantic V2X Communications for Image Transmission in 6G Systems

Semantic V2X Communications for Image Transmission in 6G Systems

Fuzzy Logic Based Binary Computation Offloading Scheme in V2X Communication Networks

Fuzzy Logic Based Binary Computation Offloading Scheme in V2X Communication Networks

Wireless Access for V2X Communications: Research, Challenges and Opportunities

Wireless Access for V2X Communications: Research, Challenges and Opportunities

Exploring Secure V2X Communication Networks for Human-Centric Security and Privacy in Smart Cities

Exploring Secure V2X Communication Networks for Human-Centric Security and Privacy in Smart Cities

Linear Stability of Heterogeneous Traffic Flow Incorporating V2X Communication and Intra-Platoon Spatial Distribution

Linear Stability of Heterogeneous Traffic Flow Incorporating V2X Communication and Intra-Platoon Spatial Distribution

Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communications

Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communications

Joint Resource Allocation for UAV-assisted V2X Communication with Mean Field Multi-Agent Reinforcement Learning

Joint Resource Allocation for UAV-assisted V2X Communication with Mean Field Multi-Agent Reinforcement Learning

Stackelberg Game-based Crowdsourcing for Hybrid V2X Communications

Stackelberg Game-based Crowdsourcing for Hybrid V2X Communications

Narrow band of vehicular things communication system using hybrid pelican-beetle swarm optimization approach for intelligent transportation system

Congestion is caused by the continually expanding number of vehicles worldwide. Intelligent Transportation Systems (ITSs) could be used to build a system that efficiently uses the existing infrastructure and current technological advancements. Several Vehicular applications use the restricted vehicle battery in V2X systems, and a key concern is communication secrecy. Earlier research has focused on channel measurement, autonomous piloting, high-speed transmissions, secretive communications, and QoS analysis but battery-limited V2X has received far less attention. Therefore, resolving the abovementioned complications in the current model is imperative. Thus, a new V2X communication model is developed based on NB-IoT (NarrowBand Internet of Things) approaches. NB -IoT is utilized in the V2X communication model to offer low-cost, high-range, and minimal power to the communication environment. The objective of the proposed NarrowBand of Vehicular Things Communication (NBVTCS)System is to analyze the performance metrics of vehicular communication including energy efficiency rate with different SNR, bit error rate with different vehicular positions, and overall throughput of the system. The simulation was carried out to attain an effective energy efficiency rate, the system's transmit power, bit error rate, and overall system throughput. The proposed vehicular architecture also optimized the abovementioned vehicular metrics with the help of the proposed Hybrid Pelican Beetle Swarm Optimization (HPBSO) approach to achieve a higher accuracy in communication parameters. Finally, the simulation outcome demonstrates that the developed vehicular model is achieved with a minimal energy consumption rate and maximum throughput and also compares the proposed HPBSO technique with other optimization techniques including DOX, EFO, POA, and BSO.

Handover mechanisms in VMC systems: Evaluating the reliability of V2X as an alternative to fiber networks in handover areas

Despite advances in communication ways in autonomous driving, including Vehicle-to-Vehicle Communication (V2V), Vehicle-to-Everything Communication (V2X) and Vehicular Micro-clouds (VMC). In this paper, the potential of V2X as a substitution for the artificial connections (mainly optical-fiber cables) between base stations and edge servers are discussed. The quality and latency of communication in Handshake--referring to the scenario of cars moving from one stations operation scope to another ones, is mainly concerned, within the frame of VMC. Additionally, the communication performance, referring to latency performance and data rate performance, for both pure V2X and a combination of LTE and V2X are simulated and analyzed using a Python simulator. Finally, the test results showed that the performance of pure V2X Communication is always superior compared with any combination in every categories as the density of cars gradually increase, which confirms that replace physical inter-station-cables as V2X communication is serious possibility.

Dynamic Resource Allocation Approach for Interference Mitigation based on NOMA in Network Operating in Both Uplink and Downlink

The new notion of Internet of Vehicles (IoV) supports Vehicle-to-Everything (V2X) communications, which play a very important role in 5G systems. Ultra-Dense-Network (UDN) and the new scheme Non-orthogonal multiple access (NOMA) are two important concepts to meet the requirements of V2X services with their remarkable capacity. However, the concept of NOMA technology, which allows multiple vehicles to be served by the same resource, can lead to interference between different active users. In addition, the extensive placement of small base stations (SBS) in UDN causes severe interference and degrades the network performance. To solve these problems, interference mitigation is widely used to avoid interference in NOMA-based UDN. In this document, we suggested a dynamic resource allocation method named Intra-cell-Inter-cell Interference Mitigation for V2X communication for UDN in uplink and downlink sense (Intra-Inter IMVN). Our algorithm aims to achieve five principals objectives, namely applying the same algorithm for both downlink and uplink modes, reducing the degree of interference, improving network performance in aspects like error rates and throughput, minimizing cost and delay when using this alternative, combining dynamic metrics to support many V2X scenarios and requirements, and dealing with two categories of interference such as inter-cell interference and intra-cell interference. Numerical results demonstrate that our suggested Intra-Inter IMVN approach offers higher performance compared to other existing algorithms as a function of various parameters.

An Improved Hybrid Beamforming Algorithm for Fast Target Tracking in Satellite and V2X Communication

Autonomous remote sensing systems establish communication links between nodes. Ensuring coverage and seamless communication in highly dense environments is not a trivial task as localization, separation, and tracking of targets, as well as interference suppression, are challenging. Therefore, smart antenna systems fulfill these requirements by employing beamforming algorithms and are considered a key technology for autonomous remote sensing applications. Among many beamforming algorithms, the recursive least square (RLS) algorithm has proven superior convergence and convergence rate performances. However, the tracking performance of RLS degrades in the case of dynamic targets. The forgetting factor in RLS needs to be updated constantly for fast target tracking. Additionally, multiple beamforming algorithms can be combined to increase tracking performance. An improved hybrid constant modulus RLS beamforming algorithm with an adaptive forgetting factor and a variable regularization factor is proposed. The forgetting factor is updated using the low-complexity yet robust adaptive moment estimation method (ADAM). The sliding-window technique is applied to the proposed algorithm to mitigate the steady-state noise. The proposed algorithm is compared with existing RLS-based algorithms in terms of convergence, convergence rate, and computational complexity. Based on the results, the proposed algorithm has at least 10 times better convergence (accuracy) and a convergence rate two times faster than the compared RLS-based algorithms.

Cost-effective and highly accurate antenna with built-in calibration for V2X communications

This paper presents a phased array system (PAS) with built-in calibration to reduce cost and improve the accuracy for vehicle-to-everything (V2X) communications. Unlike other high-complexity and high-cost calibration methods, our proposed built-in calibration achieves a lower cost and low complexity by detecting only the magnitude. Conventional built-in calibration uses a mixer, thus causing high power consumption and high cost. However, our proposed built-in calibration method searches for the minimum of the vector-sum point from the signal by sampled lines on-board, resulting in a higher accuracy. The vector-sum point goes to a minimum when the phase and magnitude are in balance. Therefore, the phase and magnitude imbalance can be easily monitored by controlling phase shifters and attenuators in PAS. To verify our proposed built-in calibration in PAS, a T/Rx with four RF-chains and sampled lines was fabricated at 5.8 GHz. Its performance was then demonstrated through simulated and measured results. Moreover, a communication performance evaluation using an actual vehicle was performed both before and after calibration. As a result, we found that a signal without distortion was transmitted after calibration.

Joint Spectrum and Power Allocation for V2X Communications With Imperfect CSI

Joint Spectrum and Power Allocation for V2X Communications With Imperfect CSI