A Flexible Resource Allocation Scheme for NR V2X Based Vulnerable Road User Protection DOI
Qiang Fu, Jiajia Liu, Jiadai Wang

и другие.

IEEE Transactions on Vehicular Technology, Год журнала: 2023, Номер 73(5), С. 6672 - 6686

Опубликована: Дек. 28, 2023

New Radio (NR) Vehicle-to-Everything (V2X) based Vulnerable Road User Protection (VRUP) can effectively reduce traffic accidents, making it a promising application in intelligent transport systems. However, considering the scarcity of radio resources and inefficiency resource allocation, performance reduction caused by collisions may restrict its development V2X network. In this paper, we propose flexible allocation scheme, namely Zone cluster Resource Reuse (ZRR), to collision achieve better delivery NR VRUP. We then develop theoretical framework on stochastic geometry efficiently characterize VRUP message process under ZRR, taking into account specified factors V2X. With help framework, are able derive two important metrics, probability Equipment (UE) transmit power, further search for optimal parameter setting ZRR. Extensive simulation results provided demonstrate effectiveness ZRR framework. Under setting, is very desirable delivery, especially resource-constrained access-intensive scenario.

Язык: Английский

Cross-Layer Performance Evaluation of C-V2X DOI

Dhruba Sunuwar,

Seungmo Kim

SoutheastCon, Год журнала: 2024, Номер unknown, С. 869 - 871

Опубликована: Март 15, 2024

Язык: Английский

Процитировано

0

Software Defined Radio-Based Long-Term Evolution for Infrastructure-Based Vulnerable Road Users Safety: A Field Demonstration DOI
Seyedmehdi Khaleghian,

Austin Harris,

Mohamed K. M. Fadul

и другие.

Transportation Research Record Journal of the Transportation Research Board, Год журнала: 2024, Номер unknown

Опубликована: Авг. 27, 2024

The limited connectivity of vehicles presents a notable challenge, as their inability to establish communication with other and pedestrians can lead safety concerns, particularly for vulnerable road users (VRUs). Infrastructure-to-Pedestrian (I2P) pathway play vital role in mitigating these implementing I2P is expected significantly enhance pedestrians, cyclists, motorcyclists. Third Generation Partnership Program (3GPP) introduced cellular vehicle-to-everything (V2X) the release 3GPP Release 14 2017. In this paper, we conduct an extensive review V2I communication, then present Long-Term Evolution (LTE)-I2P architecture. We later describe key ideas software-defined networks concepts services. Additionally, field test LTE-based assess its feasibility. urban connected testbed downtown Chattanooga, “MLK Smart Corridor,” services experimental platform assessment. Performance indicators like average end-to-end (E2E) latency packet delivery ratio (PDR) are used comparison.

Язык: Английский

Процитировано

0

Optimizing Radio Access in 5G Vehicle Networks Using Novel Machine Learning-Driven Resource Management DOI Creative Commons

Rajesh Natarajan,

Natesh Mahadev,

Badria Sulaiman Alfurhood

и другие.

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Авг. 14, 2023

Abstract The huge crossover of vehicle network needs cannot be met by present cellular technologies and vehicular networks. To achieve desired results in a context, resource management has evolved into complicated task. 5G wireless claims to provide communications that are ultra-fast, delayed less, dependable. Software-defined networking (SDN) is one the major will enable 5G. Additionally, it guarantees increased performance all around. Managing mobility vehicles maintaining smooth transfer between base stations main concerns. providing safety-critical applications like autonomous driving requires very low latency great dependability. Due limited amount spectrum available dynamic nature communication, effective allocation strategies required. maintain efficiency, interference, channel congestion must reduced, priority techniques required meet various services. In this study, we proposed traffic classification using Magnified Recurrent Neural Network (MRNN) optimized radio access 5g networks Boosting Ant Colony Optimization (BACO) for procedure. BACO-MRNN algorithm produced best based on several metrics, including accuracy 98.10%, precision 97.23%, recall 98.15%, F1-Score 98.45%, RMSE 30.10%. revealed advanced capacity discrimination. entire potential connected fulfillment smart transportation systems depend resolution difficulties

Язык: Английский

Процитировано

0

A Survey of Pedestrian to Infrastructure Communication System for Pedestrian Safety: System Components and Design Challenges DOI

Pallavi Zambare,

Ying Liu

IFIP advances in information and communication technology, Год журнала: 2023, Номер unknown, С. 14 - 35

Опубликована: Окт. 25, 2023

Язык: Английский

Процитировано

0

A Flexible Resource Allocation Scheme for NR V2X Based Vulnerable Road User Protection DOI
Qiang Fu, Jiajia Liu, Jiadai Wang

и другие.

IEEE Transactions on Vehicular Technology, Год журнала: 2023, Номер 73(5), С. 6672 - 6686

Опубликована: Дек. 28, 2023

New Radio (NR) Vehicle-to-Everything (V2X) based Vulnerable Road User Protection (VRUP) can effectively reduce traffic accidents, making it a promising application in intelligent transport systems. However, considering the scarcity of radio resources and inefficiency resource allocation, performance reduction caused by collisions may restrict its development V2X network. In this paper, we propose flexible allocation scheme, namely Zone cluster Resource Reuse (ZRR), to collision achieve better delivery NR VRUP. We then develop theoretical framework on stochastic geometry efficiently characterize VRUP message process under ZRR, taking into account specified factors V2X. With help framework, are able derive two important metrics, probability Equipment (UE) transmit power, further search for optimal parameter setting ZRR. Extensive simulation results provided demonstrate effectiveness ZRR framework. Under setting, is very desirable delivery, especially resource-constrained access-intensive scenario.

Язык: Английский

Процитировано

0