arrow
Return

Millimeter-wave channel modeling in a VANETs using coding techniques

delete2023-05-31
delete0
delete
OA
AI
A
Arshee Ahmed *
H
Haroon Rasheed
A
Ali Kashif Bashir
M
Marwan Omar
DOI:10.7717/peerj-cs.1374delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
The Vehicular ad-Hoc Network (VANET) is envisioned to ensure wireless transmission with ultra-high reliability. In the presence of fading and mobility of vehicles, error-free information between Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) requires extensive investigation. The current literature lacks in designing an ultra-reliable comprehensive tractable model for VANET using millimeter wave. Ultra-reliable communication is needed to support autonomous vehicular communication. This article aims to provide a comprehensive tractable model for VANET over millimeter waves using Space-Time-Block-Coding (STBC) concatenated with Reed Solomon (RS) coding. The designed model provides the fastest way of designing and analyzing VANET networks on 60 GHz. By using the derived BER expressions and Reed Solomon coded doppler expression ultra-reliable vehicular networks can be build meeting the demands of massive growing volume of traffic. The performance of the model is compared with previous BER computational techniques and existing VANET communication systems, i.e., IEEE 802.11bd and 3rd generation partnership project vehicle to everything (3GPP V2X). The findings show that our proposed approach outperforms IEEE 802.11bd and the results are comparable with V2X NR. Packet Error Rate (PER), Packet Reception Ratio (PRR) and throughput are used as performance metrics. We have also evaluated the model on higher velocities of vehicles. Further, the simulation and numerical findings show that the proposed system surpass the existing BER results comprising of various modulation and coding techniques. The simulation results are verified by the numerical results there-by, showing the accuracy of our derived expressions.
Keywords:
Bit error rate
Space-time block code
Reed Solomon
Wireless communication
Ultra-reliability
PER
Beamforming
Doppler effecf
Throughput
Coding
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

PeerJ Computer Science cover
PeerJ Computer Science
IF:
2.5
Papers:
3.4K
Citations:
6.9K

Organization

M
Manchester Metropolitan University
Scholars:
4.4K
Papers: 5.0K
Citations: 6
W
Woxsen University
Scholars:
229
Papers: 247
Citations: 3
Cited Papers

Cited Papers

Expansion of alpine glaciers in Pacific North America in the first millennium A.D.
err2006-01-01
err0
PREAI
errAlberto V. Reyes; Gregory C. Wiles; Dan J. Smith; David J. Barclay; Sandra Allen; Scott Jackson; Sonya Larocque; Sarah Laxton; Dave Lewis; Parker E. Calkin; John J. Clague
errShare
errSave
Performance Analysis of FD-NOMA-Based Decentralized V2X Systems
err2019-07-01
err101
errOAAI
errZhang, Di; Liu, Yuanwei; Dai, Linglong; Bashir, Ali Kashif; Nallanathan, Arumugam; Shim, Byonghyo
errShare
errSave
Self-Mutilation and Suicidal Behavior in Borderline Personality Disorder
err1994-12-01
err0
PREAI
errPaul H. Soloff; Judith A. Lis; Thomas Kelly; Jack Cornelius; Richard Ulrich
errShare
errSave
Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives
err2020-09-01
err130
errOAAI
errZrar Ghafoor, Kayhan; Kong, Linghe; Zeadally, Sherali; Sadiq, Ali Safaa; Epiphaniou, Gregory; Hammoudeh, Mohammad; Bashir, Ali Kashif; Mumtaz, Shahid
errShare
errSave
researcher View more