Enabling Technologies for Ultra-Low Latency and High-Reliability Communication in 6G Networks

低延迟(资本市场) 可靠性(半导体) 计算机科学 电信 计算机网络 功率(物理) 物理 量子力学
作者
Saja Majeed Mohammed,Alyaa Al-Barrak,Noof T. Mahmood
出处
期刊:Ingénierie Des Systèmes D'information [Lavoisier publishing]
卷期号:29 (3)
标识
DOI:10.18280/isi.290336
摘要

The need for faster and more dependable wireless communication networks has encouraged the development of 6G networks.This article explores the integration of Mobile Edge Computing (MEC) cloud architectures and the potential of self-driving Vehicle-to-Everything (V2X) communication to achieve ultra-low latency and high dependability in 6G networks.By integrating MEC into the 6G network fabric, latency is reduced by bringing data processing closer to end-users, particularly vehicles, thus enhancing computational capabilities at the network's edge.The fusion of MEC with self-driving V2X communication holds the key to realizing the potential of 6G networks, enabling seamless communication among vehicles, roadside infrastructure, and individuals.Extensive testing and simulations predict that the 6G network's latency for User Equipments (UEs) will fall within an impressive range of 4ms to 10ms, unlocking new opportunities for missioncritical services, augmented reality, and real-time applications.The paper substantiates the dependability of 6G networks under various scenarios, ensuring a stable and reliable communication infrastructure.The objectives of the study are twofold: firstly, to evaluate the potential of MEC integration in 6G networks and its impact on reducing latency for endusers, particularly in the context of self-driving V2X communication; and secondly, to predict and verify the ultra-low latency capabilities of 6G networks for UEs through extensive testing and simulations, thereby enabling new opportunities for mission-critical services, augmented reality, and real-time applications.The real network simulation carried in the MATLAB environment shows that for UEs in the 6G network, the predicted latency will be approximately 4ms to 10ms, which showcasing unprecedented opportunity of possibilities in communication and services.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yangzai发布了新的文献求助10
刚刚
Qingcyx发布了新的文献求助10
1秒前
2秒前
fairy完成签到 ,获得积分10
3秒前
zzzg发布了新的文献求助10
3秒前
Jasper应助老实的寒安采纳,获得10
3秒前
5秒前
napnap完成签到 ,获得积分10
5秒前
6秒前
6秒前
7秒前
隐形曼青应助Clarence采纳,获得10
8秒前
归尘发布了新的文献求助30
9秒前
帕芙芙发布了新的文献求助10
9秒前
napnap关注了科研通微信公众号
9秒前
Qingcyx完成签到,获得积分10
11秒前
大模型应助典雅的迎波采纳,获得10
11秒前
Zirong发布了新的文献求助10
12秒前
li发布了新的文献求助10
12秒前
优雅狗发布了新的文献求助10
12秒前
Hmzek完成签到,获得积分10
12秒前
NING完成签到 ,获得积分10
13秒前
传奇3应助zddhhh采纳,获得10
14秒前
15秒前
CodeCraft应助tangz采纳,获得10
18秒前
Clarence发布了新的文献求助10
21秒前
优雅狗完成签到,获得积分10
22秒前
老班长发布了新的文献求助10
22秒前
老实的寒安完成签到,获得积分10
26秒前
认真的代柔完成签到,获得积分10
27秒前
海晨完成签到,获得积分10
27秒前
27秒前
万能图书馆应助温婉采纳,获得10
29秒前
口十木又寸完成签到,获得积分20
29秒前
索浩鑫关注了科研通微信公众号
30秒前
clock完成签到 ,获得积分10
30秒前
30秒前
Elaine发布了新的文献求助10
30秒前
32秒前
32秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3961083
求助须知:如何正确求助?哪些是违规求助? 3507362
关于积分的说明 11135622
捐赠科研通 3239835
什么是DOI,文献DOI怎么找? 1790434
邀请新用户注册赠送积分活动 872400
科研通“疑难数据库(出版商)”最低求助积分说明 803150