IEEE Vehicular Technology Magazine最新文献_第9页

IEEE VTC2024-Fall / VPPC2024 IEEE VTC2024-Fall / VPPC2024

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-12-01 DOI: 10.1109/mvt.2023.3321440

引用次数: 0

VTS Membership: A Year in Review [President’s Message] VTS 会员：一年回顾 [主席致辞］

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-12-01 DOI: 10.1109/mvt.2023.3315460

Weihua Zhuang

引用次数: 0

Don't Forget to Renew Your Membership! 别忘了续费！

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-12-01 DOI: 10.1109/mvt.2023.3315464

引用次数: 0

Resources for All VTS Members [President’s Message] 供所有VTS成员使用的资源[主席致辞]

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-09-18 DOI: 10.1109/mvt.2023.3279709

Weihua Zhuang

引用次数: 0

Is 6G the Last G? [Connected and Automated Vehicles] 6G是最后一个G吗?[联网及自动驾驶车辆]

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-09-18 DOI: 10.1109/mvt.2023.3297282

Katrin Sjoberg

引用次数: 0

Welcome to the September 2023 Issue [From the Editor] 欢迎来到2023年9月号的《纽约时报》

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-09-18 DOI: 10.1109/mvt.2023.3300608

Javier Gozalvez

引用次数: 0

September 2023 Land Transportation News [Transportation Systems] 2023年9月陆路运输新闻〔运输系统〕

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-09-18 DOI: 10.1109/mvt.2023.3283059

Bih-Yuan Ku

引用次数: 0

Spotlight on Reconfigurable Intelligent Surfaces [Mobile Radio] 聚焦可重构智能表面[流动无线电]

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-09-18 DOI: 10.1109/mvt.2023.3284170

Claudio Casetti

引用次数: 0

Vision-Assisted Millimeter-Wave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions, and Open Challenges 下一代无线系统的视觉辅助毫米波波束管理：概念、解决方案和开放挑战

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-09-01 DOI: 10.1109/MVT.2023.3262907

Kan Zheng, Haojun Yang, Ziqiang Ying, Pengshuo Wang, L. Hanzo

{"title":"Vision-Assisted Millimeter-Wave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions, and Open Challenges","authors":"Kan Zheng, Haojun Yang, Ziqiang Ying, Pengshuo Wang, L. Hanzo","doi":"10.1109/MVT.2023.3262907","DOIUrl":"https://doi.org/10.1109/MVT.2023.3262907","url":null,"abstract":"Beamforming techniques have been widely used in the millimeter-wave (mm-wave) bands to mitigate the path loss of mm-wave radio links as narrow straight beams by directionally concentrating the signal energy. However, traditional mm-wave beam management algorithms usually require excessive channel state information (CSI) overhead, leading to extremely high computational and communication costs. This hinders the widespread deployment of mm-wave communications. By contrast, the revolutionary vision-assisted beam management system concept employed at base stations (BSs) can select the optimal beam for the target user equipment (UE), based on location information determined by machine learning (ML) algorithms applied to visual data, without requiring channel information. In this article, we present a comprehensive framework for a vision-assisted mm-wave beam management system, its typical deployment scenarios, and the specifics of the framework. Then, some of the challenges faced by this system and their efficient solutions are discussed from the perspective of ML. Next, a new simulation platform is conceived to provide both visual and wireless data for model validation and performance evaluation. Our simulation results indicate that vision-assisted beam management is indeed attractive for next-generation wireless systems.","PeriodicalId":55004,"journal":{"name":"IEEE Vehicular Technology Magazine","volume":"18 1","pages":"58-68"},"PeriodicalIF":8.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43397554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Multimode High-Altitude Platform Stations for Next-Generation Wireless Networks: Selection Mechanism, Benefits, and Potential Challenges 下一代无线网络的多模高空平台站:选择机制、收益和潜在挑战

IF 8.1 2区计算机科学

IEEE Vehicular Technology Magazine Pub Date : 2023-09-01 DOI: 10.1109/MVT.2023.3289630

Safwan Alfattani, Wael Jaafar, H. Yanikomeroglu, A. Yongaçoğlu

{"title":"Multimode High-Altitude Platform Stations for Next-Generation Wireless Networks: Selection Mechanism, Benefits, and Potential Challenges","authors":"Safwan Alfattani, Wael Jaafar, H. Yanikomeroglu, A. Yongaçoğlu","doi":"10.1109/MVT.2023.3289630","DOIUrl":"https://doi.org/10.1109/MVT.2023.3289630","url":null,"abstract":"The high-altitude platform station (HAPS) concept has recently received notable attention from both industry and academia to support future wireless networks. A HAPS can be equipped with fifth-generation (5G) and beyond technologies such as massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS). Hence, it is expected that HAPS will support numerous applications in both rural and urban areas. However, this comes at the expense of high energy consumption and thus shorter loitering time. To tackle this issue, we envision the use of a multimode HAPS that can adaptively switch among different modes so as to reduce energy consumption and extend the HAPS loitering time. These modes comprise a HAPS super macro base station (HAPS-SMBS) mode for enhanced computing, caching, and communication services; a HAPS relay station (HAPS-RS) mode for active communication; and a HAPS-RIS mode for passive communication. This multimode HAPS ensures that operations rely mostly on the passive communication payload, while switching to an energy-greedy active mode only when necessary. In this article, we begin with a brief review of HAPS features compared with other nonterrestrial systems, followed by an exposition of the different HAPS modes proposed. Subsequently, we illustrate the envisioned multimode HAPS and discuss its benefits and challenges. Finally, we validate the multimode efficiency through a case study.","PeriodicalId":55004,"journal":{"name":"IEEE Vehicular Technology Magazine","volume":"18 1","pages":"20-28"},"PeriodicalIF":8.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46739573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1