A Survey on Future Millimeter-Wave Communication Applications

被引:3
|
作者
Redondi, Alessandro E. C. [1 ]
Innamorati, Corrado [1 ]
Gallucci, Silvia [2 ]
Fiocchi, Serena [2 ]
Matera, Francesco [3 ]
机构
[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, I-20133 Milan, Italy
[2] Consiglio Nazl Ric CNR, Inst Elect Comp & Telecommun Engn IEIIT, I-20133 Milan, Italy
[3] Fdn Ugo Bordoni, I-00161 Rome, Italy
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Millimeter wave communication; Wireless communication; Sensors; Array signal processing; Reliability; Bandwidth; Backhaul networks; Millimeter-wave communications; vehicular networks; 5G; B5G; 6G; UAV; immersive communications; MASSIVE-MIMO; CHANNEL MODEL; 5G; ACCESS; BACKHAUL; GHZ; SYSTEMS; ANTENNA; PROPAGATION; CHALLENGES;
D O I
10.1109/ACCESS.2024.3438625
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Millimeter-wave communications (mmWave) are gaining significant attention for their diverse applications across various domains, being key for the development of ultra-fast, low-latency wireless systems. This paper surveys the main application use cases where mmWave technologies can be adopted, focusing not only on scenarios where they are used for communication purposes, but also on other applications such as imaging and sensing. Each use case is described and characterized in order to provide a general overview of the foreseen mmWave application scenarios. The document also surveys existing standardization activities regarding mmWave frequencies across several application areas and discusses recent works regarding mmWave propagation, including both channel modeling as well as electromagnetic field exposure assessment and dosimetry, in different application domains. The document serves as a reference for a quick overview of all use cases where mmWave will have a practical impact.
引用
收藏
页码:133165 / 133182
页数:18
相关论文
共 50 条
  • [31] Quasi-deterministic millimeter-wave channel models in MiWEBA
    Weiler, Richard J.
    Peter, Michael
    Keusgen, Wilhelm
    Maltsev, Alexander
    Karls, Ingolf
    Pudeyev, Andrey
    Bolotin, Ilya
    Siaud, Isabelle
    Ulmer-Moll, Anne-Marie
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2016,
  • [32] User Association for Millimeter-Wave Networks: A Machine Learning Approach
    Liu, Rui
    Lee, Mengyuan
    Yu, Guanding
    Li, Geoffrey Ye
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (07) : 4162 - 4174
  • [33] Millimeter-Wave Indoor Channel Characteristics in V and E Bands
    Bamba, Aliou
    Mani, Francesco
    D'Errico, Raffaele
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2018, 66 (10) : 5409 - 5424
  • [34] Millimeter-Wave Beam Search With Iterative Deactivation and Beam Shifting
    Liu, Chunshan
    Li, Min
    Zhao, Lou
    Whiting, Philip
    Hanly, Stephen, V
    Collings, Iain B.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (08) : 5117 - 5131
  • [35] A Gaussian Pulse Generator for Millimeter-Wave Applications
    Cavallaro, Marco
    Copani, Tino
    Palmisano, Giuseppe
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2010, 57 (06) : 1212 - 1220
  • [36] Simultaneous Multi-Beam Training for Millimeter-Wave Communication System
    Zhuo, Yinxiao
    Sha, Ziyuan
    Wang, Zhaocheng
    Chen, Sheng
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (10) : 10631 - 10645
  • [37] Channel Estimation Techniques for Millimeter-Wave Communication Systems: Achievements and Challenges
    Hassan, Kais
    Masarra, Mohammad
    Zwingelstein, Marie
    Dayoub, Iyad
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2020, 1 : 1336 - 1363
  • [38] High-Reliability and Low-Energy Sensor Sharing in Vehicle Platoon Based on Multihop Millimeter-Wave Communication
    Zhang, Fenghui
    Wang, Michael Mao
    Deng, Ruilong
    Zhao, Xinsheng
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (19): : 18514 - 18526
  • [39] The future of SiGe BiCMOS: bipolar amplifiers for high-performance millimeter-wave applications
    Magnee, Peter
    Leenaerts, Domine
    Van der Heijden, Mark
    Thanh Viet Dinh
    To, Ivan
    Brunets, Ihor
    2021 IEEE BICMOS AND COMPOUND SEMICONDUCTOR INTEGRATED CIRCUITS AND TECHNOLOGY SYMPOSIUM (BCICTS), 2021,
  • [40] Deep Reinforcement Learning Coordinated Receiver Beamforming for Millimeter-Wave Train-Ground Communications
    Zhou, Xutao
    Zhang, Xiangfei
    Chen, Chen
    Niu, Yong
    Han, Zhu
    Wang, He
    Sun, Chengjun
    Ai, Bo
    Wang, Ning
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (05) : 5156 - 5171