Toward 6G Internet of Things and the Convergence With RoF System

被引:63
作者
Chen, Na [1 ]
Okada, Minoru [1 ]
机构
[1] Nara Inst Sci & Technol, Grad Sch Sci & Technol, Ikoma 6300192, Japan
关键词
6G mobile communication; Internet of Things; 5G mobile communication; Monitoring; Sensors; Temperature sensors; Temperature measurement; 6G; artificial intelligence (AI); Internet of Things (IoT); Radio over Fiber (RoF); FRONTHAUL ARCHITECTURE; RESOURCE-ALLOCATION; OPTICAL FRONTHAUL; MILLIMETER-WAVE; FUTURE-TRENDS; RADIO-ACCESS; LOW-LATENCY; BROAD-BAND; 5G; IOT;
D O I
10.1109/JIOT.2020.3047613
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Internet of Things (IoT) has been a promising communication paradigm that involves sensors, microcontrollers, and transceivers for an efficient communication and computation system. The infrastructure and the applications shall enable and improve the intelligent management of our city service, workspace, and daily life. This article aims at the future 6G vision of IoT, and discusses the convergence with the Radio-over-Fiber (RoF) system. Comparing with the IoT services included in the 5G deployment, 6G IoT exploits high-density heterogeneous devices involving extremely high capacity, supporting much more robust system architecture and artificial intelligence (AI)-based smart algorithms. The RoF is one of the most promising enablers for the outstanding characters of flexibility and efficiency of 6G IoT systems. This article first introduces the IoT envolution roadmap from 5G toward 6G and the potency of optic fiber and RoF technologies. Then, we present the rapidly expanding RoF market and compatible technologies related to IoT-RoF convergence with the discussion on the current outstanding works in multiple dimensions. Finally, we investigate the challenges ahead for the future RoF supported 6G IoT system and the emerging technology solutions.
引用
收藏
页码:8719 / 8733
页数:15
相关论文
共 159 条
[1]   Resource Allocation for Ultra-Reliable and Enhanced Mobile Broadband IoT Applications in Fog Network [J].
Abedin, Sarder Fakhrul ;
Alam, Md. Golam Rabiul ;
Kazmi, S. M. Ahsan ;
Tran, Nguyen H. ;
Niyato, Dusit ;
Hong, Choong Seon .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (01) :489-502
[2]   A Hybrid Access Control Model With Dynamic COI for Secure Localization of Satellite and IoT-Based Vehicles [J].
Aftab, Muhammad Umar ;
Munir, Yasir ;
Oluwasanmi, Ariyo ;
Qin, Zhiguang ;
Aziz, Muhammad Haris ;
Zakria ;
Son, Ngo Tung ;
Iran, Van Dinh .
IEEE ACCESS, 2020, 8 :24196-24208
[3]   A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges [J].
Akpakwu, Godfrey Anuga ;
Silva, Bruno J. ;
Hancke, Gerhard P. ;
Abu-MAhfouz, Adnan M. .
IEEE ACCESS, 2018, 6 :3619-3647
[4]   THE D-OMA METHOD FOR MASSIVE MULTIPLE ACCESS IN 6G Performance, Security, and Challenges [J].
Al-Eryani, Yasser ;
Hossein, Ekram .
IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2019, 14 (03) :92-99
[5]   Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications [J].
Al-Fuqaha, Ala ;
Guizani, Mohsen ;
Mohammadi, Mehdi ;
Aledhari, Mohammed ;
Ayyash, Moussa .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04) :2347-2376
[6]   Adaptation of Mode Filtering Technique in 4G-LTE Hybrid RoMMF-FSO for Last-Mile Access Network [J].
Al-Musawi, Hassan K. ;
Cseh, Tamas ;
Bohata, Jan ;
Ng, Wai Pang ;
Ghassemlooy, Zabih ;
Zvanovec, Stanislav ;
Udvary, Eszter ;
Pesek, Petr .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2017, 35 (17) :3758-3764
[7]  
Alam T., ED INF TECHNOL
[8]   A Survey on Optical Technologies for IoT, Smart Industry, and Smart Infrastructures [J].
Aleksic, Slavisa .
JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2019, 8 (03)
[9]  
Ali S., 2020, 6G WHITE PAPER MACHI
[10]   Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems [J].
Alkhateeb, Ahmed ;
Alex, Sam ;
Varkey, Paul ;
Li, Ying ;
Qu, Qi ;
Tujkovic, Djordje .
IEEE ACCESS, 2018, 6 :37328-37348