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Volume 1 No. 1
01 June 2020
Foreword by Secretary-General of ITU
Houlin Zhao
2020, 1(1): 0-I. doi:
10.23919/ICN.2020.0010
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Foreword by President of Tsinghua University
Yong Qiu
2020, 1(1): 0-II. doi:
10.23919/ICN.2020.0011
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56
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Foreword by Editor-in-Chief
Jian Song
2020, 1(1): 0-III. doi:
10.23919/ICN.2020.0012
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27
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Wireless recommendations for internet of vehicles: Recent advances, challenges, and opportunities
Tan Li,Congduan Li,Jingjing Luo,Linqi Song
2020, 1(1): 1-17. doi:
10.23919/ICN.2020.0005
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606
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Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure, wireless communication networks, and central cloud platforms. Wireless recommendations play an important role in the IoV network, for example, recommending appropriate routes, recommending driving strategies, and recommending content. In this paper, we review some of the key techniques in recommendations and discuss what are the opportunities and challenges to deploy these wireless recommendations in ...
Convergence of computing, communication, and caching in internet of things
Mohammed Amine Bouras,Fadi Farha,Huansheng Ning
2020, 1(1): 18-36. doi:
10.23919/ICN.2020.0001
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Internet of Things (IoTs) is a big world of connected objects, including the small and low-resources devices, like sensors, as well as the full-functional computing devices, such as servers and routers in the core network. With the emerging of new IoT-based applications, such as smart transportation, smart agriculture, healthcare, and others, there is a need for making great efforts to achieve a balance in using the IoT resources, including Computing, Communication, and Caching. This paper provi...
Internet of radio and light: 5G building network radio and edge architecture
Yue Zhang, Hequn Zhang, John Cosmas, Nawar Jawad, Kareem Ali, Ben Meunier, Adam Kapovits, Li-Ke Huang, Wei Li, Lina Shi, Xun Zhang, Jintao Wang, Israel Koffman, Muller Robert, Charilaos C. Zarakovitis
2020, 1(1): 37-57. doi:
10.23919/ICN.2020.0002
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The Internet of Radio-Light (IoRL) is a cutting-edge system paradigm to enable seamless 5G service provision in indoor environments, such as homes, hospitals, and museums. The system draws on innovative architectural structure that sits on the synergy between the Radio Access Network (RAN) technologies of millimeter Wave communications (mmWave) and Visible Light Communications (VLC) for improving network throughput, latency, and coverage compared to existing efforts. The aim of this paper is to ...
Overview of development and regulatory aspects of high altitude platform system
Dong Zhou,Sheng Gao,Ruiqi Liu,Feifei Gao,Mohsen Guizani
2020, 1(1): 58-78. doi:
10.23919/ICN.2020.0004
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High Altitude Platform (HAP) systems comprise airborne base stations deployed above 20 km and below 50 km to provide wireless access to devices in large areas. In this paper, two types of applications using HAP systems: one with HAP Station (HAPS) and the other with HAPS as International Mobile Telecommunication (IMT) Base Station (HIBS) are introduced. The HAP system with HAPS has already received wide recognition from the academia and the industry and is considered as an effective solution to ...
Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology
Peixiang Cai,Yu Zhang
2020, 1(1): 79-98. doi:
10.23919/ICN.2020.0006
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174
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For a future scenario where everything is connected, cognitive technology can be used for spectrum sensing and access, and emerging coding technologies can be used to address the erasure of packets caused by dynamic spectrum access and realize cognitive spectrum collaboration among users in mass connection scenarios. Machine learning technologies are being increasingly used in the implementation of smart networks. In this paper, after an overview of several key technologies in the cognitive spec...
Convergence of mobile broadband and broadcast services: A cognitive radio sensing and sharing perspective
Kagiso Rapetswa,Ling Cheng
2020, 1(1): 99-114. doi:
10.23919/ICN.2020.0003
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130
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With next generation networks driving the confluence of multi-media, broadband, and broadcast services, Cognitive Radio (CR) networks are positioned as a preferred paradigm to address spectrum capacity challenges. CRs address these issues through dynamic spectrum access. However, the main challenges faced by the CR pertain to achieving spectrum efficiency. As a result, spectrum efficiency improvement models based on spectrum sensing and sharing models have attracted a lot of research attention i...