Spectrum Sharing for Internet of Things: A Survey
Not on the map. Why?
Abstract (arXiv)
The Internet of Things (IoT) is a promising paradigm to accommodate massive device connections in 5G and beyond. To pave the way for future IoT, the spectrum should be planed in advance. Spectrum sharing is a preferable solution for IoT due to the scarcity of available spectrum resource. In particular, mobile operators are inclined to exploit the existing standards and infrastructures of current cellular networks and deploy IoT within licensed cellular spectrum. Yet, proprietary companies prefer to deploy IoT within unlicensed spectrum to avoid any licence fee. In this paper, we provide a survey on prevalent IoT technologies deployed within licensed cellular spectrum and unlicensed spectrum. Notably, emphasis will be on the spectrum sharing solutions including the shared spectrum, interference model, and interference management. To this end, we discuss both advantages and disadvantages of different IoT technologies. Finally, we identify challenges for future IoT and suggest potential research directions.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Oct 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 2.
5 papers.
- 2024Large Language Models for UAVs: Current State and Pathways to the Futurecited by 33
- 2022When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challengescited by 6
- 2021Socially-Optimal Mechanism Design for Incentivized Online Learningcited by 2
- 2021Machine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bandscited by 1
- 2024QoS Improvement in Multi User Cellular-Symbiotic Radio Network Assisted by Active-STAR-RIScited by 0
- 2024Large Language Models for UAVs: Current State and Pathways to the Future2 May 2024
- 2024QoS Improvement in Multi User Cellular-Symbiotic Radio Network Assisted by Active-STAR-RIS16 Jan 2024
- 2022When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges12 Jan 2022
- 2021Socially-Optimal Mechanism Design for Incentivized Online Learning29 Dec 2021
- 2021Machine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bands10 Jun 2021