Free Spectrum for IoT: How Much Can It Take?

Vast numbers of IoT devices will soon be deployed in a ubiquitous manner connecting billions of small sensors to the Internet. The means of connectivity will be primarily provided by wireless networks. This paper presents the results of a spectrum occupancy experiment conducted in the ISM-band in Melbourne, Australia. The focus of this experiment is on the spectrum window of the already highly utilized 915-928~MHz as a potential candidate for some IoT technologies. The aim of this paper is to quantify the feasibility of using this free spectrum band for present and future IoT applications. We classify the spectrum measurements according to the population densities and we formulate a relation between the current spectrum occupancy and the underlaying population density. Based on the current occupancy figures and by using the pure ALOHA access model due to its similarity to the access models currently deployed in class-licensed bands, we draw future paradigms on the available spectral room for additional IoT services in this band.

[1]  Zdenek Becvar,et al.  Energy-Aware Dynamic Selection of Overlay and Underlay Spectrum Sharing for Cognitive Small Cells , 2017, IEEE Transactions on Vehicular Technology.

[2]  Guey-Yun Chang,et al.  A Jamming-Resistant Channel Hopping Scheme for Cognitive Radio Networks , 2017, IEEE Transactions on Wireless Communications.

[3]  Mahammad Shareef Mekala,et al.  A novel technology for smart agriculture based on IoT with cloud computing , 2017, 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).

[4]  Mikko Valkama,et al.  Efficient Energy Detection Methods for Spectrum Sensing Under Non-Flat Spectral Characteristics , 2015, IEEE Journal on Selected Areas in Communications.

[5]  Emiliano Sisinni,et al.  Evaluation of the IoT LoRaWAN Solution for Distributed Measurement Applications , 2017, IEEE Transactions on Instrumentation and Measurement.

[6]  Dcita.  Radiocommunications (Low Interference Potential Devices) Class Licence 2000 , 2006 .

[7]  K. Kalimuthu,et al.  An adaptive decision threshold scheme for the matched filter method of spectrum sensing in cognitive radio using artificial neural networks , 2016, 2016 1st India International Conference on Information Processing (IICIP).

[8]  Antonio Brogi,et al.  QoS-Aware Deployment of IoT Applications Through the Fog , 2017, IEEE Internet of Things Journal.

[9]  Mahesh Sooriyabandara,et al.  Low Power Wide Area Networks: An Overview , 2016, IEEE Communications Surveys & Tutorials.

[10]  Jaime Lloret,et al.  An Integrated IoT Architecture for Smart Metering , 2016, IEEE Communications Magazine.

[11]  Manoj Jain,et al.  Cognitive channel access for Wireless Local area networks used in IOT , 2016, 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT).

[12]  Mahdi H. Al-Badrawi,et al.  Intrinsic Mode Function Based Noise Power Estimation With Applications to Semiblind Spectrum Sensing Methods , 2017, IEEE Signal Processing Letters.

[13]  István Z. Kovács,et al.  Interference Measurements in the European 868 MHz ISM Band with Focus on LoRa and SigFox , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[14]  Thomas Watteyne,et al.  Understanding the Limits of LoRaWAN , 2016, IEEE Communications Magazine.

[15]  Jonathan Kua,et al.  Using Active Queue Management to Assist IoT Application Flows in Home Broadband Networks , 2017, IEEE Internet of Things Journal.

[16]  G. Bohoris.  Comparison of the cumulative-hazard and Kaplan-Meier estimators of the survivor function , 1994 .

[17]  Wei Wayne Li,et al.  Strategic Joining and Optimal Pricing in the Cognitive Radio System With Delay-Sensitive Secondary Users , 2017, IEEE Transactions on Cognitive Communications and Networking.

[18]  Ying-Chang Liang,et al.  Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach , 2017, IEEE Access.

[19]  L. Jegatha Deborah,et al.  Survey: Handling on Difficulties in Internet of Things (IoT) Applications and Its Challenges , 2017, 2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM).

[20]  Xingqin Lin,et al.  A Primer on 3GPP Narrowband Internet of Things , 2016, IEEE Communications Magazine.