Spectrum Sharing Technologies for Cognitive IoT Networks: Challenges and Future Directions

Автор: Bekele M. Zerihun, Thomas O. Olwal, Murad R. Hassen

Журнал: International Journal of Wireless and Microwave Technologies @ijwmt

Статья в выпуске: 1 Vol.10, 2020 года.

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In recent years, the number of devices connected to the Internet has been increased exponentially, which creates a new ecosystem known as the Internet of Things (IoT). According to Cisco’s prediction, it is expected that over 50 billion devices will be connected to the Internet by 2020. In fact, IoT is expected to be a key enabling technology to accommodate the massive connectivity of heterogeneous smart devices in the upcoming fifth-generation networks. However, in a limited resource environment, the existing spectrum will not be sufficient to satisfy all these spectrum demand. Sharing the idle spectrum in licensed and unlicensed bands is a feasible solution for effective IoT deployment. Therefore, in this paper, we provide a survey of advanced spectrum sharing techniques and emerging IoT technologies to exploit the spectrum both in existing licensed cellular infrastructures and unlicensed spectrum bands. To the best of our knowledge, different from the existing literature, we identify the potential research challenges and suggest future directions for efficient IoT deployment in next-generation wireless networks.


Spectrum sharing technologies, Internet of Things, next-generation networks, cognitive radio

Короткий адрес: https://readera.org/15017170

IDR: 15017170   |   DOI: 10.5815/ijwmt.2020.01.02

Список литературы Spectrum Sharing Technologies for Cognitive IoT Networks: Challenges and Future Directions

  • Park D., Youn J. M., and Cho J., "A low-power microcontroller with accuracy-controlled event-driven signal processing unit for rare-event activity-sensing IoT devices," Journal of Sensors, vol. 2015, 2015.
  • Sheng Z. et al., "A Survey on the IETF Protocol Suite for the Internet of Things: Standards, Challenges, and Opportunities," IEEE Wireless Commun., vol. 20, no. 6, Dec. 2013, pp. 91-98.
  • Zerihun B. M. and Wondie Y., "Massive MIMO for 5G Cellular Networks: Potential Benefits and Challenges," In International Conference on Information and Communication Technology for Development for Africa, Springer, Cham, Sept. 2017, pp. 219-227.
  • Evans D., ''The Internet of Things: How the Next Evolution of the Internet is Changing Everything,'' Cisco IBSG, Cisco White Paper, April 2011.
  • Yang C. et al., “Advanced Spectrum Sharing in 5G Cognitive Heterogeneous Networks,” IEEE Wireless Commun., vol. 23, no. 2, Apr. 2016, pp. 94-101.
  • Ahmad A. et al., “A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks,” IEEE Commun. Surveys and Tutorials, vol. 17, no. 2, 2015, pp. 888–917.
  • “LTE evolution for IoT connectivity,” Nokia, Tech. Rep. Nokia White Paper, January 2016. [Online]. Available: http://resources.alcatel-lucent.com/asset/200178.
  • Nolan K. E. et al., “An Evaluation of Low Power Wide Area Network Technologies for the Internet of Things," In Proceedings of the International Wireless Communications and Mobile Computing Conference (IWCMC), Paphos, Cyprus, 5–9 September 2016.
  • Irnich T. et al., “Spectrum Sharing Scenarios and Resulting Technical Requirements for 5G Systems,” Proc. IEEE PIMRC Wksps., 2013, pp. 127–32
  • RSPG, “Report on Collective Use of Spectrum (CUS) and Other Spectrum Sharing Approaches,” RSPG 11-392, Nov. 2011.
  • Rawat P., Singh K. D., and Bonnin J. M., “Cognitive radio for M2M and Internet of Things: A survey,” Computer Communications, vol. 94, pp. 1–29, Nov. 2016.
  • Eswaran S. P., and Bapat J., “Service centric markov based spectrum sharing for internet of things (IoT),” in IEEE Region 10 Symposium (TENSYMP), pp. 9–12, IEEE, May 2015.
  • Xing Y., Chandramouli R., Mangold S., Shankar S., “Dynamic Spectrum Access in Open Spectrum Wireless Networks,” IEEE J. Sel. Areas Commun. 2006, 24, 626–637.
  • Sunet D. al., “Spectrum sensing and the utilization of spectrum opportunity tradeoff in cognitive radio network,” IEEE Commun. Lett., vol. 20, no. 12, pp. 2442–2445, Dec. 2016.
  • Etkin R., Parekh A., Yse D., “Spectrum Sharing for Unlicensed Bands,” IEEE J. Sel. Areas Commun. 2007, 25, 517–528.
  • Kim S., “Inspection game based cooperative spectrum sensing and sharing scheme for cognitive radio IoT system,” Computer Communications, vol. 105, pp. 116–123, Jun. 2017.
  • M. Lauridsen et al., “Coverage and capacity analysis of LTE-M and NB-IoT in a rural area,” In 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), Sep. 2016, pp. 1-5.
  • Ratasuk R. et al., “Narrowband LTE-M system for M2M communication,” In 2014 IEEE 80th Vehicular Technology Conference VTC2014-Fall), Sep. 2014, pp. 1-5.
  • Hoglund A. et al., “Overview of 3GPP Release 14 enhanced NB-IoT,” IEEE Network, vol. 21, no. 6, Nov. 2017, pp. 16-22.
  • Naoui S. et al., “Enhancing the security of the IoT LoraWAN architecture,” In 2016 International Conference on Performance Evaluation Modeling in in Wired and Wireless Networks (PEMWN), Nov. 2016, pp. 1-7.
  • Sinha R.S., Wei Y., and Hwang S.H., “A Survey on LPWA technology: LoRa and NB-IoT,” Ict Express, vol. 3 no. 1, Mar. 2017, pp. 14-21.
  • Reynders B. and Pollin S., “Chirp spread spectrum as a modulation technique for long range communication,” In 2016 Symposium on Communications and Vehicular Technologies (SCVT), IEEE, Nov. 2016, pp. 1-5.
  • Lauridsen M. et al., "Coverage Comparison of GPRS, NB-IoT, LoRa, and SigFox,” In Proceedings of the IEEE Vehicular Technology Conference, Sydney, Australia, 4–7 June 2017.
  • Olwal T. O., Djouani K., and Kurien A. M., "A Survey of Resource Management toward 5G Radio Access Networks," IEEE Communications, Surveys and Tutorials, vol. 18, no. 3, Apr. 2016, pp. 1656-1686.
  • Uviase O., and Kotonya G., "Iot architectural framework: connection and integration framework for iot systems," 1st workshop on Architectures, Languages and Paradigms for IoT, 2018, pp. 1-17.
  • Zhang X., Cheng W., and Zhang H., "Heterogeneous statistical QoS provisioning over 5G mobile wireless networks," IEEE Networks, vol. 28, no. 6, 2014, pp. 46-53.
  • Sparber T. et al., "Mitigating radio interference in large iot networks through dynamic cca adjustment," Open Journal of Internet of Things (OJIOT), vol. 3, no. 1, 2017, pp. 103-113.
  • Hu, Rose Q., and Qian Y., "An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems," IEEE Communications Magazine, vol. 52, no. 5, 2014, pp. 94-101.
  • Furqan H.M., Hamamreh J., and Arslan H., “Physical Layer Security for NOMA: Requirements, Merits, Challenges, and Recommendations,” May 2019, arXiv preprint arXiv:1905.05064.
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