The new trends in networking: IoT, 5G, and cognitive radio
LabRI-SBA Lab, Ecole Supérieure en Informatique, Sidi Bel Abbes, Algeria
Abstract
The domain of networking and wireless communication is rapidly expanding to the point where traditional legacy networks research is nearly complete, and they are supposed to be an elder. IoT, the Internet of Things, and the 5G radio communications are the newest networking advancements. These two technologies fulfill all of the researchers' goals of improving people's quality of life. IoT is a framework that allows everyday devices to become smarter, processing to become more intelligent, and communication to become more relevant. The Internet of Things (IoT) has already made huge progress as a ubiquitous solution platform for the linked world. We also discussed the Radio Cognitive RC, which allows people to connect to networks as secondary users at no cost while the service provided is not as good as that provided to primary users who pay a license to use the network. RC can provide a solution for best-effort IoT applications that do not require constant connectivity and high QoS requirements. This study describes all of these technologies and concludes with a recommendation for using IoT and RC in our further works.
Keywords
Networking, IoT, 5G, Radio cognitive
Digital Object Identifier (DOI)
https://doi.org/10.21833/AEEE.2020.03.002
Article history
Received 20 July 2019, Received in revised form 20 December 2019, Accepted 20 January 2020
Full text
Available in PDF
Portable Document Format
How to cite
Fayssal Bendaoud (2020). The new trends in networking: IoT, 5G, and cognitive radio. Annals of Electrical and Electronic Engineering, 3(3): 8-23
References (58)
- Agyapong PK, Iwamura M, Staehle D, Kiess W, and Benjebbour A (2014). Design considerations for a 5G network architecture. IEEE Communications Magazine, 52(11): 65-75. https://doi.org/10.1109/MCOM.2014.6957145 [Google Scholar]
- Akyildiz IF, Lee WY, and Chowdhury KR (2009). CRAHNs: Cognitive radio ad hoc networks. AD Hoc Networks, 7(5): 810-836. https://doi.org/10.1016/j.adhoc.2009.01.001 [Google Scholar]
- Al-Qaseemi SA, Almulhim HA, Almulhim MF, and Chaudhry SR (2016). IoT architecture challenges and issues: Lack of standardization. In 2016 Future Technologies Conference, IEEE, San Francisco, USA: 731-738. https://doi.org/10.1109/FTC.2016.7821686 [Google Scholar]
- Al-Sarawi S, Anbar M, Alieyan K, and Alzubaidi M (2017). Internet of things (IoT) communication protocols. In 2017 8th International Conference on Information Technology, IEEE, Amman, Jordan: 685-690. https://doi.org/10.1109/ICITECH.2017.8079928 [Google Scholar]
- Astely D, Dahlman E, Fodor G, Parkvall S, and Sachs J (2013). LTE release 12 and beyond (accepted from open call). IEEE Communications Magazine, 51(7): 154-160. https://doi.org/10.1109/MCOM.2013.6553692 [Google Scholar]
- Aswale P, Shukla A, Bharati P, Bharambe S, and Palve S (2019). An overview of internet of things: architecture, protocols and challenges. In: Satapathy S and Joshi A (Eds.), Information and communication technology for intelligent systems: 299-308. Information and Communication Technology for Intelligent Systems, Smart Innovation, Systems and Technologies, Springer, Singapore, Singapore. https://doi.org/10.1007/978-981-13-1742-2_29 [Google Scholar]
- Aziz D, Kusume K, Queseth O, Tullberg H, Fallgren M, Schellmann M, and Maternia M (2015). ICT-317669-METIS/D8.4: METIS final project report. Final Report Mobile and Wireless Communications Enablers for the Twenty-Twenty Information Society. Available online at: https://metis2020.com/wp-content/uploads/deliverables/METIS_D8.4_v1.pdf [Google Scholar]
- Bednarczyk M (2018). HaLow-WiFi dla IoT. Przegląd Telekomunikacyjny+ Wiadomości Telekomunikacyjne, Bydgoszcz, Poland. [Google Scholar]
- Bellalta B (2016). IEEE 802.11 ax: High-efficiency WLANs. IEEE Wireless Communications, 23(1): 38-46. https://doi.org/10.1109/MWC.2016.7422404 [Google Scholar]
- Bharadia D, McMilin E, and Katti S (2013). Full duplex radios. In Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM, Association for Computing Machinery, Hong Kong China: 375-386. https://doi.org/10.1145/2486001.2486033 [Google Scholar]
- Cai Y, Yu FR, and Bu S (2014). Cloud computing meets mobile wireless communications in next generation cellular networks. IEEE Network, 28(6): 54-59. https://doi.org/10.1109/MNET.2014.6963805 [Google Scholar]
- Carretero J and García JD (2014). The internet of things: Connecting the world. Personal and Ubiquitous Computing, 18(2): 445-447. https://doi.org/10.1007/s00779-013-0665-z [Google Scholar]
- Chaudhari BS and Zennaro M (2020). LPWAN technologies for IoT and M2M applications. Academic Press, Cambridge, USA. [Google Scholar]
- Cisco (2017). Global mobile data traffic forecast update, 2016-2021 white paper. Cisco Visual Networking Index, San Jose, USA, 7, 180. Available online at: https://www.ramonmillan.com [Google Scholar]
- Correia LM (2010). Mobile broadband multimedia networks: techniques, models and tools for 4G. Elsevier, Amsterdam, Netherlands. [Google Scholar]
- Coskun V, Ozdenizci B, and Ok K (2013). A survey on near field communication (NFC) technology. Wireless Personal Communications, 71(3): 2259-2294. https://doi.org/10.1007/s11277-012-0935-5 [Google Scholar]
- Dave E (2011). The Internet of Things: How the next evolution of the internet is changing everything. The Internet of Things. Available online at: http://www.cisco.com/web/about/ac79/docs/innov/IoT_IBSG_0411FINAL.pdf [Google Scholar]
- Fettweis GP (2014). The tactile internet: Applications and challenges. IEEE Vehicular Technology Magazine, 9(1): 64-70. https://doi.org/10.1109/MVT.2013.2295069 [Google Scholar]
- GSMA (2014). Understanding 5G: Perspectives on future technological advancements in mobile. Global System for Mobile Communications Association, London, UK: 1-26. Available online at: https://www.gsma.com/futurenetworks/wp-content/uploads/2015/01/2014-12-08-c88a32b3c59a11944a9c4e544fee7770.pdf [Google Scholar]
- Haykin S (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2): 201-220. https://doi.org/10.1109/JSAC.2004.839380 [Google Scholar]
- Holler J, Tsiatsis V, Mulligan C, Karnouskos S, Avesand S, and Boyle D (2014). Internet of things. Academic Press, Cambridge, USA. [Google Scholar]
- Hong S, Brand J, Choi JI, Jain M, Mehlman J, Katti S, and Levis P (2014). Applications of self-interference cancellation in 5G and beyond. IEEE Communications Magazine, 52(2): 114-121. https://doi.org/10.1109/MCOM.2014.6736751 [Google Scholar]
- Hong S, Brand J, Choi JI, Jain M, Mehlman J, Katti S, and Levis P (2014). Applications of self-interference cancellation in 5G and beyond. IEEE Communications Magazine, 52(2): 114-121. https://doi.org/10.1109/MCOM.2014.6736751 [Google Scholar]
- Hong X, Wang J, Wang CX, and Shi J (2014). Cognitive radio in 5G: a perspective on energy-spectral efficiency trade-off. IEEE Communications Magazine, 52(7): 46-53. https://doi.org/10.1109/MCOM.2014.6852082 [Google Scholar]
- Hossain E, Rasti M, Tabassum H, and Abdelnasser A (2014). Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective. IEEE Wireless Communications, 21(3): 118-127. https://doi.org/10.1109/MWC.2014.6845056 [Google Scholar]
- Hu RQ and Qian Y (2014). An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems. IEEE Communications Magazine, 52(5): 94-101. https://doi.org/10.1109/MCOM.2014.6815898 [Google Scholar]
- Iii JM (2000). An integrated agent architecture for software defined radio. Available online at: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.1199 [Google Scholar]
- Kolodzy P and Avoidance I (2002). Spectrum policy task force. Federal Communications Commission, Washington, Report ET Docket, 40(4): 147-158. [Google Scholar]
- Kolodzy PJ (2006). Interference temperature: A metric for dynamic spectrum utilization. International Journal of Network Management, 16(2): 103-113. https://doi.org/10.1002/nem.608 [Google Scholar]
- Larsson EG, Edfors O, Tufvesson F, and Marzetta TL (2014). Massive MIMO for next generation wireless systems. IEEE Communications Magazine, 52(2): 186-195. https://doi.org/10.1109/MCOM.2014.6736761 [Google Scholar]
- Lauridsen M, Gimenez LC, Rodriguez I, Sorensen TB, and Mogensen P (2017). From LTE to 5G for connected mobility. IEEE Communications Magazine, 55(3): 156-162. https://doi.org/10.1109/MCOM.2017.1600778CM [Google Scholar]
- Lauridsen M, Nguyen H, Vejlgaard B, Kovács IZ, Mogensen P, and Sorensen M (2017). Coverage comparison of GPRS, NB-IoT, LoRa, and SigFox in a 7800 km² area. In 2017 IEEE 85th Vehicular Technology Conference, IEEE, Sydney, Australia: 1-5. https://doi.org/10.1109/VTCSpring.2017.8108182 [Google Scholar]
- Levanen T, Pirskanen J, and Valkama M (2014). Radio interface design for ultra-low latency millimeter-wave communications in 5G era. In 2014 IEEE Globecom Workshops (GC Wkshps), IEEE, Austin, USA: 1420-1426. https://doi.org/10.1109/GLOCOMW.2014.7063633 [Google Scholar]
- Lucero S (2016). IoT platforms: Enabling the internet of things. Technology. Available online at: https://www.semanticscholar.org/author/Sr.-Principal-Analyst/2097904928 [Google Scholar]
- Mekki K, Bajic E, Chaxel F, and Meyer F (2018). Overview of cellular LPWAN technologies for IoT deployment: Sigfox, LoRaWAN, and NB-IoT. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, IEEE, Athens, Greece: 197-202. https://doi.org/10.1109/PERCOMW.2018.8480255 [Google Scholar]
- Mitola J and Maguire GQ (1999). Cognitive radio: making software radios more personal. IEEE Personal Communications, 6(4): 13-18. https://doi.org/10.1109/98.788210 [Google Scholar]
- Mukhopadhyay, S.C., Suryadevara, N.K. (2014). Internet of things: Challenges and opportunities. In: Mukhopadhyay S (Ed.), Internet of Things: 1-17. Springer, New York, US. https://doi.org/10.1007/978-3-319-04223-7 [Google Scholar]
- Nam W, Bai D, Lee J, and Kang I (2014). Advanced interference management for 5G cellular networks. IEEE Communications Magazine, 52(5): 52-60. https://doi.org/10.1109/MCOM.2014.6815893 [Google Scholar]
- NetWorld2020 ETP (2014). 5g: Challenges, research priorities, and recommendations. NetWorld2020 Expert Working Group: European Technology Platform for Communications Networks and Services. Available online at: https://networld2020.eu/wp-content/uploads/2015/01/Joint-Whitepaper-V12-clean-after-consultation.pdf [Google Scholar]
- NGMN (2015). 5G white paper. Next Generation Mobile Networks, Frankfurt, Germany. Available online at: https://www.ngmn.org/work-programme/5g-white-paper.html [Google Scholar]
- Omoniwa B, Hussain R, Javed MA, Bouk SH, and Malik SA (2018). Fog/edge computing-based IoT (FECIoT): Architecture, applications, and research issues. IEEE Internet of Things Journal, 6(3): 4118-4149. https://doi.org/10.1109/JIOT.2018.2875544 [Google Scholar]
- Palattella MR, Dohler M, Grieco A, Rizzo G, Torsner J, Engel T, and Ladid L (2016). Internet of things in the 5G era: Enablers, architecture, and business models. IEEE Journal on Selected Areas in Communications, 34(3): 510-527. https://doi.org/10.1109/JSAC.2016.2525418 [Google Scholar]
- Ramya CM, Shanmugaraj M, and Prabakaran R (2011). Study on ZigBee technology. In 2011 3rd International Conference on Electronics Computer Technology, IEEE, Kanyakumari, India, 6: 297-301. https://doi.org/10.1109/ICECTECH.2011.5942102 [Google Scholar]
- Sachs J, Maric I, and Goldsmith A (2010). Cognitive cellular systems within the TV spectrum. In 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN), IEEE, Singapore, Singapore: 1-12. https://doi.org/10.1109/DYSPAN.2010.5457874 [Google Scholar]
- Salva-Garcia P, Alcaraz-Calero JM, Wang Q, Bernabe JB, and Skarmeta A (2018). 5G NB-IoT: Efficient network traffic filtering for multitenant IoT cellular networks. Security and Communication Networks, Article ID: 9291506. https://doi.org/10.1155/2018/9291506 [Google Scholar]
- Schaich F, and Wild T (2014). Waveform contenders for 5G-OFDM vs. FBMC vs. UFMC. In 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), IEEE, Athens, Greece: 457-460. https://doi.org/10.1109/ISCCSP.2014.6877912 [Google Scholar]
- Sethi P and Sarangi SR (2017). Internet of things: Architectures, protocols, and applications. Journal of Electrical and Computer Engineering, Article ID: 9324035. https://doi.org/10.1155/2017/9324035 [Google Scholar]
- Sharma C and Gondhi NK (2018, February). Communication protocol stack for constrained IoT systems. In 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages, IEEE, Bhimtal, India: 1-6. https://doi.org/10.1109/IoT-SIU.2018.8519904 [Google Scholar]
- Tandra R, Mishra SM, and Sahai A (2009). What is a spectrum hole and what does it take to recognize one?. Proceedings of the IEEE, 97(5): 824-848. https://doi.org/10.1109/JPROC.2009.2015710 [Google Scholar]
- Wang CX, Haider F, Gao X, You XH, Yang Y, Yuan D, and Hepsaydir E (2014). Cellular architecture and key technologies for 5G wireless communication networks. IEEE Communications Magazine, 52(2): 122-130. https://doi.org/10.1109/MCOM.2014.6736752 [Google Scholar]
- Wilhelmsson LR, Lopez MM, and Sundman D (2017). NB-WiFi: IEEE 802.11 and Bluetooth low energy combined for efficient support of IoT. In 2017 IEEE Wireless Communications and Networking Conference, IEEE, San Francisco, USA: 1-6. https://doi.org/10.1109/WCNC.2017.7925808 [Google Scholar]
- Wu J (2011). OUTLOOK-visions and research directions for the wireless world-requirements and vision for NG-Wireless. In Wireless World Research Forum, Volume 7, Munich, Bavaria, Germany. [Google Scholar]
- Xu H and Li B (2012). Resource allocation with flexible channel cooperation in cognitive radio networks. IEEE Transactions on Mobile Computing, 12(5): 957-970. https://doi.org/10.1109/TMC.2012.62 [Google Scholar]
- Yang L and Zhang W (2015). Interference coordination for 5g cellular networks. Springer International Publishing, New York, USA. https://doi.org/10.1007/978-3-319-24723-6 [Google Scholar]
- Yousefpour A, Fung C, Nguyen T, Kadiyala K, Jalali F, Niakanlahiji A, and Jue JP (2019). All one needs to know about fog computing and related edge computing paradigms: A complete survey. Journal of Systems Architecture, 98: 289-330. https://doi.org/10.1016/j.sysarc.2019.02.009 [Google Scholar]
- Yucek T and Arslan H (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials, 11(1): 116-130. https://doi.org/10.1109/SURV.2009.090109 [Google Scholar]
- Zhong CL, Zhu Z, and Huang RG (2015). Study on the IOT architecture and gateway technology. In 2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science, IEEE, Guiyang, China: 196-199. https://doi.org/10.1109/DCABES.2015.56 [Google Scholar]
- Zhou X, Zhao Z, Li R, Zhou Y, Chen T, Niu Z, and Zhang H (2014). Toward 5G: When explosive bursts meet soft cloud. IEEE Network, 28(6): 12-17. https://doi.org/10.1109/MNET.2014.6963799 [Google Scholar]