Traffic modeling and performance evaluation of SDN-based NB-IoT access network
Corresponding Author
Xin Chen
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Xin Chen, School of Computer Science, Beijing Information Science & Technology University, No.35 Beisihuan Middle Road, Chaoyang District, Beijing, China.
Email: [email protected]
Search for more papers by this authorZhuo Li
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Search for more papers by this authorYing Chen
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Search for more papers by this authorBing Du
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Search for more papers by this authorYongchao Zhang
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Search for more papers by this authorCorresponding Author
Xin Chen
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Xin Chen, School of Computer Science, Beijing Information Science & Technology University, No.35 Beisihuan Middle Road, Chaoyang District, Beijing, China.
Email: [email protected]
Search for more papers by this authorZhuo Li
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Search for more papers by this authorYing Chen
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Search for more papers by this authorBing Du
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Search for more papers by this authorYongchao Zhang
School of Computer Science, Beijing Information Science & Technology University, Beijing, China
Search for more papers by this authorSummary
Narrow Band Internet of Things (NB-IoT) is a cellular-based low power wide area network (LPWAN) radio technology, which can provide highly reliable services and wide coverage for IoT devices. Software defined networking (SDN) as an emerging network architecture can realize flexible resource allocation and network management. We introduce SDN into NB-IoT and investigate the traffic modeling and performance evaluation of SDN-based NB-IoT access network. To evaluate the network performance in different environments, we introduce the Beta/D/1, Uniform/D/1, and M/D/1 queuing models, respectively. The proposed queuing models are suitable for different scenarios, in which NB-IoT devices access the network in a highly synchronized, unsynchronized, or stochastic manner. We use the general solution to the G/G/1 and the M/G/1 queuing model to solve the proposed modeling problems. Through simulations, we investigate the influence of different network parameters. The analysis and simulation results can be used in the SDN controller to dynamically allocate resources and make network management decisions to satisfy different performance requirements of NB-IoT applications.
REFERENCES
- 1 Internet of Things Global Standards Initiative. Technical Report. Geneva, Switzerland: ITU; 2016. https://www.itu.int/en/ITU-T/gsi/IoT/Pages/default.aspx
- 2 Ericsson Mobility Report: On the Pulse of the Network Society. Technical Report. Stockholm, Sweden: Ericsson; 2016. https://www.ericsson.com/assets/local/mobility-report/documents/2016/ericsson-mobility-report-june-2016.pdf
- 3Persia S, Rea L. Next generation M2M cellular networks: LTE-MTC and NB-IoT capacity analysis for smart grids applications. Paper presented at: 2016 AEIT International Annual Conference (AEIT); 2016; Capri, Italy.
- 4 Evolved Universal Terrestrial Radio Access (E-UTRA); NB-IOT. Technical Report for BS and UE radio transmission and reception.Technical Report, 3GPP TR 36.802. Sophia Antipolis, France: 3GPP; 2016. Technical Specification Group Radio Access Networks(Release 13).
- 5 Study of Narrow-Band Internet of Things (NB-IoT) Radio Frequency (RF) requirement to co-existence with Code Division Multiple Access (CDMA). Technical Report, 3GPP TR 36.752. Sophia Antipolis, France: 3GPP; 2016. Technical Specification Group Radio Access Networks(Release 14).
- 6 NB-IoT. Technical Report. Shenzhen, China: Huawei; 2018. http://developer.huawei.com/ict/cn/site-IoT/product/nb-IoT
- 7Cheng X, Wu Y, Min G, Zomaya AY. Network function virtualization in dynamic networks: a stochastic perspective. IEEE J Sel Areas Commun. 2018; 36(10): 2218-2232. https://doi.org/10.1109/JSAC.2018.2869958
- 8Benzekki K, El Fergougui A, Elbelrhiti Elalaoui A. Software-defined networking (SDN): a survey. Secur Commun Netw. 2016; 9(18): 5803-5833. https://doi.org/10.1002/sec.1737
- 9Hoglund A, Lin X, Liberg O, et al. Overview of 3GPP release 14 enhanced NB-IoT. IEEE Netw. 2017; 31(6): 16-22. https://doi.org/10.1109/MNET.2017.1700082
- 10Miao W, Min G, Wu Y, Wang H, Hu J. Performance modelling and analysis of software-defined networking under bursty multimedia traffic. ACM Trans Multimedia Comput Commun Appl. 2016; 12(5s): 77:1-77:19. https://doi.org/10.1145/2983637
- 11Beyene YD, Jantti R, Ruttik K, Iraji S. On the performance of narrow-band Internet of Things (NB-IoT). Paper presented at: 2017 IEEE Wireless Communications and Networking Conference (WCNC); 2017; San Francisco, CA.
- 12Foni S, Pecorella T, Fantacci R, Carlini C, Obino P, Di Benedetto MG. Evaluation methodologies for the nb-iot system: issues and ongoing efforts. Paper presented at: 2017 AEIT International Annual Conference; 2017; Cagliari, Italy.
- 13Sun Y, Tong F, Zhang Z, He S. Throughput modeling and analysis of random access in narrowband Internet of Things. IEEE Internet Things J. 2018; 5(3): 1485-1493. https://doi.org/10.1109/JIOT.2017.2782318
- 14Miao Y, Li W, Tian D, Hossain MS, Alhamid MF. Narrowband Internet of Things: simulation and modeling. IEEE Internet Things J. 2018; 5(4): 2304-2314. https://doi.org/10.1109/JIOT.2017.2739181
- 15Harwahyu R, Cheng R-G, Wei C-H. Investigating the performance of the random access channel in NB-IoT. Paper presented at: 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall); 2017; Toronto, Canada.
- 16Wang X, Chen X, Li Z, Chen Y. Access delay analysis and optimization of NB-IoT based on stochastic network calculus. Paper presented at: 2018 IEEE International Conference on Smart Internet of Things (SmartIoT); 2018; Xi'an, China.
- 17Miao Y, Tian Y, Cheng J, Hossain MS, Ghoneim A. RADB: random access with differentiated barring for latency-constrained applications in NB-IoT network. Wirel Commun Mob Comput. 2018.
- 18Malik H, Pervaiz H, Alam MM, Le Moullec Y, Kuusik A, Imran MA. Radio resource management scheme in NB-IoT systems. IEEE Access. 2018; 6: 15051-15064. https://doi.org/10.1109/ACCESS.2018.2812299
- 19Harwahyu R, Cheng R-G, Wei C-H, Sari RF. Optimization of random access channel in NB-IoT. IEEE Internet Things J. 2018; 5(1): 391-402. https://doi.org/10.1109/JIOT.2017.2786680
- 20Shirvanimoghaddam M, Condoluci M, Dohler M, Johnson SJ. On the fundamental limits of random non-orthogonal multiple access in cellular massive IoT. IEEE J Sel Areas Commun. 2017; 35(10): 2238-2252. https://doi.org/10.1109/JSAC.2017.2724442
- 21Nunes BAA, Mendonca M, Nguyen XN, Obraczka K, Turletti T. A survey of software-defined networking: past, present, and future of programmable networks. IEEE Commun Surv Tutor. 2014; 16(3): 1617-1634. https://doi.org/10.1109/SURV.2014.012214.00180
- 22Kreutz D, Ramos FMV, Veríssimo PE, Rothenberg CE, Azodolmolky S, Uhlig S. Software-defined networking: a comprehensive survey. Proc IEEE. 2015; 103(1): 14-76. https://doi.org/10.1109/JPROC.2014.2371999
- 23Kim H, Feamster N. Improving network management with software defined networking. IEEE Commun Mag. 2013; 51(2): 114-119. https://doi.org/10.1109/MCOM.2013.6461195
- 24Hossen MS, Jamalipour A. Traffic steering for SDN-based cellular networks: policy dependent framework. Paper presented at: 2018 IEEE International Conference on Communications (ICC); 2018; Kansas City, MO.
- 25Wang K, Wang Y, Zeng D, Guo S. An SDN-based architecture for next-generation wireless networks. IEEE Wirel Commun. 2017; 24(1): 25-31. https://doi.org/10.1109/MWC.2017.1600187WC
- 26Khan F, Portmann M. Backhaul, QoS, and channel-aware load balancing optimization in SDN-based LTE networks. Paper presented at: 2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS); 2017; Gold Coast, Australia.
- 27Wu Y, Min G, Li K, Javadi B. Modeling and analysis of communication networks in multicluster systems under spatio-temporal bursty traffic. IEEE Trans Parallel Distrib Syst. 2012; 23(5): 902-912. https://doi.org/10.1109/TPDS.2011.198
- 28Min G, Ould-Khaoua M. A performance model for wormhole-switched interconnection networks under self-similar traffic. IEEE Trans Comput. 2004; 53(5): 601-613. https://doi.org/10.1109/TC.2004.1275299
- 29Adan I, Resing J. Queueing theory. 2002.
- 30Jian X, Zeng X, Jia Y, Zhang L, He Y. Beta/M/1 model for machine type communication. IEEE Commun Lett. 2013; 17(3): 584-587. https://doi.org/10.1109/LCOMM.2013.012213.122637
- 31Strielkina A, Uzun D, Kharchenko V. Modelling of healthcare IoT using the queueing theory. Paper presented at: 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS); 2017; Bucharest, Romania.
- 32Gharbieh M, ElSawy H, Yang H-C, Bader A, Alouini M. Spatiotemporal model for uplink IoT traffic: scheduling and random access paradox. IEEE Trans Wirel Commun. 2018; 17(12): 8357-8372. https://doi.org/10.1109/TWC.2018.2876522
- 33Cooper RB. Introduction to Queueing Theory. Amsterdam, The Netherlands: North Holland; 1981.
- 34 Randomservices. The beta distribution. Technical Report. 2018. http://www.randomservices.org/random/special/Beta.html
- 35 Netlab. Technical Report. 2018. https://www.netlab.tkk.fi/opetus/s383143/kalvot/E_mg1jono.pdf
- 36Zukerman M. Introduction to queueing theory and stochastic teletraffic models. 2013. arXiv preprint arXiv:1307.2968.
- 37Prasad KM, Usha B. A comparison between M/M/1 and M/D/1 queuing models to vehicular traffic atKanyakumari district. IOSR J Math. 2015; 11(1): 13-15.
- 38Ross SM. Introduction to Probability Models. Cambridge, MA: Academic Press; 2014.
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