Narrow Band Internet of Things

IEEE Access

Volumn 5, Issue , 2017, Pages 20557-20577

  Chen, Min ^a,b   Miao, Yiming ^a   Hao, Yixue ^a   Hwang, Kai ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Intelligent application; Internet of Things; LPWAN; LTE; NB IoT

Indexed keywords

COUPLINGS; ENERGY UTILIZATION; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; LONG TERM EVOLUTION (LTE); MOBILE TELECOMMUNICATION SYSTEMS; SMART CITY; WIRELESS TELECOMMUNICATION SYSTEMS;

3GPP; INTELLIGENT APPLICATIONS; LPWAN; SECURITY; UPLINK;

INTERNET OF THINGS;

EID: 85030635815     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2017.2751586     Document Type: Article

References (100)

1. W. Dai, M. Qiu, L. Qiu, L. Chen, A. Wu, Who moved my data? Privacy protection in smartphones, IEEE Commun. Mag., vol. 54, no. 1, pp. 20-25, Jan. 2017.
2. M. Qiu, E. H.-M. Sha, Cost minimization while satisfying hard/soft timing constraints for heterogeneous embedded systems, ACM Trans. Design Autom. Electron. Syst., vol. 14, no. 2, pp. 1-30, 2009.
3. M. Qiu, Z. Ming, J. Li, K. Gai, Z. Zong, Phase-change memory optimization for green cloud with genetic algorithm, IEEE Trans. Comput., vol. 64, no. 12, pp. 3528-3540, Dec. 2015.
4. Y. Li, M. Chen, Software-defined network function virtualization: A survey, IEEE Access, vol. 3, pp. 2542-2553, 2015.
5. X. Hou, Y. Li, M. Chen, D. Wu, D. Jin, S. Chen, Vehicular fog computing: A viewpoint of vehicles as the infrastructures, IEEE Trans. Veh. Technol., vol. 65, no. 6, pp. 3860-3873, Jun. 2016.
6. F. Xu, Y. Li, H.Wang, P. Zhang, D. Jin, Understanding mobile traffic patterns of large scale cellular towers in urban environment, IEEE/ACM Trans. Netw., vol. 25, no. 2, pp. 1147-1161, 2015.
7. Y. Li, F. Zheng, M. Chen, D. Jin, A unified control, optimization framework for dynamical service chaining in software-defined NFV system, IEEE Wireless Commun., vol. 22, no. 6, pp. 15-23, Dec. 2015.
8. F. Xu, Z. Tu, Y. Li, P. Zhang, X. Fu, D. Jin, Trajectory recovery from ash: User privacy is not preserved in aggregated mobility data, in Proc. 26th Int. Conf. World Wide Web, 2017, pp. 1241-1250.
9. X. Ge, Z. Li, S. Li, 5G software defined vehicular networks, IEEE Commun. Mag., vol. 55, no. 7, pp. 87-93, Jul. 2017.
10. F. Xu, Y. Li, M. Chen, S. Chen, Mobile cellular big data: Linking cyberspace, the physical world with social ecology, IEEE Netw., vol. 30, no. 3, pp. 6-12, Jun. 2016.
11. Cellular System Support for Ultra-Low Complexity, Low Throughput Cellular Internet of Things, document 3GPP TR 45.820, 2015.
12. E-UTRA Physical channels, modulationfiChap.10 Narrowband IoT, document 3GPP TS 36.211, 2016.
13. 3GPP. (2016). Standardization of NB-IOT Completed. [Online]. Available: Http://www.3gpp.org/news-events/3gpp-news/1785-nb-iot-complete
14. (2016). Standards for the Iot. [Online]. Available: Http://www. 3gpp.org/news-events/3gpp-news/1805-iot-r14
15. C. Hoymann, et al., LTE release 14 outlook, IEEE Commun. Mag., vol. 54, no. 6, pp. 44-49, Jun. 2016.
16. P. Reininger, 3Gpp standards for the Internet-of-Things, Huawei, Shenzhen, China, Tech. Rep. 3GPP RAN WG 3, 2016.
17. X. Ge, S. Tu, G. Mao, C.-X. Wang, T. Han, 5G software defined vehicular networks, 5G Ultra-Dense Cellular Netw., vol. 23, no. 1, pp. 72-79, 2016.
18. 5G wireless technology framework, IMT-Adv. Propulsion Group, China, Tech. Rep. IMT2020 (5G), 2015.
19. Standardization of Machine-Type Communications, document TR 23.888, 3GPP, 2014.
20. Feasibility Study on New Services, Markets Technology Enablers for Massive Internet of Things, document TR 22.861, 3GPP, 2016.
21. Feasibility Study on New Services, Markets Technology Enablers-Critical Communications, document TR 22.862, 3GPP, 2016.
22. M. Chen, Y. Qian, Y. Hao, Y. Li, J. Song, Data-driven computing and caching in 5G networks: Architecture, delay analysis, IEEEWireless Commun., vol. 25, no. 1, 2018.
23. Huawei R & D Department, NB-IoT solution introduction, Huawei, Shenzhen, China, Tech. Rep., 2016.
24. M. Science, T. People's Republic China. (2015). Circular on the Application of the National Science, Technology Major Project of the new Generation Broadband Wireless Mobile Communication Network in 2016. [Online]. Available: Http://www. most.gov.cn/tztg/201508/t20150803-120898.htm
25. (2017). Circular on the Application of the National Science and Technology Major Project of the new Generation Broadband Wire-less Mobile Communication Network in 2017. [Online]. Available: Http://www.miit.gov.cn/n1146290/n4388791/c5356011/content.html
26. China Datang Corp., NB-IoT, related cases of transitive networks, World Mobile Congress, Shanghai, China, 2016.
27. A. Rico-Alvarino, M. Vajapeyam, H. Xu, X. Wang, An overview of 3GPP enhancements on machine to machine communications, IEEE Commun. Mag., vol. 54, no. 6, pp. 14-21, Jun. 2016.
28. Ericsson, Cellular networks for massive IoT, Ericsson, Stockholm, Sweden, Tech. Rep., 2016.
29. RIoT, Low power networks hold the key to Internet of Things, Berlin, Germany, Tech. Rep., 2015.
30. D. Guo-Hua andY. Jun-Hua, Research on NB-IoT background, standard development, characteristics, the service, Mobile Commun., vol. 40, no. 7, pp. 31-36, 2016.
31. Z. Yulong, D. Xiaojin, W. Quanquan, Key technologies, application prospect for NB-IoT, ZTE Technol., vol. 23, no. 1, pp. 43-46, 2017.
32. X. Ge, et al., Energy-efficiency optimization for MIMO-OFDM mobile multimedia communication systems with QoS constraints, IEEE Trans. Veh. Technol., vol. 63, no. 5, pp. 2127-2138, May 2014.
33. Q. Xiaocong, M. Mingxin, NB-IoT standardization, technical characteristics and industrial development, Inf. Res., vol. 5, pp. 23-26, May 2016.
34. L. Wei, D. Jiangbo, L. Na, NB-IoT key technology, design simulation method, Telecommun. Sci., vol. S1, pp. 144-148, Jun. 2016.
35. J. J. Nielsen, D. M. Kim, G. C. Madueno, P. Popovski, N. K. Pratas, A tractable model of the LTE access reservation procedure for machinetype communications, in Proc. IEEE Global Commun. Conf., Dec. 2015, pp. 1-6.
36. M. Islam, A.-E. Taha, S. Akl, A survey of access management techniques in machine type communications, IEEE Commun. Mag., vol. 52, no. 4, pp. 74-81, Apr. 2014.
37. F. A. Tobagi, Distributions of packet delay, interdeparture time in slotted aloha, carrier sense multiple access, J. ACM, vol. 29, no. 4, pp. 907-927, 1982.
38. J.-B. Seo, V. C. M. Leung, Design, analysis of backoff algorithms for random access channels in UMTS-LTE, IEEE 802.16 systems, IEEE Trans. Veh. Technol., vol. 60, no. 8, pp. 3975-3989, Oct. 2011.
39. C.-H.Wei, R.-G. Cheng, S.-L. Tsao, Performance analysis of group paging for machine-type communications in LTE networks, IEEE Trans. Veh. Technol., vol. 62, no. 7, pp. 3371-3382, Sep. 2013.
40. A. Laya, L. Alonso, J. Alonso-Zarate, Is the random access channel of LTE, LTE-A suitable for M2M communications? A survey of alternatives, IEEE Commun. Surveys Tuts., vol. 16, no. 1, pp. 4-16, Feb. 2014.
41. M. E. Rivero-Angeles, D. Lara-Rodriguez, F. A. Cruz-Perez, Access delay analysis of adaptive traffic load-Type protocols for S-ALOHA and CSMA in EDGE, in Proc. IEEE Wireless Commun. Netw., vol. 3. Mar. 2003, pp. 1722-1727.
42. A. Mutairi, S. Roy, G. Hwang, Delay analysis of OFDMA-aloha, IEEE Trans. Wireless Commun., vol. 12, no. 1, pp. 89-99, Jan. 2013.
43. Y. Yang, T. S. P. Yum, Delay distributions of slotted ALOHA and CSMA, IEEE Trans. Commun., vol. 51, no. 11, pp. 1846-1857, Nov. 2003.
44. C. H. Wei, P. C. Lin, R. G. Cheng, Comment on An efficient random access scheme for OFDMA systems with implicit message transmission', IEEE Trans. Wireless Commun., vol. 12, no. 1, pp. 414-415, Jan. 2013.
45. R. R. Tyagi, F. Aurzada, K.-D. Lee, M. Reisslein, Connection establishment in LTE-A networks: Justification of poisson process modeling, IEEE Syst. J., to be published, doi:10.1109/JSYST.2014.2387371.
46. P. Sergio, Study on MTC, Other Mobile Data Applications Communi-cations Enhancements, document TR 23.887, 3GPP, Sep. 2013.
47. Service Aspects, Service Principles, document G. T. 22.101, 2015.
48. R. G. Cheng, C. H. Wei, S. L. Tsao, F. C. Ren, Rach collision probability for machine-type communications, in Proc. Veh. Technol. Conf., 2012, pp. 1-5.
49. J. Xin, Z. Xiaoping, T. Xiaoheng, T. Mi, M. Lijuan, Improved multichannel s-aloha transient performance analysis method, its application, J. Electron. Inf., vol. 38, no. 8, pp. 1894-1900, 2016.
50. D. Raychaudhuri, J. Harman, Dynamic performance of ALOHA-type VSAT channels: A simulation study, IEEE Trans. Commun., vol. 38, no. 2, pp. 251-259, Feb. 1990.
51. Q. Ren, H. Kobayashi, Transient analysis of media access protocols by diffusion approximation, in Proc. IEEE Int. Symp. Inf. Theory, Sep. 1995, p. 107.
52. C. H. Wei, G. Bianchi, R. G. Cheng, Modeling, analysis of random access channels with bursty arrivals in OFDMA wireless networks, IEEE Trans.Wireless Commun., vol. 14, no. 4, pp. 1940-1953, Apr. 2015.
53. C. H. Wei, R. G. Cheng, S. L. Tsao, Modeling, estimation of one-shot random access for finite-user multichannel slotted ALOHA systems, IEEE Commun. Lett., vol. 16, no. 8, pp. 1196-1199, Aug. 2012.
54. B. Yang, G. Zhu, W. Wu, Y. Gao, M2m access performance in LTE-a system, Trans. Emerg. Telecommun. Technol., vol. 25, no. 1, pp. 3-10, 2014.
55. G. C. Maduenõ, C. Stefanovi¢, P. Popovski, Reengineering GSM/GPRS towards a dedicated network for massive smart metering, in Proc. SmartGridComm, Nov. 2014, pp. 338-343.
56. M. Centenaro, L. Vangelista, A study on M2M traffic, its impact on cellular networks, in Proc. Internet Things, 2015, pp. 154-159.
57. Ericsson, Downlink CCCH capacity evaluation for MTC, Stockholm, Sweden, Tech. Rep. G. GP-100893, 2010.
58. ZTE R & D Department, LTE MTC LTE simulations, ZTE, China, Tech. Rep. G. R2-104663, 2010.
59. P. Osti, P. Lassila, S. Aalto, A. Larmo, T. Tirronen, Analysis of PDCCH performance for M2M traffic in LTE, IEEE Trans. Veh. Technol., vol. 63, no. 9, pp. 4357-4371, Nov. 2014.
60. G.-Y. Lin, S.-R. Chang, H.-Y. Wei, Estimation, adaptation for bursty LTE random access, IEEE Trans. Veh. Technol., vol. 65, no. 4, pp. 2560-2577, Apr. 2016.
61. J. Liu, J. Wan, B. Zeng, Q. Wang, H. Song, M. Qiu, A scalable and quick-response software defined vehicular network assisted by mobile edge computing, IEEE Commun. Mag., vol. 55, no. 7, pp. 94-100, Jul. 2017.
62. L. Dai, Stability, delay analysis of buffered aloha networks, IEEE Trans. Wireless Commun., vol. 11, no. 8, pp. 2707-2719, Aug. 2012.
63. M. E. Rivero-Angeles, D. Lara-Rodriguez, F. A. Cruz-Perez, Gaussian approximations for the probability mass function of the access delay for different backoff policies in S-ALOHA, IEEE Commun. Lett., vol. 10, no. 10, pp. 731-733, Oct. 2006.
64. M. Koseoglu, Lower bounds on the LTE-a average random access delay under massive m2m arrivals, IEEE Trans. Commun., vol. 64, no. 5, pp. 2104-2115, May 2016.
65. Z. Li, Research on low cost MTC indoor coverage enhancement technology, Ph.D. dissertation, School Commun. Eng., Chongqing Univ., Chongqing, China, 2014.
66. Q. Xintao, Research on coverage enhancement, resource allocation of M2M communication based on LTE-advanced, Ph.D. dissertation, School Commun. Eng., Beijing Jiaotong Univ., Beijing, China, 2015.
67. G. Naddafzadeh-Shirazi, L. Lampe, G. Vos, S. Bennett, Coverage enhancement techniques for machine-to-machine communications over LTE, IEEE Commun. Mag., vol. 53, no. 7, pp. 192-200, Jul. 2015.
68. L. Bin, Discussion on Internet of Things coverage enhancement technology of NB-IoT, Mobile Commun., vol. 40, no. 19, pp. 55-59, 2016.
69. A. Goldsmith, Wireless Communications. Cambridge, U.K.: Cambridge Univ. Press, 2005, pp. 25-55.
70. Y. Fan, Z. Xiaoping, J. Xin, Z. Jihua, R. Dingliang, G. Yiwen, An adaptive modulation algorithm for non data aided error vector magnitude in fast time-varying channels, J. Commun., vol. 38, no. 3, pp. 73-82, 2017.
71. X. Ge, J. Yang, H. Gharavi, Y. Sun, Energy efficiency challenges of 5G small cell networks, IEEE Commun. Mag., vol. 55, no. 5, pp. 184-191, 2017.
72. Huawei R & D Department, Discussion on REL-13 NB-IoT evaluations, Huawei, Shenzhen, China, Tech. Rep. G. RP-161006, 2016.
73. S.-R. Yang, Y.-B. Lin, Modeling UMTS discontinuous reception mechanism, IEEE Trans. Wireless Commun., vol. 4, no. 1, pp. 312-319, Jan. 2005.
74. S. Jin, D. Qiao, Numerical analysis of the power saving in 3GPP LTE advanced wireless networks, IEEE Trans. Veh. Technol., vol. 61, no. 4, pp. 1779-1785, Apr. 2012.
75. C.-C. Tseng, H.-C. Wang, F.-C. Kuo, K. C. Ting, H. H. Chen, G. Y. Chen, Delay, power consumption in LTE/LTE-A DRX mechanism with mixed short, long cycles, IEEE Trans. Veh. Technol., vol. 65, no. 3, pp. 1721-1734, Mar. 2016.
76. H. Ramazanali, A. Vinel, Performance evaluation of LTE/LTE-A DRX: A Markovian approach, IEEE Internet Things J., vol. 3, no. 3, pp. 386-397, 2016.
77. A. T. Koc, S. C. Jha, R. Vannithamby, M. Torlak, Device power saving, latency optimization in LTE-A networks through DRX configuration, IEEE Trans. Wireless Commun., vol. 13, no. 5, pp. 2614-2625, May 2014.
78. K. Zhou, N. Nikaein, T. Spyropoulos, LTE/LTE-A discontinuous reception modeling for machine type communications, IEEE Wireless Commun. Lett., vol. 2, no. 1, pp. 102-105, Feb. 2013.
79. T. Tirronen, A. Larmo, J. Sachs, B. Lindoff, N. Wiberg, Machineto-machine communication with long-term evolution with reduced device energy consumption, Trans. Emerg. Telecommun. Technol., vol. 24, no. 4, pp. 413-426, 2013.
80. N. M. Balasubramanya, L. Lampe, G. Vos, S. Bennett, DRX with quick sleeping: A novel mechanism for energy-efficient IoT using LTE/LTE-A, IEEE Internet Things J., vol. 3, no. 3, pp. 398-407, Mar. 2016.
81. A. Chockalingam, M. Zorzi, Energy efficiency of media access protocols for mobile data networks, IEEE Trans. Commun., vol. 46, no. 11, pp. 1418-1421, Nov. 1998.
82. Y. Yang, T. P. Yum, Analysis of power ramping schemes for UTRA-FDD random access channel, IEEE Trans. Wireless Commun., vol. 4, no. 6, pp. 2688-2693, Nov. 2005.
83. G. Zhang, A. Li, K.Yang, L. Zhao, D. Cheng, Optimal power control for delay-constraint machine type communications over cellular uplinks, IEEE Commun. Lett., vol. 20, no. 6, pp. 1168-1171, Jun. 2016.
84. H. S. Dhillon, H. C. Huang, H. Viswanathan, R. A. Valenzuela, Power-efficient system design for cellular-based machine-to-machine communications, IEEE Trans. Wireless Commun., vol. 12, no. 11, pp. 5740-5753, Nov. 2013.
85. K. Lin, D. Wang, F. Xia, H. Ge, Device clustering algorithm based on multimodal data correlation in cognitive Internet of Things, IEEE Internet Things J., to be published.
86. Huawei R & D Department, Modeling, experiential evaluation of vertical industry in IoT, Huawei, Shenzhen, China, Tech. Rep., 2016.
87. K. Lin, J. Song, J. Luo, W. Ji, M. S. Hossain, A. Ghoneim, Green video transmission in the mobile cloud networks, IEEE Trans. Circuits Syst. Video Technol., vol. 27, no. 1, pp. 159-169, Jan. 2017.
88. F. Francois, O. H. Abdelrahman, E. Gelenbe, Impact of signaling storms on energy consumption, latency of LTE user equipment, in Proc. IEEE Int. Conf. High Perform. Comput. Commun., Aug. 2015, pp. 1248-1255.
89. G. Gorbil, O. H. Abdelrahman, M. Pavloski, E. Gelenbe, Modeling and analysis of RRC-based signalling storms in 3G networks, IEEE Trans. Emerg. Topics Comput., vol. 4, no. 1, pp. 113-127, Jan. 2016.
90. U. Phuyal, A. T. Koc, M.-H. Fong, R. Vannithamby, Controlling access overload, signaling congestion in M2M networks, in Proc. Signals, Syst. Comput., 2013, pp. 591-595.
91. R. Cheng, A. Deng, F. Meng, Study of NB-IoT planning objectives and planning roles, China Mobile Group Design Inst. Co., Tech. Rep. Telecommun. Sci. (S1), 2016.
92. W. Zhong, R. Yu, S. Xie, Y. Zhang, D. Tsang, Software defined networking for-exible, green energy Internet, IEEE Commun. Mag., vol. 54, no. 12, pp. 68-75, Dec. 2016.
93. K.Wang, Y. Shao, L. Shu, C. Zhu, Y. Zhang, Mobile big data faulttolerant processing for ehealth networks, IEEE Netw., vol. 30, no. 1, pp. 36-42, Jan. 2016.
94. Y. Zhang, R. Yu, S. Xie, W. Yao, Y. Xiao, M. Guizani, Home M2M networks: Architectures, standards, QoS improvement, IEEE Commun. Mag., vol. 49, no. 4, pp. 44-52, Apr. 2011.
95. J. He, J. Wei, K. Chen, Z. Tang, Y. Zhou, Y. Zhang, Multi-tier fog computing with large-scale IoT data analytics for smart cities, IEEE Internet Things J., to be published.
96. H. Lu, Y. Li, S. Mu, D.Wang, H. Kim, S. Serikawa, Motor anomaly detection for unmanned aerial vehicles using reinforcement learning, IEEE Internet Things J., to be published.
97. M. Chen, K. Hwang, Cognitive Computing, Deep Learn-ing for Intelligent Applications based on IoT/Cloud. Beijing, China: Machinery Ind. Press, 2017.
98. S. Zhixin, H. Hanshu, Security issues of NB-IoT, ZTE Technol., vol. 23, no. 1, pp. 47-50, 2017.
99. M. Chen, Introduction to Cognitive Computing. Wuhan, China: Huazhong Univ. Sci. Technol. Press, 2017.
100. K. Hwang, M. Chen, Big Data Analytics for Cloud/IoT, Cognitive Computing. London, U.K.: Wiley, 2017.