Page 124 - Proceedings of the 2018 ITU Kaleidoscope

2018 ITU Kaleidoscope Academic Conference

[8] A. Biral, M. Centenaro, A. Zanella, L. Vangelista, Mag., vol. 56, no. 2, pp. 60–67, 2018.
and M. Zorzi, “The challenges of M2M massive
access in wireless cellular networks,” Digit. [21] T. Salimans, J. Ho, X. Chen, S. Sidor, and I.
Commun. Networks, vol. 1, no. 1, pp. 1–19, 2015. Sutskever, “Evolution Strategies as a Scalable
Alternative to Reinforcement Learning,” ArXiv e-
[9] T. Wild, F. Schaich, and Y. Chen, “5G air interface prints, Mar. 2017.
design based on Universal Filtered (UF-)OFDM,” in
2014 19th International Conference on Digital [22] D. Whitley, “A genetic algorithm tutorial,” Stat.
Signal Processing, 2014, pp. 699–704. Comput., vol. 4, no. 2, pp. 65–85, 1994.

[10] LoRa-Alliance, “LoRa,” 2017. [Online]. Available: [23] R. Sanchez-Iborra, J. Sanchez-Gomez, J. Ballesta-
https://www.lora-alliance.org/. [Accessed: 22-Feb- Viñas, M.-D. Cano, and A. F. Skarmeta,
2018]. “Performance Evaluation of LoRa Considering
Scenario Conditions,” Sensors, vol. 18, no. 3, 2018.
[11] R. M. Sandoval, A.-J. Garcia-Sanchez, J. Garcia-
Haro, and T. M. Chen, “Optimal policy derivation [24] X. Wang, Z. Li, P. Xu, Y. Xu, X. Gao, and H. H.
for Transmission Duty-Cycle constrained LPWAN,” Chen, “Spectrum Sharing in Cognitive Radio
IEEE Internet Things J., pp. 1–1, 2018. Networks #x2014;An Auction-Based Approach,”
IEEE Trans. Syst. Man, Cybern. Part B, vol. 40, no.
[12] ETSI, “Final draft ETSI EN 300 220-1 V2.4.1 3, pp. 587–596, 2010.
(2012-01),” 2012.
[25] D. C. Parkes, L. H. Ungar, and D. P. Foster,
[13] M. R. Palattella et al., “Internet of Things in the 5G “Accounting for Cognitive Costs in On-line Auction
Era: Enablers, Architecture, and Business Models,” Design,” in Agent Mediated Electronic Commerce,
IEEE J. Sel. Areas Commun., vol. 34, no. 3, pp. 510– 1999, pp. 25–40.
527, 2016.
[26] B. Dusza, C. Ide, L. Cheng, and C. Wietfeld, “An
[14] W. H. Chin, Z. Fan, and R. Haines, “Emerging accurate measurement-based power consumption
technologies and research challenges for 5G wireless model for LTE uplink transmissions,” in 2013 IEEE
networks,” IEEE Wirel. Commun., vol. 21, no. 2, pp. Conference on Computer Communications
106–112, 2014. Workshops (INFOCOM WKSHPS), 2013, pp. 49–50.

[15] N. Himayat et al., “Multi-radio heterogeneous [27] L. Casals, B. Mir, R. Vidal, and C. Gomez,
networks: Architectures and performance,” 2014 Int. “Modeling the Energy Performance of LoRaWAN,”
Conf. Comput. Netw. Commun. ICNC 2014, pp. Sensors, vol. 17, no. 10, 2017.
252–258, 2014.
[28] D. Bankov, E. Khorov, and A. Lyakhov,
[16] M. Hasan, E. Hossain, and D. Niyato, “Random “Mathematical model of LoRaWAN channel access,”
access for machine-to-machine communication in in 18th IEEE International Symposium on A World
LTE-advanced networks: Issues and approaches,” of Wireless, Mobile and Multimedia Networks,
IEEE Commun. Mag., vol. 51, no. 6, pp. 86–93, 2013. WoWMoM 2017 - Conference, 2017, no. 15, pp. 1–
3.
[17] J. Li, X. Zhang, S. Wang, and W. Wang, “Context-
oriented multi-RAT user association and resource [29] D. Bankov, E. Khorov, and A. Lyakhov,
allocation with triple decision in 5G heterogeneous “Mathematical model of LoRaWAN channel access
networks,” China Commun., vol. 15, no. 4, pp. 72– with capture effect,” in 2017 IEEE 28th Annual
85, Apr. 2018. International Symposium on Personal, Indoor, and
Mobile Radio Communications (PIMRC), 2017, vol.
[18] P. Andres-Maldonado, P. Ameigeiras, J. Prados- 2017–Octob, no. 14, pp. 1–5.
Garzon, J. Navarro-Ortiz, and J. M. Lopez-Soler,
“Narrowband IoT Data Transmission Procedures for [30] B. Afzal, S. A. Alvi, G. A. Shah, and W. Mahmood,
Massive Machine-Type Communications,” IEEE “Energy efficient context aware traffic scheduling
Netw., vol. 31, no. 6, pp. 8–15, Nov. 2017. for IoT applications,” Ad Hoc Networks, vol. 62, pp.
101–115, Jul. 2017.
[19] M. R. Palattella et al., “Internet of Things in the 5G
Era: Enablers, Architecture, and Business Models,” [31] X. Glorot and Y. Bengio, “Understanding the
IEEE J. Sel. Areas Commun., vol. 34, no. 3, pp. 510– difficulty of training deep feedforward neural
527, 2016. networks,” in Proceedings of the thirteenth
international conference on artificial intelligence
[20] J. Navarro-Ortiz, S. Sendra, P. Ameigeiras, and J. M. and statistics, 2010, pp. 249–256.
Lopez-Soler, “Integration of LoRaWAN and 4G/5G
for the Industrial Internet of Things,” IEEE Commun.

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