Informatics and Applications
2017, Volume 11, Issue 3, pp 90-98
PROBABILITY MODEL FOR ANALYZING LICENSED SHARED ACCESS WITH ADAPTIVE POWER CONTROL IN A WIRELESS NETWORK
- I. A. Gudkova
- S. Ya. Shorgin
Abstract
Emerging next generation wireless networks involve new applications and services for human-to-human and machine-to-machine (M2M) devices. The problem of increasing requirements for network capacity and lack of radio spectrum arises. The solution could be found in the licensed shared access framework, e. g., in the case of smart cities. The authors propose a mathematical model of shared access to spectrum with adaptive power control.
The algorithm makes it possible to avoid the interference between M2M devices and the spectrum owner due, in part, to the fact that it takes into account the spatial distribution and session activity of devices.
[+] References (15)
- Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016—2021 White Paper. March 28, 2017. Available at: http://www.cisco.com/c/en/us/ solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.html (accessed June 26, 2017).
- Andrews, J., S. Buzzi, W. Choi, S.V. Hanly, A. Lozano, C. K. Soong, and J. C. Zhang. 2014. What will 5G be? IEEEJ. Sel. Area. Comm. 32:1065—1082.
- ETSI TR 103 113. July 2013. Electromagnetic compatibility and Radio spectrum Matters (ERM); System Reference document (SRdoc); Mobile broadband services in the 2300 MHz —2400 MHz frequency band under Licensed Shared Access regime. Available at: http://www.etsi.org/deliver/etsi_tr/103100_103199/103113/01.01.01_60/tr_103113v010101p.pdf (accessed June 26, 2017).
- ETSI TR 103 154. October 2014. Reconfigurable Radio Systems (RRS); System requirements for operation of Mobile Broadband Systems in the 2300 MHz — 2400 MHz band under Licensed Shared Access (LSA). v1.1.1. Available at: http://www.etsi.org/deliver/etsi_TS/103100_103199/103154/01.01.01_60/ts_103154v010101p.pdf (accessed June 26, 2017).
- ETSI TR 103 235. October 2015. Reconfigurable Radio Systems (RRS); System architecture and high level procedures for operation of Licensed Shared Access (LSA) in the 2300 MHz —2400 MHz band. v1.1.1. Available at: http://www.etsi.org/deliver/etsi_ts%5C103200_103299 %5C103235%5C01.01.01_60%5Cts_103235v010101p. pdf (accessed June 26, 2017).
- Buckwitz, K., J. Engelberg, and G. Rausch. 2014. Licensed Shared Access (LSA) — regulatory background and view of Administrations. 9th Conference (International) on Cognitive Radio Oriented Wireless Networks. IEEE. 413-416.
- Ahokangas, P., M. Matinmikko, S. Yijola, M. Mustonen, H. Posti, E. Luttinen, and A. Kivimaki. 2014. Business models for mobile network operators in Licensed Shared Access (LSA). IEEE Symposium (International) on Dynamic Spectrum Access Networks. IEEE. 263-270.
- Borodakiy, V.Y., K. E. Samouylov, I. A. Gudkova, D. Y. Ostrikova, A. A. Ponomarenko, A. M. Turlikov, and S. D. Andreev. 2014. Modeling unreliable LSA operation in 3GPP LTE cellular networks. 6th Congress (International) on Ultra Modern Telecommunications and Control Systems and Workshops Proceedings. Piscataway, NJ: IEEE. 490-496.
- Ponomarenko-Timofeev, A., A. Pyattaev, S. Andreev, Ye. Koucheryavy, M. Mueck, and I. Karls. 2015. Highly dynamic spectrum management within licensed shared access regulatory framework. IEEE Commun. Mag. 54(3):100-109.
- Gudkova, I. A., K. E. Samouylov, D. Y. Ostrikova, E. V. Mokrov, A. A. Ponomarenko-Timofeev, S. D. Andreev, and Y. A. Koucheryavy. 2015. Service failure and interruption probability analysis for Licensed Shared Access regulatory framework. 7th Congress (International) on Ultra Modern Telecommunications and Control Systems and Workshops Proceedings. Piscataway, NJ: IEEE. 123-131.
- Samouylov, K., I. Gudkova, E. Markova, and N. Yarkina. 2016. Queuing model with unreliable servers for limit power policy within Licensed Shared Access framework. Internet of things, smart spaces, and next generation networks and systems. Eds. O. Galinina, S. Balankin, Y. Koucheryavy. Lecture notes in computer science ser. Springer. 9870:404-413.
- Galinina, O., S. D. Andreev, M. Gerasimenko, Y. A. Koucheryavy, N. Himayat, S.-P. Yeh, and S. Talwar. 2014. Capturing spatial randomness of heterogeneous cellular/WLAN deployments with dynamic traffic. IEEE J. Sel. Area. Comm. 32(6):1083—1099.
- Ahmadian, A., O. Galinina, I. Gudkova, S. Andreev, S. Shorgin, and K. Samouylov. 2014. On capturing spatial diversity of joint M2M/H2H dynamic uplink transmissions in 3GPP LTE cellular system. Internet of things, smart spaces, and next generation networks and systems. Eds. S. Balandin, S. Andreev, Y. Koucheryavy. Lecture notes in computer science ser. Springer. 9247:407—421.
- Samouylov, K., I. Gudkova, E. Markova, and I. Dzantiev 2016. On analyzing the blocking probability of M2M transmissions for a CQI-based RRM scheme model in 3GPP LTE. Comm. Com. Inf. Sci. 638:327—340.
- Gudkova, I., E. Markova, P. Masek, S. Andreev, J. Hosek, N. Yarkina, K. Samouylov, and Y. Koucheryavy. 2016. Modeling the utilization of a multitenant band in 3GPP LTE system with Licensed Shared Access. 8th Congress (International) on Ultra Modern Telecommunications and Control Systems and Workshops Proceedings. Piscataway, NJ: IEEE. 179-183.
[+] About this article
Title
PROBABILITY MODEL FOR ANALYZING LICENSED SHARED ACCESS WITH ADAPTIVE POWER CONTROL IN A WIRELESS NETWORK
Journal
Informatics and Applications
2017, Volume 11, Issue 3, pp 90-98
Cover Date
2017-09-30
DOI
10.14357/19922264170310
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
wireless network; smart city; machine-to-machine (M2M); licensed shared access (LSA); adaptive power control; stochastic process; recursive algorithm; blocking probability; interruption probability; average number of M2M devices
Authors
I. A. Gudkova , and S. Ya. Shorgin
Author Affiliations
Peoples’ Friendship University of Russia, 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
|