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The aim of the presented paper was to verify the impact of Dynamic PUCCH Resource Allocation Algorithm of the LTE cellular system on the maximum uplink cell throughput and call setup success rate - CSSR. Paper includes the laboratory testbed description and presents the results of an experiment confirming the improvement of both key performance indicators KPIs. Apart from the presentation of the Dynamic PUCCH Resource allocation algorithm, the paper also includes a description of legacy LTE uplink (PUCCH and PUSCH) channels dimensioning process thus filling the gap of such a tutorial in the available literature.
Rocznik
Tom
Strony
211--216
Opis fizyczny
Bibliogr. 18 poz., schem., tab., wykr.
Twórcy
autor
- Nokia Solutions and Networks, Kraków, Poland
autor
- AGH University of Science and Technology
autor
- AGH University of Science and Technology
autor
- AGH University of Science and Technology
Bibliografia
- [1] Ajay R. Mishra, Fundamentals of Network Planning and Optimization 2G/3G/4G: Evolution to 5G, John Wiley & Sons, 27 July 2018.
- [2] Xincheng Zhang, LTE Optimization Engineering Handbook, John Wiley & Sons, 4 Jan 2018, ch. 4.3, pp 144-152
- [3] Physical channels and modulation (Release 14), 3GPP TS 36.211 V14.9.0. 2018
- [4] Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol specification (Release 14), 3GPP TS 36.331 V14.12.0. 2019
- [5] Physical layer procedures (Release 14), 3GPP TS 36.213 V14.9.0 2018.
- [6] Evolved Universal Terrestrial Radio Access (E-UTRA); Medium Access Control (MAC) protocol specification (Release 14), 3GPP TS 36.321 V14.11.0. 2019
- [7] J. Brown and J. Y. Khan, "Predictive resource allocation in the LTE uplink for event based M2M applications," 2013 IEEE International Conference on Communications Workshops (ICC), Budapest, 2013, pp. 95-100.
- [8] J. Brown and J. Y. Khan, "A Predictive Resource Allocation Algorithm in the LTE Uplink for Event Based M2M Applications," in IEEE Transactions on Mobile Computing, vol. 14, no. 12, pp. 2433-2446, 1 Dec. 2015
- [9] S. H. O. Salih and M. M. A. Suliman, "Implementation of adaptive modulation and coding techniques using Matlab," Proceedings ELMAR2011, Zadar, 2011, pp. 137-139.
- [10] S. El Makhtari, M. Moussaoui and H. Samadi, "Performance evaluation of AMC turbo coded OFDM for 3GPP Long Term Evolution downlink system," 2012 International Conference on Multimedia Computing and Systems, Tangier, 2012, pp. 490-494.
- [11] S. Avallone, N. Pasquino, S. Zinno and D. Casillo, "Experimental characterization of lte adaptive modulation and coding scheme under actual operating conditions," 2017 IEEE International Workshop on Measurement and Networking (M&N), Naples, 2017, pp. 1-6.
- [12] R. Sandanalaksmi, K. Manivanan, S. Manikandan, R. Barathi and D. Devanathan, "Fair channel aware packet scheduling algorithm for fast UL HARQ in UTRAN LTE," 2009 International Conference on Control, Automation, Communication and Energy Conservation, Perundurai, Tamilnadu, 2009, pp. 1-5.
- [13] Y. Lin and G. Yue, "Channel-Adapted and Buffer-Aware Packet Scheduling in LTE Wireless Communication System," 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, Dalian, 2008, pp. 1-4.
- [14] Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2, 3GPP TS 36.300 V14.11.0. 2019
- [15] Srikant R., Ying Lei. 2013. “Communication Networks: An Optimization, Control, and Stochastic Networks Perspective”. Cambridge University Press.
- [16] Ericsson Mobility Report, November 2019
- [17] F. B. Mismar, J. Choi and B. L. Evans, "A Framework for Automated Cellular Network Tuning With Reinforcement Learning," in IEEE Transactions on Communications, vol. 67, no. 10, pp. 7152-7167, Oct. 2019. doi: 10.1109/TCOMM.2019.2926715
- [18] E. Aqeeli, A. Moubayed and A. Shami, "Dynamic SON-Enabled Location Management in LTE Networks," in IEEE Transactions on Mobile Computing, vol. 17, no. 7, pp. 1511-1523, 1 July 2018. doi: 10.1109/TMC.2017.2775221
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-06b1fc4c-8975-4967-bf06-5d4f224ba610