Alocação de recursos em redes LTE utilizando bandas não-licenciadas

  • Henrique V. Lima UFG
  • Elivelton F. Bueno Fundação Getúlio Vargas
  • Kleber V. Cardoso UFG

Abstract


Long Term Evolution (LTE) in unlicensed bands (U-LTE) has emerged as a promising solution to address the growth of mobile data traffic. U-LTE extends the benefits of LTE with unused portions of the unlicensed 5 GHz spectrum, which is primarily used by Wi-Fi users. However, uncertainty about the availability of bandwidth makes the adoption of U-LTE a challenging new task for operators. In this work, we propose a stochastic programming approach for the allocation of U-LTE resources to expand bandwidth and coverage while controlling the risk of conflict with Wi-Fi demand. Three models from the literature for this demand are used in our computational experiments. The results show the importance of prior knowledge about the distribution of Wi-Fi demand.

References

Abdel-Rahman, M. J., AbdelRaheem, M., MacKenzie, A., Cardoso, K., and Krunz, M. (2016). On the orchestration of robust virtual lte-u networks from hybrid half/fullduplex wi- aps. In 2016 IEEE Wireless Communications and Networking Conference, pages 1–6.

Abhayawardhana, V. S., Wassell, I. J., Crosby, D., Sellars, M. P., and Brown, M. G. (2005). Comparison of empirical propagation path loss models for xed wireless access systems. In 2005 IEEE 61st Vehicular Technology Conference, volume 1, pages 73–77 Vol. 1.

Al-Dulaimi, A., Al-Rubaye, S., Ni, Q., and Sousa, E. (2015). 5g communications race: Pursuit of more capacity triggers lte in unlicensed band. IEEE Vehicular Technology Magazine, 10(1):43–51.

Benítez, López, M. and Casadevall, F. (2012). Spectrum Usage Models for the Analysis, Design and Simulation of Cognitive Radio Networks, pages 27–73. Springer Netherlands, Dordrecht.

Cano, C. and Leith, D. J. (2015). Coexistence of wi and lte in unlicensed bands: A proportional fair allocation scheme. In 2015 IEEE International Conference on Communication Workshop (ICCW), pages 2288–2293.

Cavalcante, A. M., Almeida, E., Vieira, R. D., Choudhury, S., Tuomaala, E., Doppler, K., Chaves, F., Paiva, R. C. D., and Abinader, F. (2013). Performance evaluation of lte and wi- coexistence in unlicensed bands. In 2013 IEEE 77th Vehicular Technology Conference (VTC Spring), pages 1–6.

Charnes, A. and Cooper, W. W. (1959). Chance-constrained programming. Management Science, 6(1):73–79.

Charnes, A. and Cooper, W. W. (1963). Deterministic equivalents for optimizing and satiscing under chance constraints. Operations Research, 11(1):18–39.

Chen, Q., Yu, G., and Ding, Z. (2016). Optimizing unlicensed spectrum sharing for lte-u and wi network coexistence. IEEE Journal on Selected Areas in Communications, 34(10):2562–2574.

Cisco Systems, Inc. (2017). Cisco Visual Networking Index: Global Mobile Data Trafc Forecast Update, 2016–2021 White Paper.

Dahlman, E., Parkvall, S., Sköld, J., and Beming, P. (2007). 3G evolution: HSPA and LTE for mobile broadband.

Hazas, M., Morley, J., Bates, O., and Friday, A. (2016). Are there limits to growth in data trafc?: On time use, data generation and speed. In Proceedings of the Second Workshop on Computing Within Limits, LIMITS ’16, pages 14:1–14:5, New York, NY, USA. ACM.

Hosking, J. R. and Wallis, J. R. (1987). Parameter and quantile estimation for the generalized pareto distribution. Technometrics, 29(3):339–349.

Ko, H., Lee, J., and Pack, S. (2016). A fair listen-before-talk algorithm for coexistence of lte-u and wlan. IEEE Transactions on Vehicular Technology, 65(12):10116–10120.

Lino, F. and Carvalho, O. (2008). Caracterização da Distribuição de Weibull em Ambientes Indoor. Dissertação (Mestrado prossional em Gestão de redes Telecomunicações) – Pós-Graduação em Engenharia Elétrica, Centro de Ciências Exatas, Ambientais e de Tecnologias, Pontifícia Universidade Católica de Campinas, Campinas.

Magazine, M. J. and Chern, M. (1984). A note on approximation schemes for multidimensional knapsack problems. Mathematics of Operations Research, 9(2):244–247.

Nwamadi, O. (2011). Dynamic physical resource block allocation algorithms for uplink long term evolution. IET Communications, 5:1020–1027(7).

Osseiran, A., Boccardi, F., Braun, V., Kusume, K., Marsch, P., Maternia, M., Queseth, O., Schellmann, M., Schotten, H., Taoka, H., Tullberg, H., Uusitalo, M. A., Timus, B., and Fallgren, M. (2014). Scenarios for 5g mobile and wireless communications: the vision of the metis project. IEEE Communications Magazine, 52(5):26–35.

Qualcomm (2016). MulteFire: LTE-like performance with Wi-Fi-like deployment simplicity. https://www.qualcomm.com/invention/technologies/lte/multefire. [ Último acesso em: 12/08/2017].

Ratasuk, R., Mangalvedhe, N., and Ghosh, A. (2014). Lte in unlicensed spectrum using In 2014 IEEE Globecom Workshops (GC Wkshps), pages licensed-assisted access. 746–751.

Sagari, S., Baysting, S., Saha, D., Seskar, I., Trappe, W., and Raychaudhuri, D. (2015). Coordinated dynamic spectrum management of lte-u and wi- networks. In 2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), pages 209–220.

Stoyan, D. and Stoyan, H. (1985). On one of matérn’s hard-core point process models. Mathematische Nachrichten, 122(1):205–214.

Wellens, M. (2010). Empirical modelling of spectrum use and evaluation of adaptive spectrum sensing in dynamic spectrum access networks. PhD thesis, Aachen. Zsfassung in dt. u. engl. Sprache; Aachen, Techn. Hochsch.,Diss., 2010.

Zhao, Q., Ren, W., and Swami, A. (2007). Spectrum opportunity detection: How good is listen-before-talk? In 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, pages 767–771.
Published
2018-05-10
LIMA, Henrique V.; BUENO, Elivelton F.; CARDOSO, Kleber V.. Alocação de recursos em redes LTE utilizando bandas não-licenciadas. In: BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 36. , 2018, Campos do Jordão. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . p. 796-809. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc.2018.2459.

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