Estimação de Probabilidade de Transbordo do Buffer em Redes OFDM-TDMA utilizando Cadeias de Markov e Curva de Serviço

Flávio Henrique Teles Vieira, Victor Hugo Teles Costa, Lee Luan Ling, Flávio Geraldo Coelho Rocha

Abstract


Este trabalho apresenta duas abordagens para estimação de probabilidade de transbordo do buffer em redes OFDM-TDMA. A primeira abordagem, se baseia em Cadeias de Markov e em Teoria de Filas para descrever o desempenho do enlace de transmissão em sistemas OFDM-TDMA. A segunda abordagem se baseia em curva de serviço e no conceito de Processo Envelope.  Mais especificamente, foi proposta uma equação para estimação de probabilidade de transbordo do buffer em sistemas OFDM-TDMA. Para tal, também deduziu-se uma equação para a curva de serviço de Sistemas OFDM-TDMA. Os resultados obtidos mostram que as estimativas de probabilidade de transbordo baseadas na curva de serviço do sistema se aproximam bem dos resultados da simulação e a complexidade computacional do cálculo necessário para obtê-los é significativamente reduzida em relação ao modelo baseado em Cadeias de Markov.

References


Prasad, R. Ofdm for Wireless Communications Systems. Artech House, 2004. (Artech House universal personal communications series).

IEEE. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specications. New York, NY, 2012.

IEEE. IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems. New York, NY, USA, 2004. 18

3GPP. Evolved Universal Terrestrial Radio Access (EUTRA) and Evolved Universal Terrestrial Radio Access Network (EUTRAN); Overall description. Valbonne, FR, 2013.

Tarokh, V. New Directions in Wireless Communications Research. Springer, 2009.

Niyato, D.; Hossain, E. Queueing analysis of ofdm/tdma systems. IEEE Global Telecommunications Conference, vol. 6, p. 5 pp. 37123716. December, 2005.

Rocha, F.G.C.; Santos, C.B.; Vieira, F.H.T. Trac Modeling in PLC Networks using a Markov Fluid Model with Autocorrelation Function Fitting. TEMA Trends in Applied and Computational Mathematics, vol. 12, no. 3, pp. 233243. 2011.

Bosman, J.W.; Van der Mei, R.D.; NunezQueija, R. A Fluid Model Analysis of Streaming Media in the Presence of Time-varying Bandwidth. 24th International Teletrac Congres, pp. 18. 2012.

Jui-Chi Chen; Wen-Shyen E. Chen. Call blocking probability and bandwidth utilization of OFDM subcarrier allocation in next-generation wireless networks. IEEE Communications Letters, vol. 10, no. 2, pp. 8284. February, 2006.

Wunder, G.; Chan Zhou. Queueing analysis for the OFDMA downlink: Throughput regions, delay and exponential backlog bounds. IEEE Transactions on Wireless Communications, vol. 8, no. 2, pp. 871881. February, 2009.

El Bouchti, A.; El Kafhali, S.; Haqiq, A. Queueing performance analysis of CAC scheme in OFDMA based WiMAX system. 3rd International Conference on Next Generation Networks and Services (NGNS), pp. 6267. December,

Paxson, V.; Floyd, S. Wide area trac: the failure of Poisson modeling. IEEE/ACM Transactions on Networking, vol. 3, no. 3, pp. 226244. June,

Vieira, F.H.T.; Lee, L.L. Adaptive wavelet-based multifractal model applied to the eective bandwidth estimation of network trac ows. IET Communications, vol. 3, pp. 906919. 2009.

Mayor, G.; Silvester, J. Time Scale Analysis of an ATM Queueing System With Long-Range Dependent Trac. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 205212. 1997.

Santos Junior, J.A.; Vieira, F.H.T. Algoritmo de Policiamento de Tráfego para Redes OFDM-TDMA WiMAX Baseado em Modelagem Multifractal e Cálculo de Rede. Escola de Engenharia Elétrica e de Computação Universidade Federal de Goiás. Goiânia, GO, BR. 2011.

Coleri, S.; Ergen, M.; Puri, A.; Bahai, A. Channel estimation techniques based on pilot arrangement in OFDM systems. IEEE Transactions on Broadcasting, vol. 48, no. 3, pp. 223229. September, 2002.

Xiaoxin Qiu; Chawla, K. On the performance of adaptive modulation in cellular systems. IEEE Transactions on Communications, vol. 47, no. 6, pp. 884895. June, 1999.

Leeuwaarden, J.; Squillante, M.; Winands, E. QuasiBirthAndDeath Processes, Lattice Path Counting, and Hypergeometric Functions. Journal of Applied Probability, vol. 46, no. 2, pp. 507520. June, 2009.

Papoulis, A.; Pillai, S.U. Probability, random variables, and stochastic processes. McGrawHill, 2002. (McGrawHill electrical and electronic engineering series).

WRL. The Internet Trac Archive: Hour-long Traces of Wide-Area Trac from Digital Equipment Corporation, by Western Research Lab. 1995. Available on: http://ita.ee.lbl.gov/html/contrib/DEC-PKT.html.

Ribeiro, V.J.; Riedi, R.H.; Crouse, M.S.; Baraniuk, R.G. Multiscale Queuing Analysis of Long-Range-Dependent Network Trac. Nineteenth Annual Joint Conference of the IEEE Computer and Communications' Societies, pp. 1026 1035. 2000.

ITA. Hour-long Traces of Wide-Area Trac. The Internet Trac Archive. Available on: http://ita.ee.lbl.gov/html/traces.html. Last visit: Aug. 2013.




DOI: https://doi.org/10.5540/tema.2016.017.01.0003

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Trends in Computational and Applied Mathematics

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