PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A Novel Traffic Prediction Scheme for Broadband Satellite Communications System

Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Nowa metoda prognozowania przepływu danych w szerokopasmowym satelitarnym systemie komunikacyjnym
Języki publikacji
EN
Abstrakty
EN
Multi-user traffic prediction is an important issue in broadband satellite communications system. In view of multiple UTs (User Terminal) which are treated by a single ST (Satellite Terminal), a novel NMF-based (Nonnegative Matrix Factorization-based) multi-user traffic prediction method is proposed. Compared with previous prediction schemes, the new method can reduce computational complexity and remain comparable prediction accuracy. Simulation results based on real traffic data testify the validity of the proposed method.
PL
Przedstawiono metodę prognozowania przesyłu danych w satelitarnym szerokopasmowym systemie komunikacyjnym. Nowa metoda traktuje każdego z wielu użytkowników sieci jako pojedynczy terminal satelitarny.
Rocznik
Strony
141--145
Opis fizyczny
Bibliogr. 14 poz., tab., schem.
Twórcy
autor
autor
  • Institute of Communication Engineering, PLA Univ. of Sci. & Tech.
Bibliografia
  • [1] Markos P. Anastasopoulos, Dionysia K. Petraki, et al., Call Admission Control Scheme for Multiclass Services under Rain Fading for Satellite Networks, IEEE Transaction on Wireless communications, 8 (2009), No. 5, 2473-2483
  • [2] Secchi R, Barsocchi P, Davoli F, Linear quadratic control of service rate allocation in a satellite network, Communications, IET, 4 (2010), No. 13, 1580-1593
  • [3] Yueqiu J, Hang L, Study on Bandwidth Allocation of Broadband Multimedia Communication Satellite System, 3rd International Conference on Intelligent Networks and Intelligent Systems, (2010) ,506-508
  • [4] Delli Priscoli F, Pompili D, A demand-assignment algorithm based on a Markov modulated chain prediction model for satellite bandwidth allocation, Wirel. Netw., 15 (2009), 999-1012
  • [5] Johnson E L, Sivalingam K M, Mishra M, Scheduling in Optical WDM Networks Using Hidden Markov Chain Based Traffic Prediction, Photonic Network Communications, 3 (2001), 269-283
  • [6] Kirchgssner G W J, Introduction to modern time series analysis, Springer, (2008)
  • [7] Yantai S, Zhigang J, Lianfang Z, et al., Traffic prediction using FARIMA models, IEEE International Conference on Communications, (1999), 891-895
  • [8] Satsri S, Ardhan S, Chutchavong V, et al., ANN based NGN IP traffic prediction in Thailand, International Conference on Control, Automation and Systems, (2007), 2154-2157
  • [9] LI R, CHEN J, LIU Y, et al., WPANFIS: combine fuzzy neural network with multiresolution for network traffic prediction, The Journal of China Universities of Posts and Telecommunications, 17 (2010), No. 4, 88-93
  • [10] Gao B, Zhang Q, Liang Y, et al., Predicting self-similar networking traffic based on EMD and ARMA, Journal on Communications, 32 (2011), No. 04, 47-56 (in Chinese)
  • [11] GAO Qian, LI Guang-xia, A Traffic Prediction Method based on ANN and Adaptive Template Matching. This paper has been submitted to Przegląd Elektrotechniczny with paper ID: PE2257
  • [12] Lee D D, Seung H S, Learning the parts of objects by nonnegative matrix factorization, Nature, 401 (1999), No. 6755, 788-791
  • [13] Daniel D. Lee, H. Sebastian Seung, Algorithms for Nonnegative Matrix Factorization, Advances in Neural Information Processing Systems, Proceedings of the 2000 Conference. 556–562
  • [14] Tuomas V, Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria, IEEE Transactions on Audio, Speech, and Language Processing, 15 (2007), No. 3, 1066-1074
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOK-0037-0034
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.