Fast mobile broadband is becoming a reality. It is estimated that almost 3.4 billion people will have broadband by 2014 (about 80 percent will be mobile broadband subscribers). LTE is one of the lastest technology for delevering services to those huge amount of subscribers. This project focuses on the channel estimation for uplink of the UMTS LTE where single carrier-frequency division multiple access (SC-FDMA) technique is utilized as multiple access air interfaces. Based on working assumptions of 3GPP, this project estimates and predicts time-varying nature (Doppler effects) of the channel for the UMTS LTE (uplink) by different low-complexity methods. The channel estimation is done in both the temporal-and-frequency-domain. The estimation of channel in frequency-domain is based on Interpolation method, Least Square (LS) method and Wiener filtering or Linear Minimum Mean Square Error (LMMSE) method. The estimation of channel in temporal-domain is done using linear Interpolation. The performance of all these schemes are compared by measuring bit-error-rate (BER) for different signal-to-noise ratio (SNR) with QAM-16 modulation on Rayleigh fading channel based on Jakes’ model.
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ATM Shafiul Alam, PhD Student: Communication and Systems Department at the Open University, UKDr Sandra Dudley-Mcevoy, Senior Lecturer: Faculty of Engineering, Science and The Built Environment at London South Bank University, UK
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fast mobile broadband is becoming a reality. It is estimated that almost 3.4 billion people will have broadband by 2014 (about 80 percent will be mobile broadband subscribers). LTE is one of the lastest technology for delevering services to those huge amount of subscribers. This project focuses on the channel estimation for uplink of the UMTS LTE where single carrier-frequency division multiple access (SC-FDMA) technique is utilized as multiple access air interfaces. Based on working assumptions of 3GPP, this project estimates and predicts time-varying nature (Doppler effects) of the channel for the UMTS LTE (uplink) by different low-complexity methods. The channel estimation is done in both the temporal-and-frequency-domain. The estimation of channel in frequency-domain is based on Interpolation method, Least Square (LS) method and Wiener filtering or Linear Minimum Mean Square Error (LMMSE) method. The estimation of channel in temporal-domain is done using linear Interpolation. The performance of all these schemes are compared by measuring bit-error-rate (BER) for different signal-to-noise ratio (SNR) with QAM-16 modulation on Rayleigh fading channel based on Jakes model. 96 pp. Englisch. Bestandsnummer des Verkäufers 9783845408767
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fast mobile broadband is becoming a reality. It is estimated that almost 3.4 billion people will have broadband by 2014 (about 80 percent will be mobile broadband subscribers). LTE is one of the lastest technology for delevering services to those huge amount of subscribers. This project focuses on the channel estimation for uplink of the UMTS LTE where single carrier-frequency division multiple access (SC-FDMA) technique is utilized as multiple access air interfaces. Based on working assumptions of 3GPP, this project estimates and predicts time-varying nature (Doppler effects) of the channel for the UMTS LTE (uplink) by different low-complexity methods. The channel estimation is done in both the temporal-and-frequency-domain. The estimation of channel in frequency-domain is based on Interpolation method, Least Square (LS) method and Wiener filtering or Linear Minimum Mean Square Error (LMMSE) method. The estimation of channel in temporal-domain is done using linear Interpolation. The performance of all these schemes are compared by measuring bit-error-rate (BER) for different signal-to-noise ratio (SNR) with QAM-16 modulation on Rayleigh fading channel based on Jakes model. Bestandsnummer des Verkäufers 9783845408767
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alam ATM ShafiulATM Shafiul Alam, PhD Student: Communication and Systems Department at the Open University, UKDr Sandra Dudley-Mcevoy, Senior Lecturer: Faculty of Engineering, Science and The Built Environment at London South Bank Un. Bestandsnummer des Verkäufers 5480940
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Fast mobile broadband is becoming a reality. It is estimated that almost 3.4 billion people will have broadband by 2014 (about 80 percent will be mobile broadband subscribers). LTE is one of the lastest technology for delevering services to those huge amount of subscribers. This project focuses on the channel estimation for uplink of the UMTS LTE where single carrier-frequency division multiple access (SC-FDMA) technique is utilized as multiple access air interfaces. Based on working assumptions of 3GPP, this project estimates and predicts time-varying nature (Doppler effects) of the channel for the UMTS LTE (uplink) by different low-complexity methods. The channel estimation is done in both the temporal-and-frequency-domain. The estimation of channel in frequency-domain is based on Interpolation method, Least Square (LS) method and Wiener filtering or Linear Minimum Mean Square Error (LMMSE) method. The estimation of channel in temporal-domain is done using linear Interpolation. The performance of all these schemes are compared by measuring bit-error-rate (BER) for different signal-to-noise ratio (SNR) with QAM-16 modulation on Rayleigh fading channel based on Jakes' model.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Bestandsnummer des Verkäufers 9783845408767
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Taschenbuch. Zustand: Neu. LTE Mobile Communication Systems | Channel Estimation for Uplink | Atm Shafiul Alam (u. a.) | Taschenbuch | 96 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845408767 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106808341
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