Skip to main content
Erschienen in:

06.06.2024

Iterative Time-Varying Channel Prediction Based on the Vector Prony Method

verfasst von: Yi Huang, Haiquan Wang, Haifan Yin, Zhijin Zhao

Erschienen in: Wireless Personal Communications | Ausgabe 1/2024

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper proposes channel prediction algorithms, based on the vector Prony method, tackling the channel state information (CSI) acquisition problem in fast time-varying uplink and downlink channels of the time division duplex (TDD) in massive multiple-input, multiple-output (MIMO) systems. For the uplink system, we show that the CSI obeys the Prony equation in theory, and we aim to overcome the instability of solving the Prony equation via iterating the Prony coefficients based on CSI re-estimated from signals received during data transmission. For the downlink system, a method to generate precoders is constructed based on the prediction of downlink CSI. Experiments are performed according to the fast fading full-dimensional multiple-input multiple-output (FD-MIMO) channel model of 3GPP Standards. The results demonstrate that performance is improved remarkably in uplink transmissions and approaches the theoretical optimal scheme in downlink transmissions.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Shaik, N., Malik, P. K. (2022). 5G massive MIMO-OFDM system model: Existing channel estimation algorithms and its review. In Smart antennas. EAI/Springer innovations in communication and computing (Springer). Shaik, N., Malik, P. K. (2022). 5G massive MIMO-OFDM system model: Existing channel estimation algorithms and its review. In Smart antennas. EAI/Springer innovations in communication and computing (Springer).
2.
Zurück zum Zitat Duel-Hallen, A., Hu, S., & Hallen, H. (2000). Long-range prediction of fading signals: Enabling adaptive transmission for mobile radio channels. Special issue on advances in wireless and mobile communications. IEEE Signal Processing Magazine, 17(3), 62–75.CrossRef Duel-Hallen, A., Hu, S., & Hallen, H. (2000). Long-range prediction of fading signals: Enabling adaptive transmission for mobile radio channels. Special issue on advances in wireless and mobile communications. IEEE Signal Processing Magazine, 17(3), 62–75.CrossRef
3.
Zurück zum Zitat Duel-Hallen, A. (2007). Fading channel prediction for mobile radio adaptive transmission systems (invited paper). Proceedings of The IEEE, 95(12), 2299–2313.CrossRef Duel-Hallen, A. (2007). Fading channel prediction for mobile radio adaptive transmission systems (invited paper). Proceedings of The IEEE, 95(12), 2299–2313.CrossRef
4.
Zurück zum Zitat Heidari, A., Khandani, A. K., & McAvoy, D. (2010). Adaptive modeling and long-range prediction of mobile fading channels. IET Communications, 4(1), 39–50.CrossRef Heidari, A., Khandani, A. K., & McAvoy, D. (2010). Adaptive modeling and long-range prediction of mobile fading channels. IET Communications, 4(1), 39–50.CrossRef
5.
Zurück zum Zitat Chen, M., & Viberg, M. (2009). Long-range channel prediction based on nonstationary parametric modeling. IEEE Transactions on Signal Process, 57(2), 622–634.MathSciNetCrossRef Chen, M., & Viberg, M. (2009). Long-range channel prediction based on nonstationary parametric modeling. IEEE Transactions on Signal Process, 57(2), 622–634.MathSciNetCrossRef
6.
Zurück zum Zitat Truong, K. T., & Heath, R. W. (2013). Effects of channel aging in massive MIMO systems. Journal of Communications and Networks, 15(4), 338–351.CrossRef Truong, K. T., & Heath, R. W. (2013). Effects of channel aging in massive MIMO systems. Journal of Communications and Networks, 15(4), 338–351.CrossRef
7.
Zurück zum Zitat Papazafeiropoulos, A. K., & Ratnarajah, T. (2015). Deterministic equivalent performance analysis of time-varying massive MIMO systems. IEEE Transactions on Wireless Communications, 14(10), 5795–5809.CrossRef Papazafeiropoulos, A. K., & Ratnarajah, T. (2015). Deterministic equivalent performance analysis of time-varying massive MIMO systems. IEEE Transactions on Wireless Communications, 14(10), 5795–5809.CrossRef
8.
Zurück zum Zitat Kong, C., Zhong, C., Papazafeiropoulos, A. K., Matthaiou, M., & Zhang, Z. (2015). Sum-rate and power scaling of massive MIMO systems with channel aging. IEEE Transactions on Communications, 63(12), 4877–4893.CrossRef Kong, C., Zhong, C., Papazafeiropoulos, A. K., Matthaiou, M., & Zhang, Z. (2015). Sum-rate and power scaling of massive MIMO systems with channel aging. IEEE Transactions on Communications, 63(12), 4877–4893.CrossRef
9.
Zurück zum Zitat Adeogun, R. O., Teal, P. D., & Dmochowski, P. A. (2015). Extrapolation of MIMO mobile-to-mobile wireless channels using parametric-model-based prediction. IEEE Transactions on Vechicular Technology, 64(10), 4487–4498.CrossRef Adeogun, R. O., Teal, P. D., & Dmochowski, P. A. (2015). Extrapolation of MIMO mobile-to-mobile wireless channels using parametric-model-based prediction. IEEE Transactions on Vechicular Technology, 64(10), 4487–4498.CrossRef
10.
Zurück zum Zitat Fu, L., Wang, Q., Huang, Y., & Yang, L. (2016). Performance analysis of low-complexity channel prediction for uplink massive MIMO. IET Communications, 10(14), 1744–1751.CrossRef Fu, L., Wang, Q., Huang, Y., & Yang, L. (2016). Performance analysis of low-complexity channel prediction for uplink massive MIMO. IET Communications, 10(14), 1744–1751.CrossRef
11.
Zurück zum Zitat Peng, W., & Jiang, M. T. (2017). Channel prediction in time-varying massive MIMO environments. IEEE Access, 5, 23938–23946.CrossRef Peng, W., & Jiang, M. T. (2017). Channel prediction in time-varying massive MIMO environments. IEEE Access, 5, 23938–23946.CrossRef
12.
Zurück zum Zitat Derevianko, N., & Plonka, G. (2021) Exact reconstruction of extended exponential sums using rational approximation of their Fourier coefficients. arXiv preprint arXiv:2103.07743 Derevianko, N., & Plonka, G. (2021) Exact reconstruction of extended exponential sums using rational approximation of their Fourier coefficients. arXiv preprint arXiv:​2103.​07743
13.
Zurück zum Zitat Yin, H., Wang, H., Liu, Y., & Gesbert, D. (2020). Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions. IEEE Journal of Selected Areas in Communications, 38, 2903–2917.CrossRef Yin, H., Wang, H., Liu, Y., & Gesbert, D. (2020). Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions. IEEE Journal of Selected Areas in Communications, 38, 2903–2917.CrossRef
14.
Zurück zum Zitat Technical Specification Group Radio Access Network; Study on 3D channel model for LTE (release 12), document TR 36.873 V12.7.0, 3rd Generation Partnership Project (2017) Technical Specification Group Radio Access Network; Study on 3D channel model for LTE (release 12), document TR 36.873 V12.7.0, 3rd Generation Partnership Project (2017)
15.
Zurück zum Zitat Hou, X., & Kayama, H. (2011). Demodulation reference signal design and channel estimation for LTE-advanced uplink. In M. Almeida (Ed.), Advances in vehicular networking technologies. IntechOpen. Hou, X., & Kayama, H. (2011). Demodulation reference signal design and channel estimation for LTE-advanced uplink. In M. Almeida (Ed.), Advances in vehicular networking technologies. IntechOpen.
Metadaten
Titel
Iterative Time-Varying Channel Prediction Based on the Vector Prony Method
verfasst von
Yi Huang
Haiquan Wang
Haifan Yin
Zhijin Zhao
Publikationsdatum
06.06.2024
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2024
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-024-11162-8