Improvement of LTE Downlink Channel Estimation Performance by Using an Adaptive Pilot Pattern

• Autorzy: Youssefi M. A. , Abbadi J. E.
• Języki publikacji: EN

Abstrakty

EN

This paper proposes an adaptive pilot pattern to improve channel estimation performance for LTE downlink system with high mobility. The downlink pilot positions are predefined in the time and frequency domain with fixed pilot pattern in LTE standard. However, that pilot structure is not efficient in a fast time varying channel, and leads to a decrease of channel estimation performance. The authors propose and evaluate the performance of LTE downlink channel estimation using an adaptive pilot scheme to optimally use pilot tones over time varying channels. It is shown that only seven bits of additional wide-band feedback per frame and per user are required to optimally support adaptive pilot pattern. Simulation results show that the proposed method allows high performance in terms of throughput and channel estimation error. This analysis shows that LTE downlink throughput could be increased over 4%.

Słowa kluczowe

EN

channel estimation; LTE; MIMO; OFDM; pilot pattern

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2015
• Tom: nr 2
• Strony: 59--63
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Youssefi M. A.

• Laboratoire d’Electronique et de Communications, Ecole Mohammadia d’Ing´enieurs, Universit´e Mohamed V de Rabat, Rabat Morocco

autor

Abbadi J. E.

• Laboratoire d’Electronique et de Communications, Ecole Mohammadia d’Ing´enieurs, Universit´e Mohamed V de Rabat, Rabat Morocco

Bibliografia

• [1] L. Hanzo, J. Akhtman, M. Jiang, and L. Wang, MIMO-OFDM for LTE, Wi-Fi and WiMAX. Wiely IEEE Press, 2010.
• [2] M. Engels, Wireless OFDM Systems. New York: Kluwer Academic Publishers, 2002.
• [3] A. R. S. Bahai and B. R. Saltzberg, Multi-Carrier Digital Communications: Theory and Applications of OFDM. New York: Kluwer Academic Publishers, 2002.
• [4] C. Lim and D. Han, “Robust LS channel estimation with phase rotation for single frequency network in OFDM”, IEEE Trans. Consumer Electron., vol. 52, pp. 1173-1178, 2006.
• [5] S. Galih, T. Adiono, and A. Kurniawan, “Low complexity MMSE channel estimation by weight matrix elements sampling for downlink OFDMA mobile WiMAX system”, Int. J. Comp. Sci. Netw. Secur. (IJCSNS), vol. 528, pp. 1173–1178, 2010.
• [6] A. Baynast, A. Sabharwal, and B. Aazhang, “Analysis of decision-feedback based broadband OFDM systems”, in Proc. Asilomar Conf. on Sig., Syst., and Comp. ACSSC 2005, Pacific Grove, CA, USA, 2005, pp. 692–696.
• [7] E. K. Hlel, S. Cherif, F. Tlili, and M. Siala, “Improved estimation of time varying and frequency selective channel for OFDM systems”, in Proc. 15th IEEE Int. Conf. Elec., Circ. Syst. ICECS 2008, St. Julian’s, Malta, 2008, vol. 1, pp. 11–77.
• [8] “Physical Channels and Modulation”, 3rd Generation Partnership Project, Technical Specification Group Radio Access Network, Evolved Universal Terrestrial Radio Access (E-UTRA), TS 36.211, V8.8.0, 2009.
• [9] P. Hoeher, S. Kaiser, and P. Robertson, “Pilot-Symbol-Aided Channel Estimation in Time and Frequency”, in Multi-Carrier Spread-Spectrum, K. Fazel and G. P. Fettweis, Eds. Norwell: Kluwer Academic Publishers, 1997, pp. 169–178.
• [10] Y. Li, L. Cimini, and N. Sollenberger, “Robust channel estimation for OFDM systems with rapid dispersive fading channels”, IEEE Trans. Commun., vol. 46, no. 7, pp. 902–915, 1998.
• [11] A. Youssefi and J. El abbadi, “Pilot design optimization using modified differential evolution algorithm in SISO and MIMO OFDM systems”, J. Basic Appl. Scient. Res., part V, 2012.
• [12] P. Fertl and G. Matz, “Channel estimation in wireless OFDM systems with irregular pilot distribution”, IEEE Trans. Sig. Proces., vol. 58, no. 6, pp. 3180–3194, 2010.
• [13] Z. Tang and G. Leus, “Time-multiplexed training for time selective channels”, IEEE Sig. Process. Lett., vol. 14, no. 9, pp. 585–588, 2007.
• [14] Z. A. Polgar, V. Bota, and M. Varga, “Modeling the Rayleigh-faded Mobile Radio Channel”, Acta Technica Napocensis-Electronics and Telecommunications, vol. 47, 2006.
• [15] T. Ali-Yahiya, Understanding LTE and its Performance. Springer, 2011.