Abstract
Signal-to-Interference Ratio(SIR) is a very important metric of communication link quality. For wireless cellular systems, several control mechanisms, such as power control mechanisms, rate control mechanisms, and allocation of radio resource, are based on SIR estimation. In previous researches, most of researchers concentrated on WCDMA systems, in which pilot symbol is time-multiplexed with data symbol; the method developed in this case is not feasible for cdma2000 systems where pilot symbol is code-multiplexed with data symbol. This paper first develops the SIR estimators based on the reverse pilot channel and then derives the approximate analytic expression for its Mean Squared Error (MSE) function, the accuracy of which is validated through simulation. It is shown that the MSE of the new SIR estimator is significantly smaller than that of other widely used SIR estimators, especially in low SIR case. Finally, the estimate quality of the proposed method is further improved by long-termly averaging the sample interference.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
A. J. Viterbi, CDMA: Principles of Spreads Spectrum Communication, Reading, Massachusetts, Addison-Wesley, 1995, 113–116.
S. Ariyavisitakul, SIR-based power control in a CDMA system, in Proc. IEEE Global Telecommunications Conf., Orlando, Florida, USA, Dec. 6–9, 1992, 868–873.
P. Bender, P. Black, M. Grob, R. Padovani, et al., CDMA/HDR: A bandwidth-efficient high-speed wireless data service for nomadic users, IEEE Commun. Mag., 38(2000)7, 70–77.
D. Ramakrishna, N. B. Mandayam, R. D. Yates, Subspace-based SIR estimation for CDMA cellular systems, IEEE Trans. on Veh. Technol., 49(2000)5, 1732–1742.
D. Ramakrishna, N. B. Mandayam, R. D. Yates, Subspace based estimation of the signal to interference ratio for CDMA cellular systems, in Proc. IEEE Veh. Technol. Conf., Phoenix, AZ, USA, May 4–7, 1997, 735–739.
Chih-Wei Wang, Li-Chun Wang, Signal to interference ratio measurement techniques for CDMA cellular systems in a frequency-selective multipath fading channel, in Third Signal Processing Workshop on Signal Processing Advances in Wireless Communications, IEEE, Taoyuan, TaiWan, March 20–23, 2001, 34–37.
D. R. Jeske, A. Sampath, Signal-to-interference ratio estimation based on decision feedback, in Proc. IEEE Veh. Technol. Conf., Rhodes, Greece, May 6–9, 2001, 2484–2488.
A. Sampath, D. R. Jeske, Analysis of signal-to-interference ratio estimation methods for wireless communication systems, in Proc. ICC, Helsinki, Finland, June 11–14, 2001, 2499–2503.
3GPP2, C.S0002-A_v5.0, http://www.3gpp2.org, Sept. 2000.
Sirikiat Ariyavisitakul, Signal and interference statistics of a CDMA system with feedback power control-part II’, IEEE Trans. on Comm., 42(1994)2/3/4, 597–605.
Simon Haykin, Adaptive Filter Theory, Third Edition, Prehtice-Hall, Englewood cliffs, N.J., 1996, 174–188.
Daoben Li, Statistical Detection of Signal and Estimation Theory, Beijing, China, Beijing University of Posts and Telecommunications Press, 1993, 205–210, (in Chinese).
Zhenghua Ma, Probability Theory and Statistic Processes, Beijing, China, Tsinghua University Press, 1999, 78–81, (in Chinese).
D. Das, M. K. Varanasi, Stochastic power control with averaging, in Proc, IEEE intl. Conf. on Personal Wireless Communications (ICPWC’00), Hyderabad, India, Dec. 17–20, 2000, 325–329.
P. Akula, T. M. Duman, Stochastic power control with bit estimation and base station processing, in Proc. ICC, Vol.3, New York, USA, April 28–May 2, 2000, 1616–1620.
Author information
Authors and Affiliations
About this article
Cite this article
Zhou, H., Yang, D. Traffic channel SIR estimation based on reverse pilot channel in cdma2000. J. of Electron.(China) 21, 278–288 (2004). https://doi.org/10.1007/BF02687883
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02687883