Autors: Dandanov, N. G., Tonchev K., Poulkov, V. K., Koleva, P. H.
Title: Evaluation of channel estimation algorithms using practically measured channels in FDD massive MIMO
Keywords: Channel estimation; Compressive sensing; Frequency-division duplexing; Massive Mimo; Practical channels

Abstract: An important problem for massive multiple-input multiple-output (MIMO) systems operating with frequency-division duplexing (FDD) is to accurately estimate the channel response with low pilot signal overhead. Most existing algorithms for efficient channel estimation are based on compressive sensing (CS) and assume sparse structure of the channel vector. Relying on it, they try to minimize estimation error and reduce the number of required pilot signals. Utilizing real-world channel responses, we evaluate the performance of 11 state-of-the-art channel estimation algorithms for FDD massive MIMO systems. Results from simulation experiments with channel measurements for carrier frequency in the 2.4 GHz and 5 GHz bands for three environments and two levels of mobility are presented. Channel structures of theoretical and practically measured channels are compared and it is shown that the latter does not follow a specific sparse structure which leads to a significant increase in estimation..

References

    Issue

    in Proceedings of International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures (FABULOUS), Sofia, Bulgaria, 28-29 March 2019; Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 283, pp. 228-242, 2019, Switzerland, Springer, DOI 10.1007/978-3-030-23976-3_21

    Copyright ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science