Hybrid orthogonal and non-orthogonal pilot distribution based channel estimation in massive MIMO system

doi:10.21629/JSEE.2018.05.01

Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (5): 881-898.doi: 10.21629/JSEE.2018.05.01

• Electronics Technology • Next Articles

Hybrid orthogonal and non-orthogonal pilot distribution based channel estimation in massive MIMO system

Ruoyu ZHANG(), Honglin ZHAO*(), Jiayan ZHANG(), Shaobo JIA()

Communication Research Center, Harbin Institute of Technology, Harbin 150001, China

Received:2017-05-27 Online:2018-10-26 Published:2018-11-14
Contact: Honglin ZHAO E-mail:hitzhangruoyu@163.com;hlzhao@hit.edu.cn;jyzhang@hit.edu.cn;jiashaobo2007@126.com
About author:ZHANG Ruoyu was born in 1992. He received his B.S. degree in communication engineering from Harbin Institute of Technology, Harbin. He is currently pursuing his Ph.D. degree in electrical engineering. His research interests include compressed sensing, channel estimation, massive MIMO system. E-mail: hitzhangruoyu@163.com|ZHAO Honglin was born in 1969. He received his B.E., M.E., and Ph.D. degrees in communication engineering from Harbin Institute of Technology, Harbin, China, in 1991, 1994, and 1998, respectively. He is currently a professor with the Communication Research Center, School of Electronics and Information Engineering, Harbin Institute of Technology. His research interests include spread spectrum communication, cognitive radio networks and wireless broadband networks. E-mail: hlzhao@hit.edu.cn|ZHANG Jiayan was born in 1974. He received his Ph.D. degree in communication engineering from Harbin Institute of Technology, Harbin, China, in 2008. He is currently an associate professor with the Communication Research Center, School of Electronics and Information Engineering, Harbin Institute of Technology. His research interests include spread spectrum communication, high speed signal processing and channel coding. E-mail: jyzhang@hit.edu.cn|JIA Shaobo was born in 1988. He received his B.S. and M.E. degrees from the Harbin Engineering University, Harbin, China, in 2011, 2014, respectively. He is currently pursuing his Ph.D. degree in Harbin Institute of Technology. His research interests lie in the physical layer security, cooperative communications, and cognitive radio networks. E-mail: jiashaobo2007@126.com
Supported by:
the National Natural Science Foundation of China(61671176);the National Natural Science Foundation of China(61671173);the Fundamental Research Funds for the Center Universities(HIT.MKSTISP.2016 13);This work was supported by the National Natural Science Foundation of China (61671176; 61671173) and the Fundamental Research Funds for the Center Universities (HIT.MKSTISP.2016 13)

Abstract

Abstract:

How to obtain accurate channel state information (CSI) at the transmitter with less pilot overhead for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system is a challenging issue due to the large number of antennas. To reduce the overwhelming pilot overhead, a hybrid orthogonal and non-orthogonal pilot distribution at the base station (BS), which is a generalization of the existing pilot distribution scheme, is proposed by exploiting the common sparsity of channel due to the compact antenna arrangement. Then the block sparsity for antennas with hybrid pilot distribution is derived respectively and can be used to obtain channel impulse response. By employing the theoretical analysis of block sparse recovery, the total coherence criterion is proposed to optimize the sensing matrix composed by orthogonal pilots. Due to the huge complexity of optimal pilot acquisition, a genetic algorithm based pilot allocation (GAPA) algorithm is proposed to acquire optimal pilot distribution locations with fast convergence. Furthermore, the Cramer Rao lower bound is derived for non-orthogonal pilot-based channel estimation and can be asymptotically approached by the prior support set, especially when the optimized pilot is employed.

Key words: massive multiple-input multiple-output (MIMO), frequency division duplexing (FDD), compressed sensing, hybrid pilot distribution, genetic algorithm based pilot allocation (GAPA)

Ruoyu ZHANG, Honglin ZHAO, Jiayan ZHANG, Shaobo JIA. Hybrid orthogonal and non-orthogonal pilot distribution based channel estimation in massive MIMO system[J]. Journal of Systems Engineering and Electronics, 2018, 29(5): 881-898.

Figures/Tables 11

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Hybrid orthogonal and non-orthogonal pilot distribution based channel estimation in massive MIMO system

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