Pilot contamination reduction in TDD-based massive MIMO systems

Zhao, Junhui1,2; Ni, Shanjin1; Gong, Yi3; Zhang, Qingmiao2

2019-06-25

10.1049/iet-com.2018.5557

IET Communications   影响因子和分区

1751-8628

1751-8636

Channel estimation in time division duplexing (TDD)-based massive multiple-input multiple-output (MIMO) systems is heavily hampered by the pilot contamination, which constitutes a major bottleneck on the overall system performance. This study considers the pilot contamination problem in multi-cell TDD-based massive MIMO systems, and analytical expressions are presented on the normalised mean square error (NMSE) of the minimum mean square error channel estimation algorithm. Based on the obtained NMSE, this study proposes an optimal pilot assignment strategy to minimise the effect of pilot contamination. In order to further improve the system performance, a pilot design-based channel estimation scheme is proposed, where Chu sequences with perfect auto-correlation property are employed to design the optimal pilot sequences aiming at acquiring the accurate channel state information. Simulation results show that the proposed pilot assignment strategy outperforms the random pilot assignment method, and approaches to the performance of the exhaustive search method which requires high computational complexity. Moreover, the performance gain of the pilot design-based channel estimation scheme is verified in massive MIMO systems.

channel estimation time division multiplexing MIMO communication computational complexity least mean squares methods pilot design-based channel estimation scheme pilot contamination reduction pilot contamination problem multicell TDD-based massive MIMO systems normalised mean square error optimal pilot assignment strategy optimal pilot sequences accurate channel state information random pilot assignment method time division duplexing massive multiple-input multiple-output systems minimum square error channel estimation algorithm Chu sequences perfect auto-correlation property exhaustive search method

SCI ; EI

英语

其他

Shenzhen Science and Technology Programme[JCYJ20170817110410346]

Engineering

Engineering, Electrical & Electronic

WOS:000471758400012

INST ENGINEERING TECHNOLOGY-IET

20192807164747

Channel state information ; Contamination ; Mean square error ; MIMO systems ; Time division multiplexing

Mathematical Statistics:922.2

Web of Science

1.Beijing Jiaotong Univ, Sch Elect & Informat Engn, 3 Shangyuancun, Beijing, Peoples R China
2.East China Jiaotong Univ, Sch Informat Engn, Nanchang, Jiangxi, Peoples R China
3.Southern Univ Sci & Technol, Dept Elect & Elect Engn, 1088 Xueyuan Rd, Shenzhen, Peoples R China

Zhao, Junhui,Ni, Shanjin,Gong, Yi,et al. Pilot contamination reduction in TDD-based massive MIMO systems[J]. IET Communications,2019,13(10):1425-1432.

Zhao, Junhui,Ni, Shanjin,Gong, Yi,&Zhang, Qingmiao.(2019).Pilot contamination reduction in TDD-based massive MIMO systems.IET Communications,13(10),1425-1432.

Zhao, Junhui,et al."Pilot contamination reduction in TDD-based massive MIMO systems".IET Communications 13.10(2019):1425-1432.