JOURNAL ARTICLE

Optimal pilot design in massive MIMO systems based on channel estimation

Shanjin NiJunhui ZhaoYi Gong

Year: 2016 Journal:   IET Communications Vol: 11 (7)Pages: 975-984   Publisher: Institution of Engineering and Technology

Abstract

The performance of multicell massive multiple‐input multiple‐output (MIMO) systems is heavily affected by pilot contamination. This study considers the problem of pilot contamination and analytical expressions are presented on the normalised mean square error (NMSE) of the minimum mean square error channel estimation algorithm. Based on the NMSE of the massive MIMO systems, a pilot design criterion is proposed to design the optimal pilot sequences for mitigating the pilot contamination. Following this criterion, Chu sequence with perfect auto‐correction and cross‐correlation properties are employed to design the optimal pilot sequences. Then the performance of the proposed pilot design‐based scheme is investigated, and the exact NMSE expressions are presented. The excellent performance of this pilot design scheme has been confirmed in the authors’ simulations.

Keywords:
MIMO Computer science Channel (broadcasting) Estimation Control theory (sociology) Mathematical optimization Telecommunications Mathematics Artificial intelligence Engineering Systems engineering

Metrics

46
Cited By
4.31
FWCI (Field Weighted Citation Impact)
42
Refs
0.96
Citation Normalized Percentile
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Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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