Open AccessOptimal pilot design in massive MIMO systems based on channel estimation
Author(s) -
Ni Shanjin,
Zhao Junhui,
Gong Yi
Publication year - 2017
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2016.0889
Subject(s) - mimo , channel (broadcasting) , computer science , optimal design , mean squared error , scheme (mathematics) , mathematical optimization , control theory (sociology) , algorithm , sequence (biology) , mathematics , statistics , telecommunications , artificial intelligence , machine learning , mathematical analysis , control (management) , biology , genetics
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.