Open AccessPerformance analysis of multi‐antenna selection policies using the golden code in multiple‐input multiple‐output systems
Author(s) -
Ge Lu,
Chen Gaojie,
Gong Yu,
Chambers Jonathon
Publication year - 2014
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.2013.0686
Subject(s) - computer science , pairwise error probability , mimo , antenna (radio) , selection (genetic algorithm) , code (set theory) , transmission (telecommunications) , pairwise comparison , antenna array , telecommunications , electronic engineering , algorithm , beamforming , artificial intelligence , set (abstract data type) , programming language , engineering
In multiple‐input multiple‐output (MIMO) systems, multiple‐antenna selection has been proposed as a practical scheme for improving the signal transmission quality as well as reducing realisation cost because of minimising the number of radio‐frequency chains. In this study, the authors investigate transmit antenna selection for MIMO systems with the Golden Code. Two antenna selection schemes are considered: max‐min and max‐sum approaches. The outage and pairwise error probability performance of the proposed approaches are analysed. Simulations are also given to verify the analysis. The results show the proposed methods provide useful schemes for antenna selection.