Open AccessErgodic capacity of antenna selection aided massive multi‐user MIMO systems with imperfect CSI in correlated time‐varying channels
Author(s) -
Zhang Peichang,
Xu Jiajun,
Huang Lei,
Zhao Bo,
Zhong Shida
Publication year - 2020
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.2019.0561
Subject(s) - mimo , computer science , channel (broadcasting) , spatial correlation , channel state information , antenna (radio) , ergodic theory , base station , kronecker delta , estimator , multi user mimo , control theory (sociology) , precoding , channel capacity , algorithm , topology (electrical circuits) , telecommunications , mathematics , statistics , wireless , physics , mathematical analysis , control (management) , quantum mechanics , combinatorics , artificial intelligence
In this study, the authors address antenna selection (AS)‐aided massive multi‐user multiple‐input‐multiple‐output (MU‐MIMO) system based on maximum signal‐to‐noise ratio, where imperfect channel state information (CSI), time‐varying channel and antenna spatial correlation are considered. More explicitly, a computationally simple training‐based channel estimator is firstly employed for obtaining the imperfect down‐link CSI. Channel quantisation (CQ) is subsequently introduced by the feedback link which is used for feeding back so‐obtained CSI to base station. Time varying coefficient is utilised to characterise channel time variety and antenna spatial correlation is modelled by Kronecker model. Furthermore, the authors derive closed‐form ergodic channel capacity of the AS‐aided MU‐MIMO system with channel estimation error, CQ error and delay feedback, which has not yet been addressed in the state‐of‐the‐art approaches. Simulation results are provided to demonstrate the tightness of their theoretical computations of the ergodic channel capacity.