Full Dimension Distributed Massive MIMO Systems: Channel Estimation and BER Analysis

• Main Authors: Chang, Kai-Chieh, 張凱傑
• Other Authors: 蘇育德
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/pgdbz7

碩士 === 國立交通大學 === 電信工程研究所 === 104 === We investigate transform domain based estimators for both two-dimensional (2D) and three(full)-dimensional (3D) massive MIMO channels with single or multiple narrowband arriving clusters. The estimators take advantage of the channel's transform domain sparsity but require side information about the energy spectrum of the channel to determine the dominant channel rank and the associated subspace. Closed-form expressions which relate the dominant signal subspace support to the mean angle of arrival (AoA) and the corresponding angle spread (AS), which used to be estimated by iterative algorithms, are obtained. We analyze the mean squared error (MSE) of the estimators and the bit error rate (BER) performance of the corresponding (adaptive) zero-forcing and MMSE receiver in the presence of channel estimation error. We compare the MSE- and BER-minimizing channel estimators and study the associated rank distribution and performance. Optimal power allocation between pilot and data symbols is investigated and the resulting performance analyzed. Various numerical results are provided to examine behaviors of our channel estimators and related receivers and to validate the superiority of the proposed schemes. We show that the resulting receivers perform Rake-like combining in the spatial domain that automatically capture most of the energy of the desired signal while rejecting noise and interference from other directions.