Downlink Training Overhead Reduction Technique for FDD Massive MIMO Systems

作者：Mayouche Abderrahmane; Metref Adel; Choi Junil^*

来源：IEEE Signal Processing Letters, 2018, 25(8): 1201-1205.

DOI：10.1109/LSP.2018.2847560

• Downlink channel estimation
• frequency division duplexing (FDD)
• massive multiple-input multiple-output (MIMO)
• spectral efficiency

In this letter, a novel minimum mean square error (MSE) based channel estimation framework is proposed to reduce the downlink channel training overhead in frequency division duplexing massive multiple-input multiple-output systems, where the overhead reduction is achieved through training only a subset of antennas and by exploiting the spatial correlation between the antennas at the base station. Closed-form expressions of the analytical MSE and the asymptotic MSE of the system are obtained. Furthermore, a perfect match between theoretical and simulation results is observed, where the channel training overhead can be reduced by half with an acceptable performance.

• 出版日期2018-8