A Study on Channel Estimation Methods for 5G Massive Antenna MDMA Cellular System

• Main Authors: Lin, Chia-Hao, 林迦豪
• Other Authors: Huang, Chia-Chi
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/8f4745

碩士 === 國立交通大學 === 電信工程研究所 === 105 === With the ever-changing nature of telecommunication technologies, the fifth generation (5G) mobile communication standards will be finalized by 2020. Currently, both the academia and industry are dedicated to the development of possible solutions that meet the challenging demands of the 5G communication systems. In response to this, we research on one of the possible techniques known as the massive antenna multipath division multiple access (MDMA) cellular system. In this thesis, methods for improving channel estimation under this mobile radio communication system are investigated. Two methods for reducing channel estimation error are proposed by exloring channel characteristics from two different aspects. One is the application of the Kalman filter with temporal channel correlations. The other one is the majority-vote-aided path selection with similar multipath channel delay information over receiver antennas. Simulation results are given and discussed on the performance of these two methods.