Virtually Antipodal Semidefinite Relaxation Based Massive MIMO Detection Algorithm and Architecture Design

碩士 === 國立清華大學 === 通訊工程研究所 === 106 === Massive multiple-input and multiple-output (MIMO) system have significant advantages in improving channel capacity by making higher use of spatial resources without increasing channel bandwidth and transmit power. It is believed to be a key techniques for 5G wir...

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Bibliographic Details
Main Authors: Wang, Jun-Lin, 王俊霖
Other Authors: Huang, Yuan-Hao
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/keu5zy
Description
Summary:碩士 === 國立清華大學 === 通訊工程研究所 === 106 === Massive multiple-input and multiple-output (MIMO) system have significant advantages in improving channel capacity by making higher use of spatial resources without increasing channel bandwidth and transmit power. It is believed to be a key techniques for 5G wireless systems; however, with so many antennas, implementation complexity becomes the major challenge in designing receiver. There are many low-complexity detectors proposed but most of them have only near-MMSE performance. TASER has near-ML performance, but its complexity is stll higher than those have near-MMSE performance. Also, it can use BPSK and QPSK modulation only. We propose a VA-SDR based TASER which can apply 16-QAM modulation. Also, we propose a lossy architecture for TASER. For a commonly used antenna setting, 128$ \times $8, the lossy architecture can reduce about $ \frac{5}{6} $ computational complexity of original TASER such that its computational complexity is less than most of near-MMSE detectors.