Abstract
The throughput requirement of advanced MIMO-OFDM systems increases extremely in recent years. The complexity of traditional tone-by-tone QR decomposition raises along with FFT-point and MIMO dimension, and thus becomes the bottleneck of hardware implementation. The interpolation-based QR decomposition (IQRD) algorithm has been proved that it has lower complexity compared to traditional tone-by-tone QR decomposition algorithm. In this thesis, a reduced-complexity interpolation-based QR decomposition (RC-IQRD) is proposed to decrease the complexity of original IQRD. Moreover, a low-complexity mapping scheme, called as partial layer-mapping (PLM) scheme, is adopted in RC-IQRD algorithm to further reduce the complexity. For the RC-IQRD algorithm, the corresponding architecture is proposed as well. Besides, we present a scaling scheme to solve the dynamic-range problem in IQRD algorithm. Nevertheless, the proposed architecture can use multiple hardwares easily to achieve higher throughput. The proposed architecture is implemented by 90nm UMC CMOS technology and Faraday cell library. According to post-layout results, the proposed architecture can achieve 45.6MQRD/s with single QR decomposition unit, and the maximum throughput can be up to 182.4MQRD/s.