Title :
MPDQ-based high-order QAM detection scheme for massive MIMO with low-precision quantization
Author :
Yu Zhang;Ling Huang;Jian Song
Author_Institution :
Department of Electronic Engineering, Tsinghua University Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, P. R. China
Abstract :
High-order quadrature amplitude modulation (QAM) signals typically requires high-precision ADC at the receiver for reliable detection. However, in massive multiple-input multiple-output (MIMO) systems, the power consumption and hardware cost can be unaffordable due to the high complexity of conventional signal detectors and the associated high-precision ADC required by each antenna. To solve this problem, this paper proposes a low-complex iterative detector based on message passing de-quantization (MPDQ), which can detect high-order QAM data with low-precision quantization. Compared with the conventional signal detectors, the proposed scheme substantially reduces the cost and complexity by matrix-vector multiplication. Simulation results demonstrate that the proposed algorithm with 7 bits quantization could achieve better bit error rate (BER) performance than MMSE with full precision system, thus saving 3 bits or more by comparison.
Keywords :
"MIMO","Quantization (signal)","Quadrature amplitude modulation","Complexity theory","Detectors","Mean square error methods","Detection algorithms"
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on
DOI :
10.1109/GlobalSIP.2015.7416930