Achievable diversity limits in a quantized MIMO-OFDM linear pre-coded system

Botha, Philip R.; Louw, Daniel J.; Maharaj, B. T.

doi:10.1109/iswpc.2010.5483806

Cited by 2 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accurate CR estimation methods can be further investigated in the future. Second, the quantized precoding has been applied to MIMO-OFDM precoding system in [26], [27], in which three to five bits were still required to achieve the optimal performance for the QPSK modulation. The proposed lattice-reductionaided precoding with the modified CR method will be a potential technique to reduce the quantized bits and implementation cost for high-order QAM modulations.…”

Section: Discussionmentioning

confidence: 99%

Low-Latency Lattice-Reduction-Aided One-Bit Precoding Processor for 64-QAM 4×64 MU–MIMO Systems

Chen

Huang

2021

IEEE Open J. Circuits Syst.

View full text Add to dashboard Cite

Massive multi-user multiple-input multiple-output (MU-MIMO) communication is a crucial technique for next-generation wireless systems because it enables high-throughput and ultra-reliable data transmission. However, high power consumption is a challenging problem in conventional transceiver designs, where each RF chain at the transmitter requires a pair of high-resolution digital-to-analog converters (DACs), which are the primary power sources in front-end circuits. Therefore, quantized precoding algorithms were recently proposed to address this issue. They used low-resolution DACs at the transmitter and compensated for the distortion caused by the quantization effect at the baseband. This paper proposes a constellation-range gain-controlled lattice-reduction-aided (CR-GCLRA) one-bit precoding algorithm for massive MU-MIMO systems with high-order quadrature amplitude modulation (QAM) signaling. Lattice reduction (LR) preprocessing is adopted for performance enhancement. A novel gain-control mechanism is proposed to address the constellation range expansion problem in conventional LR preprocessing. We designed and implemented a CR-GCLRA one-bit precoding processor by using TSMC 40-nm CMOS technology to accelerate the one-bit precoding processing for 64-QAM 4 × 64 MU-MIMO system. The proposed one-bit precoding processor can achieve a throughput of 43.92 Mbits per second at a clock speed of 269 MHz with 271 mW power consumption and 0.51μs latency.

show abstract

Section: Discussionmentioning

confidence: 99%

Low-Latency Lattice-Reduction-Aided One-Bit Precoding Processor for 64-QAM 4×64 MU–MIMO Systems

Chen

Huang

2021

IEEE Open J. Circuits Syst.

View full text Add to dashboard Cite

show abstract

“…The pre-decoding scheme based on the dual-carrier modulation greatly simplifies the system complexity [5], but it reduces the spectral efficiency of the system. The STF coding methods based on narrowband are researched in [6,7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of MMSE-Based Anti-Interference Performance for MIMO-UWB Systems

Yan

Wang

Guo

et al. 2013

AMM

View full text Add to dashboard Cite

The combinations of MIMO (Multiple-Input-Multiple-Output) and UWB (Ultra-Wide-Band) systems greatly improve the performance of the UWB system. For the MIMO-UWB system, a new decoding scheme is proposed based on the STF (Space-Time-Frequency) coding and it can reduce the decoding complexity. The simulation results show that under the same SNR, the new method can obtain better performance of the bit error rate than the traditional ML decoding method.

show abstract

Achievable diversity limits in a quantized MIMO-OFDM linear pre-coded system

Cited by 2 publications

References 20 publications

Low-Latency Lattice-Reduction-Aided One-Bit Precoding Processor for 64-QAM 4×64 MU–MIMO Systems

Low-Latency Lattice-Reduction-Aided One-Bit Precoding Processor for 64-QAM 4×64 MU–MIMO Systems

Analysis of MMSE-Based Anti-Interference Performance for MIMO-UWB Systems

Contact Info

Product

Resources

About