Minimum Sum-Mean-Square-Error Frequency-Domain Pre-Coding for Downlink Multi-User MIMO System in the Frequency-Selective Fading Channel

Yu, Qiyue; Guo, Ji-Chong; Gao, Shuying; Meng, Weixiao; Wang, Xiang

doi:10.1109/twc.2017.2684808

Cited by 9 publications

(4 citation statements)

References 47 publications

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“…Moreover, to further verify the NPHE scheme, we calculated the similarity degree R-square [19], the sum of squares due to error (SSE) [20] and root mean squared error (RMSE) [21] for the original and estimated OQAM-OFDM signal, which is demonstrated in Table 1. Here, ∼65535 OQAM-OFDM symbols are employed, and 1000 bins is configured for the NPHE scheme.…”

Section: Simulation and Results Analysismentioning

confidence: 99%

Performance Optimization by Nonparametric Histogram Estimation for Low Resolution in IMDD-OQAM-OFDM System

Huang

Liu

et al. 2018

IEEE Photonics J.

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In this paper, for the first time, we propose a nonparametric histogram estimation (NPHE) scheme for the nonuniform quantization in intensity modulated direct detection with filter bank multicarrier signal to improve system performance. By combining the NPHE scheme and the common nonlinear programming method, the distribution of offset quadrature amplitude modulation based optical orthogonal frequency division multiplexing (OQAM-OFDM) signal is accurately estimated and then it is used to achieve the optimal nonuniform quantization level. In this way, the low-level signal can achieve much more effective digitalizing bits, thereby significantly reducing the quantization noise. The numerical simulation and experiment with 10-Gb/s 16-order OQAM-OFDM signal over 20 km fiber are conducted to further verify the feasibility of our scheme. The results show that our scheme always outperforms the uniform quantization and Gaussian-like nonuniform schemes in terms of the signal to quantization noise ratio, error-vector-magnitudes, and bit error rate. Compared to the conventional method, our scheme also achieves received sensitivity improvement thereby improving the system power budget. So, it can support the low-bit resolution transmission in intensity modulated direct detection-based OQAM-OFDM system.

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Section: Simulation and Results Analysismentioning

confidence: 99%

Performance Optimization by Nonparametric Histogram Estimation for Low Resolution in IMDD-OQAM-OFDM System

Huang

Liu

et al. 2018

IEEE Photonics J.

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“…With the same research objective, another method is to add a digital signal processing module to the receiving terminal, assisted by a performance optimization algorithm, which can also improve the receiving performance. In MIMO communication systems, conventional performance optimization algorithms include the maximum ratio combining algorithm [32], the uniform combining algorithm [33], and the minimum mean square error combining algorithm [34]. This type of algorithm makes full use of the channel gain differences between different antennas.…”

Section: Channel Expansion and Performance Optimizationmentioning

confidence: 99%

A Microwave Photonic 2 × 2 IBFD–MIMO Communication System with Narrowband Self-Interference Cancellation

Ma,

Shi,

Fan

2024

Micromachines

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Combined in-band full duplex-multiple input multiple output (IBFD–MIMO) technology can significantly improve spectrum efficiency and data throughput, and has broad application prospects in communications, radar, the Internet of Things (IoT), and other fields. Targeting the self-interference (SI) issue in microwave photonic-based IBFD–MIMO communication systems, a microwave photonic self-interference cancellation (SIC) method applied to the narrowband 2 × 2 IBFD–MIMO communication system was proposed, simulated, and analyzed. An interleaver was used to construct a polarization multiplexing dual optical frequency comb with a frequency shifting effect, generating a dual-channel reference interference signal. The programmable spectrum processor was employed for filtering, attenuation, and phase-shifting operations, ensuring amplitude and phase matching to eliminate the two self-interference (SI) signals. The simulation results show that the single-frequency SIC depth exceeds 45.8 dB, and the narrowband SIC depth under 30 MHz bandwidth exceeds 32.7 dB. After SIC, the desired signal, employing a 4QAM modulation format, can be demodulated with an error vector magnitude (EVM) as low as 4.7%. Additionally, further channel expansion and system performance optimization are prospected.

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“…At the transmitter end, signal processing begins with the conversion of information from analog to digital form. This digital data undergoes source coding through Huffman and Shannon-Fano coding to minimize redundancy, followed by channel coding for error control [10]. Precoding schemes are also integrated at the MIMO transmitter to facilitate data transfer over wireless channels.…”

Section: Introductionmentioning

confidence: 99%

Signal Processing Algorithms for Mean Square Error Analysis in MIMO Wireless Transceivers

Premkumar,

Rajakumar,

Subraja

2023

ISI

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Signal processing algorithms are crucial for the integrity of information transfer in wireless transceivers, with mean square error (MSE) serving as a pivotal metric for performance assessment. In multiple input multiple output (MIMO) systems, the transmission chain is susceptible to errors regardless of the antenna count, necessitating robust error analysis. This research article presents an evaluation of MSE in the context of MIMO wireless transceivers, focusing on data transmission at physical layer level. Signal processing algorithms, including least squares (LS), minimum mean square error (MMSE), and maximum likelihood (ML) algorithms, are analyzed for their efficacy in mean square error quantification, offering valuable insights for future research. A comprehensive analysis is conducted using training signals to ascertain the MSE, with simulations performed in MATLAB environment. Comparative results demonstrate that MMSE and ML algorithms outperform LS in reducing MSE, attributable to their reliance on probabilistic density functions (PDFs). The findings underscore the potential in error assessment and can aid emerging 5G and 6G wireless systems, which are predicated on advanced technologies such as massive MIMO and millimeter-wave communications. These results may pave the way for further research into optimizing signal fidelity in next-generation wireless communication systems.

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Minimum Sum-Mean-Square-Error Frequency-Domain Pre-Coding for Downlink Multi-User MIMO System in the Frequency-Selective Fading Channel

Cited by 9 publications

References 47 publications

Performance Optimization by Nonparametric Histogram Estimation for Low Resolution in IMDD-OQAM-OFDM System

Performance Optimization by Nonparametric Histogram Estimation for Low Resolution in IMDD-OQAM-OFDM System

A Microwave Photonic 2 × 2 IBFD–MIMO Communication System with Narrowband Self-Interference Cancellation

Signal Processing Algorithms for Mean Square Error Analysis in MIMO Wireless Transceivers

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