Differential Deep Detection in Massive MIMO With One-Bit ADC
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Abstract (arXiv)
This article presents a differential detection scheme for the uplink of a massive MIMO system that employs one-bit quantizers on each receive antenna. We focus on the detection of differential amplitude and phase shift keying symbols and we use the Bussgang theorem to express the quantized received signal in terms of quantized signals received during previous channel uses. Subsequently, we derive the maximum likelihood detector for the differentially encoded amplitude and phase information symbols. We note that while the one-bit detector can decode the differentially encoded phase information symbols, it fails to decode the differentially encoded amplitude information. To decode the amplitude information, we present a one-bit variable quantization level (VQL) system and train a deep neural network to perform two-symbol differential amplitude detection. Through Monte-Carlo simulations, we empirically validate the performance of the proposed amplitude and phase detectors. The presented numerical results show that the spectral efficiency attained in one-bit differential systems is better than the spectral efficiency attained in one-bit coherent systems
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References · 4
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2017An Introduction to Deep Learning for the Physical Layercited by 233
- 2020Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systemscited by 7
- 2020The Bussgang Decomposition of Non-Linear Systems: Basic Theory and MIMO Extensionscited by 6
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- 2026Data Detection for Massive MIMO Systems with 1-Bit Quantized Dithered Linear Precoding
- 2023An Efficient Global Algorithm for One-Bit Maximum-Likelihood MIMO Detection ↗
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- 2021Uplink Data Detection Analysis of 1-Bit Quantized Massive MIMO ↗
- 2023Enhanced Uplink Data Detection for Massive MIMO with 1-Bit ADCs: Analysis and Joint Detection