On the limits of communication with low-precision analog-to-digital conversion at the receiver

By Jaspreet Singh, Onkar Dabeer, Upamanyu Madhow. IEEE Transactions on Communications, 2009

370 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/19fd5ca0b6fee4847277e156a31212175a8d3ee7

How researchers see this paper

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In Biomedical Engineering

1. Jianhua Mo
2. Philip Schniter
3. Rui Zhang
4. Shuguang Cui
5. Pangan Ting
6. Chao-Kai Wen
7. Shi Jin
8. Christoph Studer

In Computational Mechanics

1. Shi Jin
2. Chao-Kai Wen
3. Robert W. Heath
4. Jianhua Mo
5. Philip Schniter
6. Rui Zhang
7. Shuguang Cui
8. Pangan Ting

In Electrical and Electronic Engineering

1. Robert W. Heath
2. Rui Zhang
3. Shi Jin
4. Chao-Kai Wen
5. Jianhua Mo
6. David Gesbert
7. Emil Björnson
8. Shuguang Cui

Citations in the corpus

• A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G (2023, background): “still maintaining one RF chain for each antenna element [49,50].”
• Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs (2015, background): “1 Such coarse quantization leads to the failure of all communication theories, as well as signal processing techniques dedicated to high-resolution quantization [6]–[9].”
• Uplink Achievable Rate for Massive MIMO Systems With Low-Resolution ADC (2015, background): “The capacity of 1-bit quantized MIMO was studied in [4], where the exact nonlinearity property of a quantizer is considered.”
• Near Maximum-Likelihood Detector and Channel Estimator for Uplink Multiuser Massive MIMO Systems With One-Bit ADCs (2015, background): “the severe threshold applied to the received signal. Using low-resolution ADCs for wireless communications has been investigated under various assumptions. It was shown in [9] for one-bit ADCs and in [10] for low-resolution (one to three bits) ADCs that the capacity maximizing transmit signals for s”
• Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information (2014, methodology): “We apply a numerical algorithm to obtain the capacity-achieving input distribution.”
• Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs (2016, background): “eband signals. The capacity of communication systems using few-bit ADCs has been investigated in the literature. The capacity of the quantized single-input single-output (SISO) channel was studied in [16]–[18]. The work [16] considered the multi-bit case and showed that the optimum input constellati”
• Throughput Analysis of Massive MIMO Uplink With Low-Resolution ADCs (2016, background): “In [15], it is proven that BPSK is capacity achieving over a real-valued nonfading single-input single-output (SISO) Gaussian channel.”