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We propose a fast and near-optimal approach to joint channel-estimation, equalization, and decoding of coded single-carrier (SC) transmissions over frequency-selective channels with few-bit analog-to-digital converters (ADCs). Our approach…

Information Theory · Computer Science 2019-01-30 Peng Sun , Zhongyong Wang , Robert W. Heath , Philip Schniter

Compressed sensing typically deals with the estimation of a system input from its noise-corrupted linear measurements, where the number of measurements is smaller than the number of input components. The performance of the estimation…

Information Theory · Computer Science 2016-11-17 Jin Tan , Danielle Carmon , Dror Baron

This paper considers channel estimation and uplink achievable rate of the coarsely quantized massive multiple-input multiple-output (MIMO) system with radio frequency (RF) impairments. We utilize additive quantization noise model (AQNM) and…

Signal Processing · Electrical Eng. & Systems 2019-02-01 Liangyuan Xu , Xintong Lu , Shi Jin , Feifei Gao , Yongxu Zhu

To decrease the training overhead and improve the channel estimation accuracy in uplink cloud radio access networks (C-RANs), a superimposed-segment training design is proposed. The core idea of the proposal is that each mobile station…

Information Theory · Computer Science 2015-06-23 Xinqian Xie , Mugen Peng , H. Vincent Poor

In this paper, a novel robust beamforming scheme is proposed in three dimensional multi-input multi-output (3D-MIMO) systems. As one of the typical deployments of massive MIMO, a 3D-MIMO system owns sparse channels in angular domain. Thus,…

Signal Processing · Electrical Eng. & Systems 2018-12-19 Kai Liu , Hui Feng , Tao Yang , Bo Hu

In large-scale antenna systems, using one-bit analog-to-digital converters (ADCs) has recently become important since they offer significant reductions in both power and cost. However, in contrast to high-resolution ADCs, the coarse…

Information Theory · Computer Science 2022-07-19 In-soo Kim , Namyoon Lee , Junil Choi

We propose a novel system identification technique, based on a least-mean square algorithm, allowing for the estimation of a linear channel by using an unknown-response measurement channel. The key of the technique is a memoryless nonlinear…

Signal Processing · Electrical Eng. & Systems 2021-10-18 Juan I. Bonetti , James Kunst , Damián A. Morero , Mario R. Hueda

Current cellular systems use pilot-aided statistical-channel state information (S-CSI) estimation and limited feedback schemes to aid in link adaptation and scheduling decisions. However, in the presence of pulsed radar signals, pilot-aided…

Signal Processing · Electrical Eng. & Systems 2020-08-07 Raghunandan M. Rao , Vuk Marojevic , Jeffrey H. Reed

We consider the joint estimation of multipath channels obtained with a set of receiving antennas and uniformly probed in the frequency domain. This scenario fits most of the modern outdoor communication protocols for mobile access or…

Systems and Control · Computer Science 2012-04-23 Y. Barbotin , M. Vetterli

In recent years, there is a growing need for processing methods aimed at extracting useful information from large datasets. In many cases the challenge is to discover a low-dimensional structure in the data, often concealed by the existence…

Statistics Theory · Mathematics 2019-06-05 Yariv Aizenbud , Boris Landa , Yoel Shkolnisky

Due to the limited number of traditional orthogonal pilots, pilot collision will severely degrade the performance of contention-based grant-free transmission. To alleviate the pilot collision and exploit the spatial degree of freedom as…

Information Theory · Computer Science 2021-06-09 Zhifeng Yuan , Zhigang Li , Weimin Li , Yihua Ma

Two-channel modulo analog-to-digital converters (ADCs) enable high-dynamic-range signal sensing at the Nyquist rate per channel, but existing designs quantise both channel outputs independently, incurring redundant bitrate costs. This paper…

Signal Processing · Electrical Eng. & Systems 2026-01-21 Wenyi Yan , Zeyuan Li , Lu Gan , Honqing Liu , Guoquan Li

This work considers detecting the presence of a band-limited random radio source using an antenna array featuring a low-complexity digitization process with single-bit output resolution. In contrast to high-resolution analog-to-digital…

Information Theory · Computer Science 2018-02-21 Manuel S. Stein

Recent advances in neural networks have led to significant computational and memory demands, spurring interest in one-bit weight compression to enable efficient inference on resource-constrained devices. However, the theoretical…

Machine Learning · Computer Science 2025-10-21 Danil Akhtiamov , Reza Ghane , Babak Hassibi

Spectral efficiency for asynchronous code division multiple access (CDMA) with random spreading is calculated in the large system limit allowing for arbitrary chip waveforms and frequency-flat fading. Signal to interference and noise ratios…

Information Theory · Computer Science 2010-07-13 Laura Cottatellucci , Ralf R. Mueller , Merouane Debbah

High data rates require vast bandwidths, that can be found in the sub-THz band, and high sampling frequencies, which are predicted to lead to a problematically high analog-to-digital converter (ADC) power consumption. It was proposed to use…

Signal Processing · Electrical Eng. & Systems 2023-09-13 Florian Gast , Stephan Zeitz , Meik Dörpinghaus , Gerhard P. Fettweis

Leveraging recent results in finite-blocklength information theory, we investigate the problem of designing a control channel in a 5G system. The setup involves the transmission, under stringent latency and reliability constraints, of a…

Information Theory · Computer Science 2018-02-02 Guido Carlo Ferrante , Johan Östman , Giuseppe Durisi , Kittipong Kittichokechai

We consider a joint multiple-antenna radar-communications system in a co-existence scenario. Contrary to conventional applications, wherein at least the radar waveform and communications channel are known or estimated \textit{a priori}, we…

Information Theory · Computer Science 2022-06-13 Roman Jacome , Kumar Vijay Mishra , Edwin Vargas , Brian M. Sadler , Henry Arguello

This work is devoted to the study of the influence of quantization noise on the spectral characteristics of a digital signal and the assessment of spectrum measurement errors that arise due to the quantization noise of an analog-to-digital…

Signal Processing · Electrical Eng. & Systems 2023-07-04 Anzhelika Stakhova

Oversampling combined with low quantization resolutions has been shown to be a viable option when aiming for energy efficiency in multigigabit/s communications systems. This work considers the case of 1-bit quantization combined with…

Information Theory · Computer Science 2016-04-14 Tim Hälsig , Lukas Landau , Gerhard Fettweis
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