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Identifying wireless modulation schemes is essential for cognitive radio, but standard supervised models often degrade under distribution shift, and training domain-specific wireless foundation models from scratch is computationally…

Machine Learning · Computer Science 2026-03-30 Mohammad Rostami , Atik Faysal , Reihaneh Gh. Roshan , Huaxia Wang , Nikhil Muralidhar , Yu-Dong Yao

This paper looks into the technology classification problem for a distributed wireless spectrum sensing network. First, a new data-driven model for Automatic Modulation Classification (AMC) based on long short term memory (LSTM) is…

Networking and Internet Architecture · Computer Science 2018-07-12 Sreeraj Rajendran , Wannes Meert , Domenico Giustiniano , Vincent Lenders , Sofie Pollin

Massive multiple-input multiple-output (MIMO) systems are strong candidates for future fifth generation (5G) heterogeneous cellular networks. For 5G, a network densification with a high number of different classes of users and data service…

Information Theory · Computer Science 2016-11-18 L. Arevalo , R. C. de Lamare , M. Haardt , R. Sampaio-Neto

This letter revisits the channel estimation problem for MIMO systems with one-bit analog-to-digital converters (ADCs) through a novel algorithm--Amplitude Retrieval (AR). Unlike the state-of-the-art methods such as those based on one-bit…

Signal Processing · Electrical Eng. & Systems 2020-01-08 Cheng Qian , Xiao Fu , Nicholas D. Sidiropoulos

In this paper, we propose a two-stage analog combining architecture for millimeter wave (mmWave) communications with hybrid analog/digital beamforming and low-resolution analog-to-digital converters (ADCs). We first derive a two-stage…

Information Theory · Computer Science 2018-12-04 Jinseok Choi , Gilwon Lee , Brian L. Evans

In this work, we present a solution for coordinated beamforming and power allocation when base stations employ a massive number of antennas equipped with low-resolution analog-to-digital and digital-to-analog converters. We address total…

Information Theory · Computer Science 2021-03-09 Yunseong Cho , Jinseok Choi , Brian L. Evans

This paper addresses a data detection problem for multiple-input multiple-output (MIMO) communication systems with hardware impairments. To facilitate maximum likelihood (ML) data detection without knowledge of nonlinear and unknown…

Signal Processing · Electrical Eng. & Systems 2024-12-10 Yujin Kang , Seunghyun Jeon , Junyong Shin , Yo-Seb Jeon , H. Vincent Poor

The next generation of wireless communications systems will employ new frequency bands such as those in the upper midband, millimeter-wave and sub-terahertz frequency bands. The high energy consumption of analog-to-digital converters…

Information Theory · Computer Science 2025-05-27 D. Melo , L. Landau , R. de Lamare

We propose a novel low-resolution-aware recursive least squares channel estimation algorithm for uplink multi-user multiple-input multiple-output systems. In order to reduce the energy consumption, 1-bit ADCs are used on each receive…

Information Theory · Computer Science 2018-02-06 Z. Shao , L. Landau , R. de Lamare

Orthogonal delay-Doppler division multiplexing (ODDM) modulation offers a promising solution to the problem of severe Doppler effects in low earth orbit (LEO) satellites communications. It has been suggested in the recent literature that…

Information Theory · Computer Science 2025-07-31 Yu Liu , Cunhua Pan , Tantao Gong , Yinlu Wang , Ming Chen

The fundamental limits of communication over multiple-input multiple-output (MIMO) networks are considered when a limited number of one-bit analog to digital converters (ADC) are used at the receiver terminals. Prior works have mainly…

Information Theory · Computer Science 2019-02-04 Abbas Khalili , Farhad Shirani , Elza Erkip , Yonina C. Eldar

In this letter, we develop an $\ell_2$-box maximum likelihood (ML) formulation for massive multiple-input multiple-output (MIMO) quadrature amplitude modulation (QAM) signal detection and customize an alternating direction method of…

Information Theory · Computer Science 2022-08-30 Jiangtao Wang , Quan Zhang , Yongchao Wang

In this paper, symbol-by-symbol maximum likelihood (ML) detection is proposed for a cooperative diffusion-based molecular communication (MC) system. In this system, a fusion center (FC) chooses the transmitter's symbol that is more likely,…

Information Theory · Computer Science 2018-09-06 Yuting Fang , Adam Noel , Nan Yang , Andrew W. Eckford , Rodney A. Kennedy

Utilizing low-resolution analog-to-digital converters (ADCs) in uplink massive multiple-input multiple-output (MIMO) systems is a practical solution to decrease power consumption. The performance gap between the low and high-resolution…

Information Theory · Computer Science 2023-10-05 Gökhan Yılmaz , Ali Özgür Yılmaz

Extremely low-resolution (e.g. one-bit) analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) can substantially reduce hardware cost and power consumption for MIMO radar especially with large scale antennas. In this…

Signal Processing · Electrical Eng. & Systems 2022-06-22 Minglong Deng , Ziyang Cheng , Linlong Wu , Bhavani Shankar , Zishu He

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

In a growing number of applications, there is a need to digitize signals whose spectral characteristics are challenging for traditional Analog-to-Digital Converters (ADCs). Examples, among others, include systems where the ADC must acquire…

Signal Processing · Electrical Eng. & Systems 2022-10-12 Amir Weiss , Everest Huang , Or Ordentlich , Gregory W. Wornell

In this paper, we investigate hybrid analog/digital beamforming for multiple-input multiple-output (MIMO) systems with low-resolution analog-to-digital converters (ADCs) for millimeter wave (mmWave) communications. In the receiver, we…

Information Theory · Computer Science 2019-05-01 Jinseok Choi , Gilwon Lee , Brian L. Evans

Index modulation (IM) reduces the power consumption and hardware cost of the multiple-input multiple-output (MIMO) system by activating part of the antennas for data transmission. However, IM significantly increases the complexity of the…

Information Theory · Computer Science 2021-12-03 Chenwu Zhang , Hancheng Lu , Jinxue Liu

In this paper, we investigate secure transmission in a massive multiple-input multiple-output (MIMO) system adopting low-resolution digital-to-analog converters (DACs). Artificial noise (AN) is deliberately transmitted simultaneously with…

Information Theory · Computer Science 2019-01-30 Jindan Xu , Wei Xu , Jun Zhu , Derrick Wing Kwan Ng , A. Lee Swindlehurst