Article
Engineering, Electrical & Electronic
Lei Hua, Yajun Wang, Zhuxian Lian, Yinjie Su, Zhibin Xie
Summary: This paper addresses the reduction of peak to average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM)-based massive multi-user (MU) multiple-input multiple-output (MIMO) downlink systems. By utilizing the redundancy provided by a large number of base station antennas, the non-convex optimization problem of OFDM modulation, MU precoding, and PAPR reduction is formulated. The linearized alternating direction method of multipliers (LADMM) is used to directly solve this problem without relaxation. Experimental results show that LADMM achieves comparable PAPR reduction, faster convergence, and lower complexity compared to existing methods based on relaxations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Guillem Femenias, Felip Riera-Palou
Summary: This paper discusses the design of beam squint-aware hybrid beamformers for wideband cell-free mmWave massive MIMO-OFDM systems. Different analog RF precoder/combiner strategies are proposed and implemented using centralized designs. Numerical simulations show that beam squint-aware designs outperform beam squint-unaware strategies in typical wideband cell-free mmWave massive MIMO-OFDM scenarios.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Mohammad Javad Zakavi, S. Alireza Nezamalhosseini, Lawrence R. Chen
Summary: This paper proposes a multiuser visible light communication (VLC) system using massive multiple-input multiple-output (mMIMO) orthogonal frequency-division multiplexing (OFDM) for achieving high data rates. By utilizing an array of LEDs to illuminate a room, user interference can be eliminated with simple linear signal processing, allowing more users to communicate simultaneously. The performance of three linear precoding methods in terms of spectral efficiency and downlink optical power is evaluated and compared.
Article
Computer Science, Information Systems
Amir J. Salomon, Benjamin G. Salomon, Ofer Amrani
Summary: In this paper, a new method for down-link communication called OFDRMA is discussed, which avoids the heavy task and overhead required in traditional resource allocation methods and provides higher performance and efficiency.
Article
Computer Science, Information Systems
Yung-Ping Tu, Chih-Yung Chen, Kuang-Hao Lin
Summary: This paper investigates the use of a two-stage multiuser detector (MUD) in the uplink of M-MIMO OFDM systems, combined with an accelerated over-relaxation iterative algorithm and Chebyshev acceleration, to achieve a balance between bit error rate and computational complexity. Simulation results demonstrate that the proposed method outperforms previous works, particularly in MU M-MIMO uplink environments.
Article
Engineering, Electrical & Electronic
Guilherme Zilli, Wei-Ping Zhu
Summary: This paper proposes a novel two-stage joint hybrid precoder and combiner design for maximizing the average achievable sum-rate of frequency-selective millimeter-wave massive MIMO-OFDM systems. The solution is obtained by a projected alternate least-square-based algorithm, suitable for both single-user and multiuser systems. Numerical simulation results validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Oliver Lang, Christian Hofbauer, Reinhard Feger, Mario Huemer
Summary: An orthogonal frequency-division multiplexing (OFDM) waveform is used for simultaneous radar sensing and communications. Equidistant subcarrier interleaving (ESI) is usually employed in the multiple-input multiple-output (MIMO) case for multiplexing the transmit signals. This work analyzes a new multiplexing technique called range-division multiplexing (RDMult), which separates signals from different Tx antennas along the range axis. The study also investigates the impact of RDMult on communication and proposes a communication system specifically designed for RDMult.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Sarthak Nijhawan, Agrim Gupta, Kumar Appaiah, Rahul Vaze, Nikhil Karamchandani
Summary: The paper discusses the impact of using channel state information (CSI) on the performance of wireless communication systems, addressing the burden of CSI feedback in links employing multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM). It proposes efficient methods for quantization and interpolation on Flag manifolds, which effectively enhance achievable rates with limited complexity.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Charles Jeon, Arian Maleki, Christoph Studer
Summary: This paper investigates mismatched data detection in massive MU-MIMO wireless systems, introducing a tuning stage into the LAMA algorithm to optimize the performance of data detectors. Carefully-selected priors allow for near-optimal error-rate performance, and performance analysis is conducted for Gaussian and uniform priors in data detection.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Computer Science, Information Systems
The Khai Nguyen, Ha H. Nguyen, Hoang D. Tuan, Hien Quoc Ngo
Summary: This letter proposes improved pilot designs to enhance the connectivity of multicarrier massive MIMO systems, effectively reducing pilot overhead and improving spectral efficiency.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Acoustics
Jing-wei Yin, Guang-jun Zhu, Xiao Han, Wei Ge, Lin Li, Ya-nan Tian
Summary: This paper introduces a single-carrier multiuser receiver in underwater acoustic communications that utilizes passive time-reversal and direct-adaptation-based turbo equalization to suppress multiple access interference. The receiver operates in an iterative block manner, improving communication accuracy through successive interference cancellation and post-SIC signal updates. Experimental results demonstrate successful recovery of single-carrier nine-user communication data with an average data rate of 1.67kbps.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2021)
Article
Physics, Multidisciplinary
Zhi Quan, Jiyu Luo, Hailong Zhang, Li Jiang
Summary: Massive multiple-input multiple-output (MIMO) systems outperform small-scale MIMO systems in terms of data rate, making them crucial for next-generation wireless systems. However, the increased number of antennas poses computational challenges for data detection, thus requiring more efficient techniques. This paper introduces a detector based on joint deregularized and box-constrained dichotomous coordinate descent (BOXDCD) with iterations for rectangular m-ary quadrature amplitude modulation (M-QAM) symbols. The proposed detector achieves significant performance improvement compared to existing algorithms, with the advantage increasing with system size and signal-to-noise ratio.
Article
Telecommunications
Yajing Guan, Jin Deng, Xiantao Cheng
Summary: This letter investigates the potential benefits of massive MIMO for accurate positioning. The Cramer-Rao bound is derived to evaluate the position estimation uncertainty in quantized uplink massive MIMO systems. Numerical results demonstrate the possibility of accurate localization even with low-resolution ADCs.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Information Systems
Mingduo Liao, Yuriy Zakharov
Summary: This paper addresses the problem of channel estimation in virtual angular domain in massive MIMO orthogonal frequency division multiplexing (OFDM) systems with time varying channels. The proposed channel estimator is based on dichotomous coordinate decent joint sparse recovery (DCD-JSR) algorithm, which is accurate for static channels over several OFDM symbols but not for time-varying channels. The estimator exploits the basis expansion model (BEM) to approximate the time-variation of the channel and the sparsity of the channel in the virtual angular domain for joint estimation of the BEM expansion coefficients.
Article
Engineering, Electrical & Electronic
Jung-Chieh Chen
Summary: Finite equalization is a technique that reduces power consumption and processing delay in baseband processing for all-digital massive multiuser MIMO uplink systems. However, the optimization of low-resolution equalization coefficients is a challenging NP-hard problem. To address this, we reformulate the problem as an unconstrained optimization on a smooth Riemannian manifold and propose an algorithm based on Riemannian manifold optimization (RMO). Simulation results show that our 2-bit RMO-assisted equalizer outperforms existing methods and only incurs a 1.47 dB loss at a BER of 10(-4) compared to an unquantized equalizer.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Theory & Methods
Guanxiong Shen, Junqing Zhang, Alan Marshall, Joseph R. Cavallaro
Summary: This paper presents a device authentication technique called Radio Frequency Fingerprint Identification (RFFI) based on transmitter hardware impairments. The proposed framework uses a deep learning-powered RFF extractor and channel independent features for scalable and channel-robust authentication.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2022)
Article
Engineering, Electrical & Electronic
Emre Gonultas, Eric Lei, Jack Langerman, Howard Huang, Christoph Studer
Summary: CSI-based fingerprinting via neural networks is a promising approach for accurate indoor and outdoor positioning under challenging propagation conditions.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Yue Dai, Maryam Eslami Rasekh, Seyed Hadi Mirfarshbafan, Harrison Liew, Alexandra Gallyas-Sanhueza, James Dunn, Upamanyu Madhow, Christoph Studer, Borivoje Nikolic
Summary: This paper presents an algorithm-adaptable, scalable, and platform-portable generator for massive MIMO baseband processing systems and evaluates its performance and reliability through experimental results.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Haochuan Song, Tom Goldstein, Xiaohu You, Chuan Zhang, Olav Tirkkonen, Christoph Studer
Summary: This paper proposes a joint channel estimation and data detection algorithm for densely-populated cell-free massive multiuser multiple-input multiple-output systems. The algorithm reduces the channel training overhead and enables reliable communication with a large number of user equipments.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Editorial Material
Computer Science, Information Systems
Gabriel Falcao, Joseph R. Cavallaro, Farhana Sheikh, Leonel Sousa
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
(2022)
Editorial Material
Computer Science, Hardware & Architecture
Gabriel Falcao, Joseph Cavallaro
Article
Computer Science, Information Systems
Nadya Mohamed, Joseph Cavallaro
Summary: Deep neural networks have become the standard tool for solving practical problems, but their high computational resource requirements pose challenges for real-time applications on low-power edge devices. This work proposes an FPGA-based architecture for real-time outlier detection in time series data, which combines a fine-tuned autoencoder network and an LSTM network. The hardware accelerator of the integrated networks reduces computational complexity and enhances throughput. Experimental results show that the proposed architecture efficiently analyzes and detects outliers in real-time with low latency and power consumption, making it suitable for resource-constrained edge platforms.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
(2023)
Article
Computer Science, Hardware & Architecture
Srinivasan Subramaniyan, Oscar Ferraz, M. R. Ashuthosh, Santosh Krishna, Guohui Wang, Joseph R. R. Cavallaro, Vitor Silva, Gabriel Falcao, Madhura Purnaprajna
Summary: This article presents efficient hardware design for nonbinary low-density parity-check (NB-LDPC) codes, enabling reliable data transmission over noisy channels.
IEEE DESIGN & TEST
(2023)
Article
Computer Science, Hardware & Architecture
Nadya A. Mohamed, Joseph R. Cavallaro
Summary: This paper introduces a novel hardware architecture for accelerating LSTM networks. The hardware achieves low latency and high throughput through serial-parallel computation, matrix algebra concepts, and efficient low-power computing techniques, making it suitable for various low-power edge applications.
IEEE TRANSACTIONS ON COMPUTERS
(2023)
Article
Computer Science, Theory & Methods
Guanxiong Shen, Junqing Zhang, Alan Marshall, Mikko Valkama, Joseph R. Cavallaro
Summary: This paper presents a neural network-based radio frequency fingerprint identification (RFFI) technique that can classify wireless devices by analyzing signal distortions caused by hardware impairments. To overcome the limitations of fixed-size input data and unsatisfactory performance in low signal-to-noise ratio (SNR) scenarios, four neural network models capable of processing signals of variable lengths are proposed, along with the use of data augmentation and multi-packet inference approaches to improve robustness and classification accuracy.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Parham Kazemi, Hanan Al-Tous, Christoph Studer, Olav Tirkkonen
Summary: This paper proposes a novel beam-tracking algorithm based on channel charting, which can efficiently track the communication link in a millimeter wave mobile communications system. The algorithm achieves low beam-search overhead and robust performance by leveraging a learned channel chart and mapping it to signal-to-noise ratio.
2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING)
(2022)
Article
Computer Science, Information Systems
Oscar Ferraz, Srinivasan Subramaniyan, Ramesh Chinthalaa, Joao Andrade, Joseph R. Cavallaro, Soumitra K. Nandy, Vitor Silva, Xinmiao Zhang, Madhura Purnaprajna, Gabriel Falcao
Summary: This study investigates the decoding algorithms and hardware implementations of non-binary low-density parity-check (NB-LDPC) codes. Existing NB-LDPC decoders have been optimized in terms of computational complexity and memory requirements, but they lag behind binary counterparts in throughput, power, and area optimization.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Nadya A. Mohamed, Joseph R. Cavallaro
Summary: This paper introduces a real-time outlier detection method based on Autoencoder-LSTM neural network, which can detect outliers in real-time by extracting latent features in sensor data and predicting the next step.
2021 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS 2021)
(2021)
Proceedings Paper
Telecommunications
Alexandra Gallyas-Sanhueza, Christoph Studer
Summary: Blind estimators are proposed for various parameters in multi-antenna millimeter wave wireless systems, computed at low complexity and relying on beamspace sparsity. These estimators can be used to track key quantities and design efficient nonparametric algorithms, demonstrating effectiveness in synthetic experiments and channel-vector denoising tasks.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Chance Tarver, Alexios Balatsoukas-Stimming, Christoph Studer, Joseph R. Cavallaro
Summary: Linearizing massive MIMO arrays poses a computational challenge that scales with the number of antennas. The proposed beam-oriented digital predistortion (DPD) scheme for OFDM-based massive MIMO systems achieves DPD performance comparable to conventional methods while requiring significantly fewer multiplications for a 64-antenna array as shown through simulation results.
2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
(2021)
