RF, Analog, and Digital Laboratory for Advanced Signal Processing Circuits at Florida International University
The paper titled “Combined Approximate Transforms and Approximate Computing for Low-Complexity Multibeam Arrays” is accepted at IEEE 2023 22nd International Symposium on Communications and Information Technologies (ISCIT), ISCIT 23. Co-authors are Chamith Wijenayake, Chamira Edussooriyam and Pathmapirian Nanthakumar.
The paper titled “Analog Current-Mode 8-point Approximate-DFT Multi-Beamformer with 4.7 Gbps Channel Capacity“ has appeared in IEEE Access. Co-authors are Haixian Zhao, Soumyajit Mandal and Renato Cintra.
We are proud to say the following paper has been accepted at IEEE Trans. on Signal Processing.
S. M. Perera, L. Lingsch, A. Madanayake, S. Mandal, and N. Mastronardi, “A Fast DVM Algorithm for Wideband Time-elay Multi-Beam Beamformers ”. To appear.
Two papers with Dr. Chamira Edussooriya, Dr. Chamith Wijenayake and Darukeesan Pakiyarajah have been accepted at IEEE Moratuwa Engineering Research Conference (MerCon) 2023
Titles are “Minimax Design of M-D Complex-Coefficient FIR Filters with Nearly-Constant Low Group Delays” and “A Low-Complexity 2-D FIR Parallelogram Filter for Broadband Beamforming with Sparse Linear Arrays”.
Our paper titled “Toward Real-Time Software-Defined Radios for Ultrabroadband Communication Above 100 GHz” , IEEE Microwave Magazine - Application Notes - is published and available!. Congratulations to co-authors Viduneth Ariyarathna and Josep Jornet!
RAND Lab is proud to announce an ICORPS Award titled “I-Corps: NextG Wireless Communications” in support of our technology commercialization activities.
Abstract
The broader impact/commercial potential of this I-Corps project is the expansion of wireless communications that are expected to be a valuable resource to wireless network operators and defense contractors. The Federal Communications Commission (FCC) auctions valuable airwave licenses that can be used to build faster and more powerful 5G networks. A recent FCC auction raised $22.9 billion. With the proposed technology, wireless network operators may use their most expensive spectrum licenses to double capacity and enable future growth of their customer base and data rate expansions.
This I-Corps project is based on the development of technology to expand future wireless networks. The rapid growth in wireless devices has caused a spectral scarcity in sub-6 GHz “legacy” bands. Although the mm-wave spectrum is abundant and the future of wireless relies on moving to mm-wave bands, the legacy frequencies remain important for communications due to favorable physics for highly scattering urban environments. Consequently, there will always be demand for the sub-6 GHz spectral band from commercial, public safety, and military systems. In-band full duplex (IBFD) radios can simultaneously transmit and receive (STAR) two information-carrying signals over the same bandwidth, thus effectively doubling the bandwidth of operation and the capacity of the wireless channel. IBFD offers an advantage for wireless communications in legacy spectral bands. However, IBFD suffers from self-interference (SI) (shadowing the signal of interest (SOI) due to transmitter signal leakage to the receiver). The IBFD is especially challenging in multiple-input and multiple-output (MIMO) radios due to mutual coupling (MC) (shadowing the SOI due to transmission from neighboring antenna elements). Practical and low-complex designs capable of performing STAR in MIMO radios are crucial for the future of IBFD.
RAND Lab is a sub-awardee funded as part of “MRI: Development of a Terahertz Measurement Facility for Wireless Communications, Electronics and Materials” led by NYU’s Ted Rappaport. Dr. Arjuna Madanayake is a co-PI in this award.
Abstract
The Terahertz (THz) Measurement Facility, a collaboration between New York University, University of Colorado at Boulder, University of Nebraska–Lincoln, and Florida International University, is a laboratory to support basic measurements of devices, circuits, materials, and radio propagation channels at the highest reaches of the radio spectrum. While today’s cellular telephones and wi-fi networks operate at frequencies below 100 GHz, there is great promise for greater download speeds and vast new wireless applications by moving up to the underexplored sub-THz and THz frequency bands – frequencies from 100 to 500 GHz. This MRI grant provides a facility to explore wireless components and systems at these new frequencies.
This grant supports three areas of measurement: a) Radio Frequency Integrated Circuit (RFIC) measurements, b) radio propagation and channel modeling, and c) metrology and calibration, over the contiguous frequency range of 75 GHz to 500 GHz. A unique concept of this facility is the loan of equipment, where institutions may borrow THz components to conduct remote field measurements for wireless communications, propagation, and sensing. Evolving semiconductors and integrated circuits, as well as the next-generation electronics based on layered materials (e.g., graphene), will be measured at THz bands using the RFIC probe station. This facility will have a broad impact on the future of communications, materials, and devices. The creation of new calibration and metrology approaches are vital for accurate and repeatable measurements throughout the US research community in this underexplored range of frequencies. The study of nanotechnology devices using the RFIC probe station will unleash new capabilities in sensing, communications, and computing that may have a transformative impact on society. The radio propagation measurement systems offer vital knowledge for researchers in industry, academia and international standard bodies who will design future high-speed wireless networks for 6G, 7G and beyond. Students using this facility will gain knowledge at these new frequency bands. The THz Measurement Facility will host a robust website for the explanation of available equipment, tutorials for learning how to use the facility, and a repository of measurement results, metrology approaches, and recent research results. The website link is https://engineering.nyu.edu/THzLAB and will be maintained and updated regularly. Popular simulators, measurement studies, calibration results, student and collaborator activities, sponsor and vendor activities, equipment user notes, and K-12 outreach events will be placed on the website.
The project titled “Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning” has been funded by NSF.
Abstract
Resilience to interference via improved spectrum access requires fast sensing, cognition, and actionable intelligence to algorithmically enforce compliance in real-time. The ability to measure spectrum usage, quantify legitimate uses, detect violations and enforce compliance directly leads to improved spectrum utilization, coexistence of multiple competing users, and enhanced security. To this end, this SWIFT project will demonstrate a system for spectral situational awareness through radio frequency (RF) machine learning (ML). The key objective is to obtain actionable spectrum intelligence in the sub-6 GHz legacy bands through a real-time understanding of waveform shapes, spectral content, and modulation schemes. The research will create lifelong incremental learning approaches to spectrum management and dynamic spectrum access, enabled by advanced hardware innovations.
The project is expected to improve at least 100x over software-based systems, through a combination of array processing, reliable AI with lifelong learning algorithms, low-complexity AI, and digital signal processing. Specifically, AI techniques will be used to achieve spectrum intelligence, and more specifically data driven techniques, such as deep learning, towards real-time processing of wideband multi-directional RF signals carrying a diverse set of waveforms, modulations, and protocols. Led by Florida International University (FIU) - South Florida's largest public research R1 university with 67+% Hispanic students, this SWIFT team will include many under-represented students, who in summer research, will learn key concepts in spectrum sensing. PIs at Embry-Riddle Aeronautical University will spearhead efforts in mentoring women in science, technology, engineering, and mathematics. The PI at Northeastern University will focus on creating graduate teaching materials in wireless communications and RF-ML based on Colosseum (the world's largest RF emulator) and the PAWR platforms. The team will develop and maintain public open datasets for training AI radios for usability and reproducibility of the scientific community.
The paper titled “Minimax Design of M-D Complex-Coefficient FIR Filters with Nearly-Constant Low Group Delays” was accepted for lecture presentation at IEEE ISCAS’ 2023. Co-authors are Darukeesan Pakiyarajah, Chamith Wijenayake, Chamira Edussooriya, and Arjuna Madanayake.
The paper titled “Vision Transformer with Convolutional Encoder-Decoder for Hand Gesture Recognition using 24 GHz Doppler Radar” has been accepted at IEEE Sensors Letters. Co-Authors include Kavinda Kehelella, Gayangana Leelarathne, Dhanuka Marasinghe, Nisal Kariyawasam, Viduneth Ariyarathna, Arjuna Madanayake, Ranga Rodrigo, and Chamira U. S.Edussooriya.
The paper titled “Nearfield RF Sensing for Feature-Detection and Algorithmic Classification of Tamper Attacks” has been accepted at IEEE RFID Journal. Co-authors are Md. Sadik Awal, Tauhid Rahman, and Arjuna Madanayake.
We have a new paper titled “Proof-of-Sense: A Novel Consensus Mechanism for spectrum Misuse Detection" which will appear as on the Special Section on Next Generation Blockchain Technology with Industrial IoT in Industry 4.0 at IEEE Trans. on Industrial Informatics. The co-authors are
Pramitha Fernando - Faculty of Engineering, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Keshawa Dadallage - Department of Electrical and Information Engineering, University Ruhuna, Galle, Sri Lanka.
Tharindu Gamage - Department of Electrical and Information Engineering, University Ruhuna, Galle, Sri Lanka
Chathura Seneviratne - Department of Electrical and Information Engineering, University Ruhuna, Galle, Sri Lanka.
Madhusanka Liyanage - School of Computer Science, University College Dublin (UCD), Ireland, the Centre for Wireless Communications, University of Oulu, Finland, and the Department of Electrical and Information Engineering, University of Ruhuna, Galle, Sri Lanka.
and Arjuna Madanayake at FIU.
The paper titled ``A Real-Time Ultra-broadband Software-Defined Radio Platform for Terahertz Communications'' will appear at INFOCOM' 22. This is a real-world engineering demonstration. The team of authors include H.~Abdellatif, V.~Ariyarathna, S.~Petrushkevich, A.~Madanayake, and J.~Jornet.
The paper titled “General Framework for Array Noise Analysis and Noise Performance of a Two-Element Interferometer with a Mutual-Coupling Canceler” has been accepted for publication at IEEE Trans. on Antennas and Propagation. The authors are Leo Belostotski, Adrian Sutinjo, Ravi Subrahmanyan, Arjuna Madanayake and Soumyajit Mandal.
Arjuna Madanayake gave an invited seminar titled “Analog CMOS Computing Chips for Fast and Energy-Efficient Solution of PDE Systems” at Mitsubishi Electric Research Labs (MERL), Boston, MA. SLIDES
The following papers have been accepted at IEEE ISCAS’2022.
N. Dissanayake, D. Pakiyarajah, C. Wijenayake, C. Edussooriya, A. Madanayake, “Weighted Least-Squares Design of 2-D IIR Filters with Arbitrary Frequency Response Using Iterative Second-Order Cone Programming”.
K. Wickramasinghe, A. Ganeshan, K. Samarasinghe, C. Wijenayake, A. Madanayake, and C. Edussooriya, "A Mostly Online CAS Teaching Experience”.
Dr. Arjuna Madanayake gave an invited seminar titled “An Emerging Age of Analog-Accelerated Computing” at 11th IEEE CASS Rio Grande do Sul Workshop/ 3rd IEEE CASS-RS Young Professionals Workshop.
The paper titled “Frequency-Multiplexed Array Digitization for MIMO Receivers: 4-Antennas/ADC at 28~GHz on Xilinx ZCU-1285 RF SoC” has been accepted at IEEE Access. Co-authors are Najath Akram, Sravan Pulipati, Viduneth Ariyarathna, Satheesh Venkatakrishnan, John Volakis, Dimitra Psychogiou, Tom Marzetta, Ted Rappaport, and Arjuna Madanayake.
Hiruni De Silva joins the research group as a direct-PhD student. A warm welcome to Hiruni.
The paper titled “Low-complexity Scaling Methods for DCT-II Approximation” has been accepted at IEEE Trans. on Signal Processing (TSP) having impact factor 5.028. Authors are Diego Coelho, Sirani Perera, Renato Cintra and Arjuna Madanayake.