cardDesc: We tackle a broad set of problems relating to the electromagnetic phenomena, from antennas and propagation, to electromagnetic interference/compatiblity, to wireless communication.
@ -19,87 +19,71 @@ Our research is sponsored by National Science Foundation, Office of Naval Resear
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# Group News
### •2023, Honorable Mention Award in Student Paper Competition atIEEE AP-S Symposium
Qi Jian Lim received the2023 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “Full-Wave Simulation of a 10,000-element Reconfigurable Intelligent Surface with a Single Workstation Computer”.
### •2023, Honorable Mention Award in Student Paper Competition atIEEE AP-S Symposium
Sangrui Luo received the2023 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “A Hybrid Predictive Model for the Spatial-Spectral Analysis of Wave Physics in Complex Enclosures”.
# Group News
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## 2023, Honorable Mention Award in Student Paper Competition atIEEE AP-S Symposium
Qi Jian Lim received the2023 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “Full-Wave Simulation of a 10,000-element Reconfigurable Intelligent Surface with a Single Workstation Computer”.
### •2023, TICRA-EurAAP Grant Awardee at EuCAP 2023
## 2023, Honorable Mention Award in Student Paper Competition atIEEE AP-S Symposium
Sangrui Luo received the2023 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “A Hybrid Predictive Model for the Spatial-Spectral Analysis of Wave Physics in Complex Enclosures”.
Congratulations to Qi Jian Lim for being selected as one of the eight awardees of the TICRA-EurAAP Grants at 17th European Conference on Antennas and Propagation.
## 2023, TICRA-EurAAP Grant Awardee at EuCAP 2023
Congratulations to Qi Jian Lim for being selected as one of the eight awardees of the TICRA-EurAAP Grants at 17th European Conference on Antennas and Propagation.
### •2022,Best Electromagnetics Paper Award at 16th European Conference on Antennas and Propagation
Our Paper“Quantum-Assisted Combinatorial Optimization of Reconfigurable Intelligent Surfaces”(Qi Jian Lim, Charles Ross, Gabriele Gradoni, and Zhen Peng) receivedthe Best Electromagnetics Paper Award atthe 16th European Conference on Antennas and Propagation (EuCAP2022).
## 2022,Best Electromagnetics Paper Award at 16th European Conference on Antennas and Propagation
Our Paper“Quantum-Assisted Combinatorial Optimization of Reconfigurable Intelligent Surfaces”(Qi Jian Lim, Charles Ross, Gabriele Gradoni, and Zhen Peng) receivedthe Best Electromagnetics Paper Award atthe 16th European Conference on Antennas and Propagation (EuCAP2022).
We proposed a physics-based optimization approach for reconfigurable intelligent surfaces, inspired by the quantum mechanical physics of correlated spins. The new idea is grounded on the isomorphism between the electromagnetic scattered power and Ising Hamiltonian. Thereby, the problem of optimizing phase configuration is converted into finding the ground state of the target Ising Hamiltonian. Under this framework, we successfully demonstrated the feasibility of combinatorial optimization for weighted beamforming and diffusive scattering applications.
### • 2022, Best Paper Award Finalist at IEEE EMC Symposium
Our paper,“On the Vectorial Property of Stochastic Dyadic Green’s Function in Complex Electronic Enclosures”entered into the 2022 Best EMC Symposium Paper Finalist in the 2022 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity.
### •2022,Yuen T. Lo Outstanding Research Award
Shen Lin received the Yuen T. Lo Outstanding Research Award in the Department of Electrical & Computer Engineering (ECE) at the University of Illinois at Urbana-Champaign (UIUC). Congratulations to Shen!
https://ece.illinois.edu/academics/grad/awards/lo
### •2021,Best Conference Paper Award at 30th Electrical Performance of Electronic Packaging and System
Our Paper“On the Statistical Analysis of Space-Time Wave Physics in Complex Enclosures”(Shen Lin and Zhen Peng) receivedthe Best Paper Award at30th Electrical Performance of Electronic Packaging and System (EPEPS2021).
We proposed a physics-oriented, mathematically tractable statistical wave model, named the space-time stochastic Green’s function, for analyzing the wave physics of high-frequency reverberation within complex confined electromagnetic environments. The model characterizes both spatial and temporal variations and correlations of wave fields without the need for detailed knowledge of the complex environment. Experimental results are supplied to validate the proposed work.
### •2021, Honorable Mention Award and Final list in Student Paper Competition atIEEE AP-S Symposium
Shen Lin received the2021 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “A Space-Time Stochastic Green’s Function Method for Statistical Analysis of Wave Physics in Ray-Chaotic Enclosures”.
### •2020,3rd Place Winner in Student Paper Competition at IEEE AP-S Symposium
Our Paper“Statistical Analysis of Information Transmission in Ray-Chaotic Enclosures: A Stochastic Green's Function Approach”(Shen Lin and Zhen Peng) won the 3rd place in Student Paper Competition (SPC) at 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting(2020 IEEE AP-S). A total of 203 student papers entered into the SPC this year.
There has been much interest in studying the physics of wireless channels in strongly scattering, indoor environments displaying ray chaotic dynamics. This paper presents a physics-based mathematical model, so-called stochastic Green’s function, built upon Wigner’s random matrix theory and Berry random wave hypothesis. The work can be used to characterize the channel capacity, spatial correlation, and coherence bandwidth based on macroscopic knowledge of the propagation environment.
## 2022, Best Paper Award Finalist at IEEE EMC Symposium
Our paper,“On the Vectorial Property of Stochastic Dyadic Green’s Function in Complex Electronic Enclosures”entered into the 2022 Best EMC Symposium Paper Finalist in the 2022 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity.
### •2019,Best Conference Paper Award at 28th Electrical Performance of Electronic Packaging and System
## 2022,Yuen T. Lo Outstanding Research Award
Shen Lin received the [Yuen T. Lo Outstanding Research Award](https://ece.illinois.edu/academics/grad/awards/lo) in the Department of Electrical & Computer Engineering (ECE) at the University of Illinois at Urbana-Champaign (UIUC). Congratulations to Shen!
Our Paper“A Novel Space-Time Building Block Methodology for Transient Electromagnetic Analysis”(Shu Wang and Zhen Peng) receivedthe Best Paper Award at28th Electrical Performance of Electronic Packaging and System (EPEPS2019).
## 2021,Best Conference Paper Award at 30th Electrical Performance of Electronic Packaging and System
Our Paper“On the Statistical Analysis of Space-Time Wave Physics in Complex Enclosures”(Shen Lin and Zhen Peng) receivedthe Best Paper Award at30th Electrical Performance of Electronic Packaging and System (EPEPS2021).
We proposed a space-time building block methodology for efficient time-domain analysis of multi-scale, locally periodic structures. By leveraging the principles of linear superposition and space-time causality in wave physics, the 4D simulation domain is represented by a few space-time building blocks, which are constructed upon 3D spatial unit cell and 1D time unit. The work results in novel time-evolution schemes, which exhibit high-order accuracy and achieve concurrency and parallelism in both spatial and temporal dimensions.
We proposed a physics-oriented, mathematically tractable statistical wave model, named the space-time stochastic Green’s function, for analyzing the wave physics of high-frequency reverberation within complex confined electromagnetic environments. The model characterizes both spatial and temporal variations and correlations of wave fields without the need for detailed knowledge of the complex environment. Experimental results are supplied to validate the proposed work.
### • 2019, Best Paper Award at IEEE EMC Symposium
## 2021, Honorable Mention Award and Final list in Student Paper Competition atIEEE AP-S Symposium
Shen Lin received the2021 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “A Space-Time Stochastic Green’s Function Method for Statistical Analysis of Wave Physics in Ray-Chaotic Enclosures”.
Our paper,“A Novel Statistical Model for the Electromagnetic Coupling to Electronics inside Enclosures”has been selected as 2019 Best EMC Symposium Paper Award in the 2019 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity,https://www.emc2019.emcss.org.It is a joint work with Edl Schamiloglu (UNM), Zachary B. Drikas (NRL), and Thomas Antonsen (UMD).
## 2020,3rd Place Winner in Student Paper Competition at IEEE AP-S Symposium
Our Paper“Statistical Analysis of Information Transmission in Ray-Chaotic Enclosures: A Stochastic Green's Function Approach”(Shen Lin and Zhen Peng) won the 3rd place in Student Paper Competition (SPC) at 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting(2020 IEEE AP-S). A total of 203 student papers entered into the SPC this year.
The work is supported by NSR CAREER Award, and AFOSR/AFRL Center of Excellence: Science of Electronics in Extreme Electromagnetic Environments.http://ece-research.unm.edu/AFOSR-COE/
There has been much interest in studying the physics of wireless channels in strongly scattering, indoor environments displaying ray chaotic dynamics. This paper presents a physics-based mathematical model, so-called stochastic Green’s function, built upon Wigner’s random matrix theory and Berry random wave hypothesis. The work can be used to characterize the channel capacity, spatial correlation, and coherence bandwidth based on macroscopic knowledge of the propagation environment.
### •2019,Honorable Mention Award at IEEE AP-S Symposium Student Paper Competition
## 2019,Best Conference Paper Award at 28th Electrical Performance of Electronic Packaging and System
Our Paper“A Novel Space-Time Building Block Methodology for Transient Electromagnetic Analysis”(Shu Wang and Zhen Peng) receivedthe Best Paper Award at28th Electrical Performance of Electronic Packaging and System (EPEPS2019).
Shen Lin received the2019 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “Physics-Oriented Statistical Analysis of Information Transmission in Wave-Chaotic Environments”.
We proposed a space-time building block methodology for efficient time-domain analysis of multi-scale, locally periodic structures. By leveraging the principles of linear superposition and space-time causality in wave physics, the 4D simulation domain is represented by a few space-time building blocks, which are constructed upon 3D spatial unit cell and 1D time unit. The work results in novel time-evolution schemes, which exhibit high-order accuracy and achieve concurrency and parallelism in both spatial and temporal dimensions.
### •2019,3rd Place in Student Paper Competition at NEMO Conference
Oameed Noakoasteen received the 3rd place in the studentpaper competition at 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization. The title of the paper is “Physics-Informed deep Neural Networks for Transient Electromagnetic Analysis”.Congratulations to Oameed.
## 2019, Best Paper Award at IEEE EMC Symposium
Our paper,“A Novel Statistical Model for the Electromagnetic Coupling to Electronics inside Enclosures”has been selected as 2019 Best EMC Symposium Paper Award in the [2019 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity](https://www.emc2019.emcss.org).It is a joint work with Edl Schamiloglu (UNM), Zachary B. Drikas (NRL), and Thomas Antonsen (UMD).
We propose a deep convolutional encoder-recurrent-decoder architecture to predict the time-evolution in transient electromagnetics. Based on the principles of linear superposition and space-time causality, the network is able to superimpose the learned scattering mechanisms (wave reflection, diffraction, and creeping wave, etc.) locally and emulate the transientelectromagnetic problems.It is ajoint work with Mr. Shu Wang.
The work is supported by NSR CAREER Award, and [AFOSR/AFRL Center of Excellence: Science of Electronics in Extreme Electromagnetic Environments](http://ece-research.unm.edu/AFOSR-COE/).
### •2019,1st Place in Student Paper Competition at ACES Symposium
## 2019,Honorable Mention Award at IEEE AP-S Symposium Student Paper Competition
Shen Lin received the2019 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “Physics-Oriented Statistical Analysis of Information Transmission in Wave-Chaotic Environments”.
Shu Wang received the 1st place in the studentpaper competition at 2019 International Applied Computational Electromagnetics Society (ACES) Symposium. The title of the paper is “Platform-aware In-situ Antenna and Metamaterial Analysis and Design”.Congratulations to Shu!
## 2019,3rd Place in Student Paper Competition at NEMO Conference
Oameed Noakoasteen received the 3rd place in the studentpaper competition at 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization. The title of the paper is “Physics-Informed deep Neural Networks for Transient Electromagnetic Analysis”.Congratulations to Oameed.
The objective of this paper is to build a reconfigurable, reusable, and parallel model reduction platform towards transformative in-situ antenna design. The key idea is to introduce a separable and compressible platform Green’s function in an up-front offline computation. Once obtained, the online computational complexity does not depend on the size of the in-situ platform. As a result, in-situ design and optimization of multi-antenna systems can be performed at the same cost as the free-space radiation. The advancements make high-fidelity in-situ antenna design orders of magnitude faster. It is ajoint work with Dr. Brian MacKie-Mason and Dr. Hongwei Gao.
We propose a deep convolutional encoder-recurrent-decoder architecture to predict the time-evolution in transient electromagnetics. Based on the principles of linear superposition and space-time causality, the network is able to superimpose the learned scattering mechanisms (wave reflection, diffraction, and creeping wave, etc.) locally and emulate the transientelectromagnetic problems.It is ajoint work with Mr. Shu Wang.
### • 2019ACES Symposium Short Course
## 2019,1st Place in Student Paper Competition at ACES Symposium
Shu Wang received the 1st place in the studentpaper competition at 2019 International Applied Computational Electromagnetics Society (ACES) Symposium. The title of the paper is “Platform-aware In-situ Antenna and Metamaterial Analysis and Design”.Congratulations to Shu!
Ever-increasing fidelity and accuracy needs for advanced electromagnetic (EM) applications have been pushing the problem sizes toward extreme scales. It puts a high premium on the investigation of high-performance algorithms with optimal computational complexity. In recent years, domain decomposition (DD) methods have enjoyed considerable success in solving large multi-scale EM problems. These methods feature divide-and-conquer in solution algorithms (applying the most suitable solution strategy to solve each sub-problem) and plug-in-play in software architectures (integrating individual EM solvers into a portable and extensible solution suite). They also result in highly efficient and naturally parallelizable algorithms on distributed memory many-core parallel computing systems.
The objective of this paper is to build a reconfigurable, reusable, and parallel model reduction platform towards transformative in-situ antenna design. The key idea is to introduce a separable and compressible platform Green’s function in an up-front offline computation. Once obtained, the online computational complexity does not depend on the size of the in-situ platform. As a result, in-situ design and optimization of multi-antenna systems can be performed at the same cost as the free-space radiation. The advancements make high-fidelity in-situ antenna design orders of magnitude faster. It is ajoint work with Dr. Brian MacKie-Mason and Dr. Hongwei Gao.
This short course will review and discuss recent progress in the DD methods for solving differential and integral equations with applications to large-scale EM problems.
## 2019ACES Symposium Short Course
Ever-increasing fidelity and accuracy needs for advanced electromagnetic (EM) applications have been pushing the problem sizes toward extreme scales. It puts a high premium on the investigation of high-performance algorithms with optimal computational complexity. In recent years, domain decomposition (DD) methods have enjoyed considerable success in solving large multi-scale EM problems. These methods feature divide-and-conquer in solution algorithms (applying the most suitable solution strategy to solve each sub-problem) and plug-in-play in software architectures (integrating individual EM solvers into a portable and extensible solution suite). They also result in highly efficient and naturally parallelizable algorithms on distributed memory many-core parallel computing systems.
This short course will review and discuss recent progress in the DD methods for solving differential and integral equations with applications to large-scale EM problems.
@ -16,7 +16,7 @@ The foundation of our research is theoretical, computational, and statistical el
Our rudimentary research is the pursuit of mathematical and computational models that enable the prediction and discovery of classical and quantum electrodynamic phenomena. These models will allow for the design and optimization of novel electromagnetic and wireless systems at unprecedented scales, and contribute through education to the advancement of understanding.
Our recent research focus on four interrelated areas: (1) classical electromagnetism with scalable algorithms, (2) statistical electromagnetics integrating order and chaos, (3) quantum electromagnetics: simulating probability in space and time domain, and (4) Smart Radio Environments for NextG wireless systems.
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# Research Topics
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@ -46,7 +46,7 @@ The main objective of this work is to investigate new fundamental mathematical m
Fusing electromagnetic models with quantum computing (QC) algorithms for rapid optimization of reconfigurable intelligent surfaces (RIS)-assisted beyond-5G/6G wireless networks.
@ -13,7 +13,7 @@ The goal of this research is to investigate first-principles modeling and analys
In recent years, domain decomposition (DD) methods have enjoyed considerable success in solving large multi-scale EM problems. These methods feature divide-and-conquerin solution algorithms (applying the most suitable solution strategy to solve each sub-problem) and plug-in-play in software architectures (integrating individual EM solvers into a portable and extensible solution suite). They also result in highly efficient and naturally parallelizable algorithms on distributed memory many-core parallel computing systems.
@ -12,6 +12,8 @@ One basic research I have conducted is the pursuit of robust and yet efficient w
Ever-increasing fidelity and accuracy need for advanced EM applications have been pushing the problem sizestowards extreme scales. It puts a high premium on investigation of high-performance algorithms with optimal computational complexity. Moreover, increased demands are being placed on an integrated design andanalysis environment, which requires new simulation tools to be well integrated into design processes. Here,I briefly summarize my research contributions in the high-resolution and high-performance algorithms, whereboth simulation capability and modeling fidelity scale with the exponential growth in computing power.
The objective of this work is to investigate a high-resolution and first-principles computationalmethodology for mmWave propagation channels in realistic usage scenarios.The work provides unprecedented resolution in deterministic channel modeling, andoffers a fundamental knowledge of mmWave channel characteristics and propagation behavior. Theadvancements are expected to initiate the transition from traditional ray-based high-frequency approximation to EM field-based full wave modeling methodology.
@ -15,11 +15,11 @@ Even though we are seeking the highest possible fidelity, the computer represent
Wave chaos concerns solutions of wave equations, which in the semiclassical limit or short-wavelength limit can be described by chaotic ray trajectories. One representative class of wave-chaotic problems is confined EM systems, e.g. the antennas and electronics within large and complicated enclosures. In the high-frequency regime, the complex boundary of the enclosure can lead to high modal density and high modal overlap. Wave solutions inside these enclosures show strong fluctuations that are extremely sensitive to the exact geometry of the enclosure, the location of internal electronics, and the operating frequency. The extreme sensitivity and nonequilibrium nature make it a challenging task to analyze the uncertain behavior of the interactions. The fundamental difficulty of treating classically non-integrable systems has been precisely realized by the applied physics community. The chaotic dynamics have been discussed in the context of acoustics, electromagnetics, and quantum mechanics.
This project investigates an innovative theoretical solution to Maxwell’s Equations in the wave chaotic (random, diffusive) media. The fundamental solution, named stochastic Green’s function, rigorously integrates the coherent and incoherent contributions within a unified compact form. Furthermore, by incorporating the component-, site-, system-specific information with the universal chaotic dynamics, the work accomplishes a comprehensive framework for thestatistical analysis and uncertainty quantification of complex wave systems. The advancements will achieve first-ever an imperative simulation-driven, design-under-chaos capability, and a virtual experimental facility statisticallyreplicating real-world wave propagation environments.
Along the line of research, we have advanced the theory of SGF from the spatial domain (narrowband) to broadband frequency domain and delay-Doppler domain. The work accomplishes a physics-oriented, mathematically tractable statistical wave model with diverse applications, including the mode-stirred reverberation chamber (2019 IEEE EMC Symposium Best Paper Award), EMC/EMI of electronic systems (2021 EPEPS Best Paper Award), information transmission in wave-chaotic indoor channels, statistical design of time-reversal systems, wavefront shaping and focusing, sensing and targeting.
title: Quantum Computing and Optimization in Smart Radio Environments
permalink: /research/Quantum-optimization-RIS/
permalink: /research/quantum-optimization-RIS/
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# Quantum Computing and Optimization in Smart Radio Environments
@ -21,7 +21,7 @@ To harness the full potential of a RIS-enabled smart wireless environment, one n
The scientific contribution in this work is a physics-oriented, mathematically tractable computational framework for optimizing RIS configuration in complex radio environments. Such optimization is performed without the need to estimate the segmented channels that link the transmitter to the RIS and the RIS to the receiver. The new idea starts with expressing the power of end-to-end channel transfer function as an Ising Hamiltonian model. A hybrid classical-quantum computing model is proposed next to navigate the RIS configuration space and to rapidly optimize the RIS state in a multipath radio environment. Compared to the state-of-the-art solutions, we show that the Ising Hamiltonian model serves as a unified mathematical model describing wave physics in the RIS-assisted wireless network. By leveraging the computing power of quantum adiabatic evolution and mathematics of tensor contraction, the channel estimation and optimization can be completed in the order of milliseconds. The outcomes enable the possibility of ultrafast optimization adapting to dynamic wireless environments.
We believe that the physics of complex systems fused with quantum computing will constitute a game changer in the modeling and design of large network of RIS devices cooperating in order to transform real-life propagation environments into a resource for future mobile networks, including SONs and cell-free networks.
