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Open access publications by faculty, postdocs, and graduate students in the Department of Electrical and Computer Engineering
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Item Joint Beam and Power Control for Millimeter-Wave Multi-Flow Multi-Hop Networks(IEEE Communications Letters, 2024-08-16) Liu, Yanming; Mao, Haobin; Zhu, Lipeng; Xiao, Zhenyu; Xia, Xiang-GenThis letter investigates the joint beam and power control in multi-flow multi-hop networks with millimeter-wave (mmWave) directional transmissions. To guarantee fairness among multiple data flows, an optimization problem is formulated to maximize the minimum of the achievable rates for all flows by jointly optimizing three-dimensional (3D) antenna boresights and transmit powers. To address the non-convex problem, we employ the block coordinate descent (BCD) method to solve two subproblems iteratively. Specifically, each iteration involves solving the transmit power control subproblem by using successive convex approximation (SCA) techniques. Then, suboptimal antenna boresights, including the azimuth and elevation angles for multiple transmitters, are obtained by using a tailored particle swarm optimization (PSO) algorithm. The simulation results reveal the effectiveness and superiority of the proposed algorithm in enhancing the minimum end-to-end achievable rate (E2EAR) compared to the benchmark schemes.Item Beam Structured Channel Estimation for HF Skywave Massive MIMO-OFDM Communications(IEEE Transactions on Wireless Communications, 2024-08-14) Shi, Ding; Song, Linfeng; Gao, Xiqi; Wang, Jiaheng; Bengtsson, Mats; Li, Geoffrey Ye; Xia, Xiang-GenIn this paper, we investigate high frequency (HF) skywave massive multiple-input multiple-output (MIMO) communications with orthogonal frequency division multiplexing (OFDM) modulation. Based on the triple-beam (TB) based channel model and the channel sparsity in the TB domain, we propose a beam structured channel estimation (BSCE) approach. Specifically, we show that the space-frequency-time (SFT) domain estimator design for each TB domain channel element can be transformed into that of a low-dimensional TB domain estimator and the resulting SFT domain estimator is beam structured. We also present a method to select the TBs used for BSCE. Then we generalize the proposed BSCE by introducing window functions and a turbo principle to achieve a superior trade-off between complexity and performance. Furthermore, we present a low-complexity design and implementation of BSCE by exploiting the characteristics of the TB matrix. Simulation results validate the proposed theory and methods.Item An Efficient Refocusing Method for Ground Moving Targets in Multichannel SAR Imagery(IEEE Geoscience and Remote Sensing Letters, 2024-08-02) Ma, Jingtao; Xia, Xiang-Gen; Wang, Jiannan; Tao, Haihong; Liao, Guisheng; Huang, PenghuiThis letter proposes a fast Doppler parameter estimation and refocusing method for ground moving targets in a synthetic aperture radar (SAR) system. In the proposed method, after implementing the main-lobe clutter rejection by using the azimuth adaptive processing technique, the range-azimuth positions of smeared target scatterers can be obtained via the constant false alarm rate (CFAR) detection. Then, an autocorrelation function is constructed to transform a moving target signal into the time-frequency plane, where the target parameters can be precisely and efficiently estimated by applying the scaled fast Fourier transform (FFT). Finally, ground moving targets can be well refocused and relocated in a SAR imagery. Compared with the conventional methods, the target output SNR can be enlarged about 3 dB under the low SNR by using the proposed parameter estimation method.Item Transformer-Based Band Regrouping With Feature Refinement for Hyperspectral Object Tracking(IEEE Transactions on Geoscience and Remote Sensing, 2024-06-27) Wang, Hanzheng; Li, Wei; Xia, Xiang-Gen; Du, Qian; Tian, Jing; She, QingHyperspectral videos (HSVs) offer not only spatial information but also diagnostic spectral features. Due to the fact that spectral features are only related to the material of the object, this advantage can address the issue of RGB video tracking failure when the object and background are visually similar. However, the effectiveness of deep learning models is limited due to insufficient HSV training data. Existing methods tend to divide a hyperspectral image (HSI) into several three-channel false-color images to leverage the existing RGB trackers for transfer learning. Nonetheless, these methods lack adequate exploration of band interrelations and overlook correlation among objects prior to similarity calculation. In this article, a transformer-based band regrouping and feature refinement network (TBR-Net) is introduced, which is specifically tailored for hyperspectral object tracking. To maximize the potential of the RGB tracker and enhance the use of available training data, we propose a transformer-based band regrouping (TBR) method. By modeling long-range spectral dependencies, the inherent context information among bands is captured, which is subsequently utilized to reorganize bands into several false-color images. Furthermore, to combine the relationship of the template and the search (T & S) frames into a correlation calculation, a feature refinement module (FRM) is designed. The cross-attention mechanism enables mutual relation modeling, allowing similar regions to be perceived and form discriminative feature representation. As a result, a hyperspectral tracker can be efficiently trained via transfer learning to address the data insufficiency challenge, while the mutual perception between objects further enhances the tracking performance. Its effectiveness is validated by extensive benchmark experiments, which demonstrate that the TBR-Net surpasses state-of-the-art methods.Item Minimum BLER NOMA Design with Finite Blocklength(IEEE Transactions on Wireless Communications, 2024-05-29) Zhong, Tianying; Wang, Yuan; Wang, Jiaheng; Xia, Xiang-Gen; Gao, XiqiNon-orthogonal multiple access (NOMA) has been considered as a promising technology for enabling massive connectivity and achieving high spectral efficiency in future wireless communication. In the literature, most of the existing NOMA schemes are designed with the assumption of infinite blocklength, which may lead to suboptimal performance in practical communication systems. Thus, this paper investigates the downlink NOMA system with finite blocklength (FBL) transmission, namely the downlink FBL-NOMA system. We focus on developing a joint resource allocation scheme from single-channel to multi-channel systems, aiming at minimizing the average block error rate (BLER) for the downlink FBL-NOMA. Specifically, for single-channel systems, the optimal rate and power allocation scheme are derived in semi-closed form. For multi-channel systems, we conduct the convexity analysis of the minimum BLER problem and provide the optimal solution in waterfilling form for convex cases, as well as an efficient majorization-minimization (MM)-based algorithm for general cases. We also propose an efficient method to jointly optimize channel assignment, rate allocation, and power allocation for multi-channel FBL-NOMA systems. Simulation results demonstrate the superiority of the proposed designs over the existing NOMA and orthogonal multiple access (OMA) schemes in terms of reliability and efficiency.Item Distinct melanocyte subpopulations defined by stochastic expression of proliferation or maturation programs enable a rapid and sustainable pigmentation response(PLoS Biology, 2024-08-20) Aggarwal, Ayush; Nasreen, Ayesha; Sharma, Babita; Sahoo, Sarthak; Aswin, Keerthic; Faruq, Mohammed; Pandey, Rajesh; Jolly, Mohit K.; Singh, Abhyudai; Gokhale, Rajesh S.; Natarajan, Vivek T.The ultraviolet (UV) radiation triggers a pigmentation response in human skin, wherein, melanocytes rapidly activate divergent maturation and proliferation programs. Using single-cell sequencing, we demonstrate that these 2 programs are segregated in distinct subpopulations in melanocytes of human and zebrafish skin. The coexistence of these 2 cell states in cultured melanocytes suggests possible cell autonomy. Luria–Delbrück fluctuation test reveals that the initial establishment of these states is stochastic. Tracking of pigmenting cells ascertains that the stochastically acquired state is faithfully propagated in the progeny. A systemic approach combining single-cell multi-omics (RNA+ATAC) coupled to enhancer mapping with H3K27 acetylation successfully identified state-specific transcriptional networks. This comprehensive analysis led to the construction of a gene regulatory network (GRN) that under the influence of noise, establishes a bistable system of pigmentation and proliferation at the population level. This GRN recapitulates melanocyte behaviour in response to external cues that reinforce either of the states. Our work highlights that inherent stochasticity within melanocytes establishes dedicated states, and the mature state is sustained by selective enhancers mark through histone acetylation. While the initial cue triggers a proliferation response, the continued signal activates and maintains the pigmenting subpopulation via epigenetic imprinting. Thereby our study provides the basis of coexistence of distinct populations which ensures effective pigmentation response while preserving the self-renewal capacity.Item A Universal Electric Vehicle Outlet and Portable Cable for North America(World Electric Vehicle Journal, 2024-08-06) Kempton, Willett; McGee, Rodney T.; Ejzak, Garrett A.For electric vehicle (EV) charging in North America, three AC connectors are standardized, resulting in a proliferation of charging stations which can only charge one of the three types of EV. We propose a “Universal EV Outlet” that works with an EV “carry along” charging cable—one end of the cable has a connector specific to that user’s EV, the other a plug for the Universal EV Outlet. This proposal does not interfere with, nor require change to, any existing charging stations. It does not require any new types of inlets on EVs. The components are already standardized. Eight use cases are examined to illustrate the advantages, and some limitations, of the Universal EV Outlet. The use cases illustrate how this solution: resolves the problem of multiple AC charging connectors, makes today’s “EV Ready” building codes more adaptable, lowers capital and maintenance costs, creates a solution to curbside and urban charging, increases energy efficiency, enables higher power three-phase AC charging for heavy vehicles, and facilitates use of EVs for building backup power and for vehicle-to-grid. Finally, we propose a standards-based active cable used with the Universal EV Outlet, which would allow fast and secure EV identification for curbside or other shared charging locations, usable today without modifications to current EVs.Item Thermally reliable compact electro-optic modulators with a low half-wave voltage(Optics Continuum, 2024-06-11) Afsary, Noor; Alam, Md Koushik; Rasel, Md Omar Faruk; Ishigure, TakaakiRecent advancements in thin-film lithium niobate have led to the development of high-performance integrated electro-optic modulators, which are crucial for modern optical communication systems. These modulators offer tighter mode confinement, a smaller physical footprint, and reduced modulating voltages. This study presents a Mach-Zehnder modulator (MZM) on a silicon nitride-loaded lithium niobate platform using a few-mode waveguide structure. By harnessing the exceptional thermo-optic and electro-optic effects of LiNbO3, we design and simulate this modulator employing multilayer structures with the BeamPROP solver. The modulator has a length of 3.94 mm, a Vπ value of 0.96 V, and a transition temperature (Tg) of 80 °C at 1.55 µm. This proposed modulator exhibits a crosstalk of approximately -42 dB, an extinction ratio of approximately 24 dB, and a maximum transmission of -28 dB for the first-order phase shift. These findings demonstrate the significant potential of this modulator for deployment in high-speed optical communication systems, where maintaining thermal stability and optimizing energy efficiency are paramount.Item Superfluid helium ultralight dark matter detector(Physical Review D, 2024-05-10) Hirschel, M.; Vadakkumbatt, V.; Baker, N. P.; Schweizer, F. M.; Sankey, J. C.; Singh, S.; Davis, J. P.The absence of a breakthrough in directly observing dark matter (DM) through prominent large-scale detectors motivates the development of novel tabletop experiments probing more exotic regions of the parameter space. If DM contains ultralight bosonic particles, they would behave as a classical wave and could manifest through an oscillating force on baryonic matter that is coherent over ∼106 periods. Our Helium ultraLIght dark matter Optomechanical Sensor (HeLIOS) uses the high-𝑄 acoustic modes of superfluid helium-4 to resonantly amplify this signal. A superconducting reentrant microwave cavity enables sensitive optomechanical readout ultimately limited by thermal motion at millikelvin temperatures. Pressurizing the helium allows for the unique possibility of tuning the mechanical frequency to effectively broaden the DM detection bandwidth. We demonstrate the working principle of our prototype HeLIOS detector and show that future generations of HeLIOS could explore unconstrained parameter space for both scalar and vector ultralight DM after just an hour of integration time.Item Ultrawideband Modular RF Frontend Development for Photonically Enabled Imaging Receiver(IEEE Microwave and Wireless Technology Letters, 2024-05-07) Shi, Shouyuan; Wang, Fuquan; Abney, Jeremy; Aranda, Zion D.; Schneider, Garrett J.; Schuetz, Christopher; Harrity, Charles; Shreve, Kevin; Zablocki, Mathew; Dontamsetti, Samhit; Lawrence, Robert; Prather, Dennis W.This letter presents a modular-based RF frontend developed for photonically enabled phased-array systems that are capable of ultrawideband (UWB) operation from microwave to millimeter-wave (mmW) frequencies. The 1×8 modular architecture with integrated antennas, low-noise amplifiers (LNAs), and electrooptic modulators is reconfigurable and scalable to form 2-D phased arrays of any size. The developed phased-array system demonstrates the ability to process multiple wide-bandwidth RF beams simultaneously, yielding unmatched beam-bandwidth product (BBP).Item Gallium-incorporated TiO2 thin films by atomic layer deposition for future electronic devices(Frontiers in Materials, 2024-06-13) Sun, Qingxuan; Lin, Yingzhen; Han, Chaoya; Yang, Ze; Li, Ying; Zeng, Yuping; Yang, Weifeng; Zhang, JieTitanium dioxide (TiO2) with advantages including abundance in earth, non-toxicity, high chemical stability, surface hydrophobicity in dark, and extremely high permittivity could be highly promising for advanced electronics. However, the thermal stability and low bandgap (Eg) of TiO2 pose a big challenge for TiO2 to be used as dielectric, which could be resolved by doping with other metal cations. In this work, we studied the impact of gallium incorporation on electrical and material characteristics of TiO2 thin films. These TiO2 and TiXGaO films with thickness of 15 nm were derived by atomic layer deposition (ALD) and then annealed in O2 ambient at 500°C, where the levels of Ga incorporation were tuned by the cycle ratio (X) of TiO2 to that of Ga2O3 during ALD growth. Both thin film transistors (TFTs) using TiXGaO (TiO2) thin films as the channel and metal-oxide semiconductor capacitors (MOSCAPs) using TiXGaO (TiO2) thin films as the dielectric were fabricated to unravel the impact of Ga incorporation on electrical properties of TiO2 thin films. It is found that the Ga incorporation reduces the conductivity of TiO2 thin films significantly. Pure TiO2 thin films could be the ideal channel material for TFTs with excellent switching behaviors whereas Ga-incorporated TiO2 thin films could be the dielectric material for MOSCAPs with good insulating properties. The leakage current and dielectric constant (k) value are also found to be decreased with the increased Ga content in TiXGaO/Si MOSCAPs. Additionally, the density of interface trap (Dit) between TiXGaO and Si were extracted by multi-frequency conductance method, where a “U-shape” trap profile with similar level of Dit values can be observed for TiXGaO MOSCAPs with varying Ga contents. Material characterizations show that the Ga incorporation destabilizes the crystallization and enlarges the bandgap (Eg) of TiO2 while maintaining a smooth surface. Interestingly, Ga incorporation is found to decrease the overall oxygen content and introduce more oxygen-related defects in the film. As a result, the reduction of leakage current upon Ga incorporation in MOSCAPs could be explained by amorphization of the film and enlarged band offset to Si rather than oxygen defect passivation. These Ga-incorporated TiO2 films may found promising usage in future electronic device applications such as trench capacitors in dynamic random-access memory, where the emerging high-k dielectrics with low leakage currents and high thermal stability are demanded.Item Ergodic Sum Rate Capacity Achieving Transmit Design for Massive MIMO LEO Satellite Uplink Transmission(IEEE Transactions on Aerospace and Electronic Systems, 2024-02-16) Li, Ke-Xin; Gao, Xiqi; Xia, Xiang-GenIn this paper, we investigate the ergodic sum rate (ESR) capacity achieving uplink (UL) transmit design for massive multiple-input multiple-output (MIMO) low- earth-orbit (LEO) satellite communications with statistical channel state information at the user terminals (UTs). The UL massive MIMO LEO satellite channel model with uniform planar array configurations at the satellite and UTs is presented. We prove that the rank of each UT's optimal transmit covariance matrix does not exceed that of its channel correlation matrix at the UT side, which reveals the maximum number of independent data streams transmitted from each UT to the satellite. We then prove that the transmit covariance matrix design can be transformed into the lower-dimensional matrix design without loss of optimality. We also obtain a necessary and sufficient condition when single data stream transmission from each UT to the satellite can achieve the ESR capacity. A conditional gradient (CG) method is developed to compute the ESR capacity achieving transmit covariance matrices. Furthermore, to avoid the exhaustive sample average, we utilize an asymptotic expression of the ESR and devise a simplified CG method to compute the transmit covariance matrices, which can approximate the ESR capacity. Simulations demonstrate the effectiveness of the proposed approaches.Item Precoder Design for Massive MIMO Downlink With Matrix Manifold Optimization(IEEE Transactions on Signal Processing, 2024-02-12) Sun, Rui; Wang, Chen; Lu, An-An; Gao, Xiqi; Xia, Xiang-GenWe investigate the weighted sum-rate (WSR) maximization linear precoder design for massive multiple-input multiple-output (MIMO) downlink. We consider a single-cell system with multiple users and propose a unified matrix manifold optimization framework applicable to total power constraint (TPC), per-user power constraint (PUPC) and per-antenna power constraint (PAPC). We prove that the precoders under TPC, PUPC and PAPC are on distinct Riemannian submanifolds, and transform the constrained problems in Euclidean space to unconstrained ones on manifolds. In accordance with this, we derive Riemannian ingredients, including orthogonal projection, Riemannian gradient, Riemannian Hessian, retraction and vector transport, which are needed for precoder design in the matrix manifold framework. Then, Riemannian design methods using Riemannian steepest descent, Riemannian conjugate gradient and Riemannian trust region are provided to design the WSR-maximization precoders under TPC, PUPC or PAPC. Riemannian methods do not involve the inverses of the large dimensional matrices during the iterations, reducing the computational complexities of the algorithms. Complexity analyses and performance simulations demonstrate the advantages of the proposed precoder design.Item STATION: State Encoding-Based Attack-Resilient Sequential Obfuscation(IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024-04-16) Han, Zhaokun; Dixit, Aneesh; Patnaik, Satwik; Rajendran, JeyavijayanThe unauthorized duplication of design intellectual property (IP) and illegal overproduction of integrated circuits (ICs) are hardware security threats plaguing the security of the globalized IC supply chain. Researchers have developed various countermeasures such as logic locking, layout camouflaging, and split manufacturing to overcome the security threat of IP piracy and unauthorized overproduction. Logic locking is a holistic solution among all countermeasures since it safeguards the design IP against untrusted entities, such as untrusted foundries, test facilities, or end-users throughout the globalized IC supply chain. There are well-known logic locking techniques for combinational circuits with well-established security properties; however, their sequential counterparts remain vulnerable. Since most practical designs are inherently sequential, it is essential to develop secure obfuscation techniques to protect sequential designs. This paper proposes a sequential obfuscation technique, STATION, building on the principles of finite state machine encoding schemes. STATION is resilient against various attacks on sequential obfuscation–input-output (I/O) query attacks and structural attacks, including the ones targeting sequential obfuscation–which have broken all state-of-the-art sequential obfuscation techniques. STATION achieves good resilience and desired security against various I/O and structural attacks, which we ascertain by launching 9 different attacks on all tested circuits. Moreover, STATION ensures tolerable overheads in power, performance, and area, such as 8.75%, 1.22%, and 5.63% on the largest tested circuit, containing 102 inputs, 7 outputs, 6.1×104 gates, 7 flip flops, 100 states, and 3.0×103 transitions.Item Wide-angle passive beam steering using 3D modified partial Maxwell fisheye lens(Optics Express, 2024-02-12) Fessaras, Theodore; Nicholson, Kelvin; Gong, Wiley; Mirotznik, MarkThis study presents a broadband, 3D gradient index beam-steering lens, derived from an optimized modification of the partial Maxwell fisheye (PMFE) design, achieving a boresight gain of 23 dBi, -80° to 80° beam steering, and <10 dB gain roll-off. Utilizing fused filament fabrication (FFF) to realize its intricate geometry, the design employs a novel polar space-filling curve (PSFC) to establish a 3D varying, effective permittivity distribution. Rigorous simulations and experimental validation attest to its effectiveness, marking the first 3D implementation of a PMFE-type lens to our knowledge. This research underscores the feasibility and diverse applications of a low-cost, wide-angle passive beam-steering dielectric lens.Item Melting-free integrated photonic memory with layered polymorphs(Nanophotonics, 2024-01-31) Ullah, Kaleem; Li, Qiu; Li, Tiantian; Gu, TingyiChalcogenide-based nonvolatile phase change materials (PCMs) have a long history of usage, from bulk disk memory to all-optic neuromorphic computing circuits. Being able to perform uniform phase transitions over a subwavelength scale makes PCMs particularly suitable for photonic applications. For switching between nonvolatile states, the conventional chalcogenide phase change materials are brought to a melting temperature to break the covalent bonds. The cooling rate determines the final state. Reversible polymorphic layered materials provide an alternative atomic transition mechanism for low-energy electronic (small domain size) and photonic nonvolatile memories (which require a large effective tuning area). The small energy barrier of breaking van der Waals force facilitates low energy, fast-reset, and melting-free phase transitions, which reduces the chance of element segregation-associated device failure. The search for such material families starts with polymorphic In2Se3, which has two layered structures that are topologically similar and stable at room temperature. In this perspective, we first review the history of different memory schemes, compare the thermal dynamics of phase transitions in amorphous-crystalline and In2Se3, detail the device implementations for all-optical memory, and discuss the challenges and opportunities associated with polymorphic memory.Item Integrative data analysis to identify persistent post-concussion deficits and subsequent musculoskeletal injury risk: project structure and methods(BMJ Open Sport & Exercise Medicine, 2024-01-19) Anderson, Melissa; Claros, Claudio Cesar; Qian, Wei; Brockmeier, Austin; Buckley, Thomas AConcussions are a serious public health problem, with significant healthcare costs and risks. One of the most serious complications of concussions is an increased risk of subsequent musculoskeletal injuries (MSKI). However, there is currently no reliable way to identify which individuals are at highest risk for post-concussion MSKIs. This study proposes a novel data analysis strategy for developing a clinically feasible risk score for post-concussion MSKIs in student-athletes. The data set consists of one-time tests (eg, mental health questionnaires), relevant information on demographics, health history (including details regarding the concussion such as day of the year and time lost) and athletic participation (current sport and contact level) that were collected at a single time point as well as multiple time points (baseline and follow-up time points after the concussion) of the clinical assessments (ie, cognitive, postural stability, reaction time and vestibular and ocular motor testing). The follow-up time point measurements were treated as individual variables and as differences from the baseline. Our approach used a weight-of-evidence (WoE) transformation to handle missing data and variable heterogeneity and machine learning methods for variable selection and model fitting. We applied a training-testing sample splitting scheme and performed variable preprocessing with the WoE transformation. Then, machine learning methods were applied to predict the MSKI indicator prediction, thereby constructing a composite risk score for the training-testing sample. This methodology demonstrates the potential of using machine learning methods to improve the accuracy and interpretability of risk scores for MSKI.Item 3-D-Printed CRLH Metamaterial-Enabled Electrically Small Antenna(IEEE Antennas and Wireless Propagation Letters, 2023-11-29) Li, Shuping; Lazarus, Nathan; Klemash, Mary E. Galanko; Bedair, Sarah S.; Wu, Chung-Tse MichaelThis letter presents a 3-D-printed composite right/left-handed (CRLH) metamaterial-enabled electrically small antenna (ESA) in the 300 MHz band. A 3-D conical helix strip is loaded by surrounding an electrical small monopole antenna, with a length of 0.02 λ0 (free space wavelength), which is vertically placed over a finite ground plane. The proposed ESA is based on the 3-D realization of an open-ended CRLH resonator, of which the electrical size is ka = 0.11. An equivalent circuit model is provided with corresponding circuit parameters to derive the frequency response of the proposed 3-D-CRLH ESA. A prototype is fabricated using a widely available 3-D print technology, fused filament fabrication, combined with copper electro- and electroless plating. Experimental verification of the antenna demonstrates a monopole-like radiation pattern with a peak measured gain of −5 dBi, which is suitable to be integrated into compact wireless systems.Item Roadmap on energy harvesting materials(Journal of Physics: Materials, 2023-08-07) Pecunia, Vincenzo; Silva, S. Ravi; Phillips, Jamie D.; Artegiani, Elisa; et al.Ambient energy harvesting has great potential to contribute to sustainable development and address growing environmental challenges. Converting waste energy from energy-intensive processes and systems (e.g. combustion engines and furnaces) is crucial to reducing their environmental impact and achieving net-zero emissions. Compact energy harvesters will also be key to powering the exponentially growing smart devices ecosystem that is part of the Internet of Things, thus enabling futuristic applications that can improve our quality of life (e.g. smart homes, smart cities, smart manufacturing, and smart healthcare). To achieve these goals, innovative materials are needed to efficiently convert ambient energy into electricity through various physical mechanisms, such as the photovoltaic effect, thermoelectricity, piezoelectricity, triboelectricity, and radiofrequency wireless power transfer. By bringing together the perspectives of experts in various types of energy harvesting materials, this Roadmap provides extensive insights into recent advances and present challenges in the field. Additionally, the Roadmap analyses the key performance metrics of these technologies in relation to their ultimate energy conversion limits. Building on these insights, the Roadmap outlines promising directions for future research to fully harness the potential of energy harvesting materials for green energy anytime, anywhere.Item Joint Equalization and Self-Interference Cancellation for Underwater Acoustic In-Band Full-Duplex Communication(IEEE Journal of Oceanic Engineering, 2024-01-11) Towliat, Mohammad; Guo, Zheng; Cimini, Leonard J.; Xia, Xiang-Gen; Song, AijunIn-band full-duplex (IBFD) communication in underwater acoustic channels is challenged by strong and time-varying self-interference (SI). To detect data symbols, the receiver needs to suppress the SI and equalize the resultant signal to compensate for the intersymbol interference (ISI) caused by the remote transmission (RT) channel. In this article, we develop a new receiver that combines adaptive decision feedback equalizer and SI cancellation (ADFE-SIC) to jointly eliminate the ISI and SI. A recursive least squares algorithm adaptively estimates the filters in ADFE-SIC. By conducting simulations and experimental tests, we show that the proposed method outperforms the conventional approach in which equalization and SI cancellation tasks are performed separately and the filter configuration is based on prior estimations of the SI and the RT channels.