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Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective ComputingMay 16 2019In recent years, the use of bio-sensing signals such as electroencephalogram (EEG), electrocardiogram (ECG), etc. have garnered interest towards applications in affective computing. The parallel trend of deep-learning has led to a huge leap in performance ... More
Occupancy Estimation Using Low-Cost Wi-Fi SniffersMay 16 2019Real-time measurements on the occupancy status of indoor and outdoor spaces can be exploited in many scenarios (HVAC and lighting system control, building energy optimization, allocation and reservation of spaces, etc.). Traditional systems for occupancy ... More
Deep Compressed SensingMay 16 2019Compressed sensing (CS) provides an elegant framework for recovering sparse signals from compressed measurements. For example, CS can exploit the structure of natural images and recover an image from only a few random measurements. CS is flexible and ... More
Dynamics of Quadrotor UAVs for Aerial Networks: An Energy PerspectiveMay 16 2019In this letter, we present a model for quadrotor unmanned aerial vehicles (UAVs), including control, communication, and wireless charging. In so doing, we investigate associated energy and battery dynamics. Indeed, energy and battery expressions are derived ... More
A low-complexity WMMSE algorithm for power allocation in multicarrier NOMA-FD systemsMay 16 2019In this paper, we study the power and channel allocation problem for multicarrier non-orthogonal multiple access (NOMA) full duplex (FD) systems. Owing to the presence of multiple interfering users transmitting over the same channel, the considered allocation ... More
Low-Complexity OFDM Spectral PrecodingMay 16 2019This paper proposes a new large-scale mask-compliant spectral precoder (LS-MSP) for orthogonal frequency division multiplexing systems. In this paper, we first consider a previously proposed mask-compliant spectral precoding scheme that utilizes a generic ... More
Quality-based Pulse Estimation from NIR Face Video with Application to Driver MonitoringMay 16 2019In this paper we develop a robust for heart rate (HR) estimation method using face video for challenging scenarios with high variability sources such as head movement, illumination changes, vibration, blur, etc. Our method employs a quality measure Q ... More
Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network RegressionMay 15 2019Purpose: Arterial Spin Labeling (ASL) is a quantitative, non-invasive alternative to perfusion imaging with contrast agents. Fixing values of certain model parameters in traditional ASL, which actually vary from region to region, may introduce bias in ... More
Performance Analysis of SPAD-based OFDMMay 15 2019In this paper, an analytical approach for the nonlinear distorted bit error rate performance of optical orthogonal frequency division multiplexing (O-OFDM) with single photon avalanche diode (SPAD) receivers is presented. Major distortion effects of passive ... More
Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian ProcessesMay 15 2019Wireless traffic prediction is a fundamental enabler to proactive network optimisation in 5G and beyond. Forecasting extreme demand spikes and troughs is essential to avoiding outages and improving energy efficiency. However, current forecasting methods ... More
A general-purpose deep learning approach to model time-varying audio effectsMay 15 2019Audio processors whose parameters are modified periodically over time are often referred as time-varying or modulation based audio effects. Most existing methods for modeling these type of effect units are often optimized to a very specific circuit and ... More
Integration of SCADA services in cross-infrastructure holistic tests of cyber-physical energy systemsMay 15 2019Cyber-Physical Energy System, due to its multi-domain nature, requires a holistic validation methodology, which may involve the integration of assets and expertise from various research infrastructures. In this paper, the integration of Supervisory Control ... More
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methodsMay 15 2019It is widely accepted that optimization of medical imaging system performance should be guided by task-based measures of image quality (IQ). Task-based measures of IQ quantify the ability of an observer to perform a specific task such as detection or ... More
Performance Analysis of Non-DC-Biased OFDMMay 14 2019The performance analysis of a novel optical modulation scheme is presented in this paper. The basic concept is to transmit signs of modulated optical orthogonal frequency division multiplexing (O-OFDM) symbols and absolute values of the symbols separately ... More
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel UncertaintiesMay 14 2019Recently, multi-user multiple input multiple output (MU-MIMO) systems with low-resolution digital-to-analog converters (DACs) has received considerable attention, owing to the capability of dramatically reducing the hardware cost. Besides, it has been ... More
LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCsMay 14 2019This paper develops a new deep neural network optimized equalization framework for massive multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems that employ low-resolution analog-to-digital converters (ADCs) at ... More
Sample Efficient Toeplitz Covariance EstimationMay 14 2019May 15 2019We study the sample complexity of estimating the covariance matrix $T$ of a distribution $\mathcal{D}$ over $d$-dimensional vectors, under the assumption that $T$ is Toeplitz. This assumption arises in many signal processing problems, where the covariance ... More
Sample Efficient Toeplitz Covariance EstimationMay 14 2019We study the query complexity of estimating the covariance matrix $T$ of a distribution $\mathcal{D}$ over $d$-dimensional vectors, under the assumption that $T$ is Toeplitz. This assumption arises in many signal processing problems, where the covariance ... More
A Novel Beamformed Control Channel Design for LTE with Full Dimension-MIMOMay 14 2019The Full Dimension-MIMO (FD-MIMO) technology is capable of achieving huge improvements in network throughput with simultaneous connectivity of a large number of mobile wireless devices, unmanned aerial vehicles, and the Internet of Things (IoT). In FD-MIMO, ... More
Multiservice UAVs for Emergency Tasks in Post-disaster ScenariosMay 14 2019UAVs are increasingly being employed to carry out surveillance, parcel delivery, communication-support and other specific tasks. Their equipment and mission plan are carefully selected to minimize the carried load an overall resource consumption. Typically, ... More
UAV Swarm-Enabled Aerial CoMP: A Physical Layer Security PerspectiveMay 14 2019Unlike aerial base station enabled by a single unmanned aerial vehicle (UAV), aerial coordinated multiple points (CoMP) can be enabled by a UAV swarm. In this case, the management of multiple UAVs is important. This paper considers the power allocation ... More
Comparison-limited Vector QuantizationMay 14 2019A variation of the classic vector quantization problem is considered, in which the analog-to-digital (A2D) conversion is not constrained by the cardinality of the output but rather by the number of comparators available for quantization. More specifically, ... More
Study of Channel Estimation with Oversampling for 1-bit Large-Scale MIMO SystemsMay 13 2019In this paper, we propose an oversampling based low-resolution aware least squares channel estimator for large-scale multiple-antenna systems with 1-bit analog-to-digital converters on each receive antenna. To mitigate the information loss caused by the ... More
Wireless Edge Computing with Latency and Reliability GuaranteesMay 13 2019Edge computing is an emerging concept based on distributing computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth generation (5G) wireless systems and beyond. While current state-of-the-art ... More
RF Chain Reduction for MIMO Systems: A Hardware PrototypeMay 13 2019RF chain circuits play a major role in digital receiver architectures, allowing passband communication signals to be processed in baseband. When operating at high frequencies, these circuits tend to be costly. This increased cost imposes a major limitation ... More
Current Mode Neuron for the Memristor based synapseMay 13 2019Due to many limitations of Von Neumann architecture such as speed, memory bandwidth, efficiency of global interconnects and increase in the application of artificial neural network, researchers have been pushed to look into alternative architectures such ... More
Modeling Of A Shallow Water Acoustic Communication ChannelMay 13 2019In these last years, many studies have focalized on the design of reliable underwater acoustic communication systems. However, the ocean acoustic communication channel exhibits strong amplitude and phase fluctuations and the phenomena of diffraction, ... More
Reconfigurable On-chip Photoconductive SwitchesMay 13 2019Microwave photonics uses light to carry and process microwave signals over a photonic link. However, light can instead be used as a stimulus to microwave devices that directly control microwave signals. Such optically controlled amplitude and phase-shift ... More
RLS Precoding for Massive MIMO Systems with Nonlinear Front-EndMay 13 2019To keep massive MIMO systems cost-efficient, power amplifiers with rather small output dynamic ranges are employed. They may distort the transmit signal and degrade the performance. This paper proposes a distortion aware precoding scheme for realistic ... More
Adversarial Examples for ElectrocardiogramsMay 13 2019Among all physiological signals, electrocardiogram (ECG) has seen some of the largest expansion in both medical and recreational applications with the rise of single-lead versions. These versions are embedded in medical devices and wearable products such ... More
Intelligent Physical Layer Security Approach for V2X CommunicationMay 13 2019Intelligent transportation systems (ITS) with advanced sensing and computing technologies are expected to support a whole new set of services including pedestrian and vehicular safety, internet access for vehicles, and eventually, driverless cars. Wireless ... More
Physical Layer Security for NOMA: Requirements, Merits, Challenges, and RecommendationsMay 13 2019May 14 2019Non-Orthogonal Multiple Access (NOMA) has been recognized as one of the most significant enabling technologies for future wireless systems due to its eminent spectral efficiency, ability to provide an additional degree of freedom for Ultra Reliable Low ... More
Physical Layer Security for NOMA: Requirements, Merits, Challenges, and RecommendationsMay 13 2019Non-Orthogonal Multiple Access (NOMA) has been recognized as one of the most significant enabling technologies for future wireless systems due to its eminent spectral efficiency, ability to provide an additional degree of freedom for Ultra Reliable Low ... More
Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water ConsumptionMay 13 2019People are living longer than ever due to advances in healthcare, and this has prompted many healthcare providers to look towards remote patient care as a means to meet the needs of the future. It is now a priority to enable people to reside in their ... More
Measurement-based VLC channel characterization for I2V communications in a real urban scenarioMay 13 2019Visible light communication (VLC) is nowadays envisaged as a promising technology to enable new classes of services in intelligent transportation systems ranging e.g. from assisted driving to autonomous vehicles. The assessment of the performance of VLC ... More
Phase-coherent lightwave communications with frequency combsMay 13 2019Fiber-optical networks are a crucial telecommunication infrastructure in society. Wavelength division multiplexing allows for transmitting parallel data streams over the fiber bandwidth, and coherent detection enables the use of sophisticated modulation ... More
Over the Sea UAV Based CommunicationMay 13 2019Unmanned Aerial Vehicle (UAV) aided wireless networks have been recently envisioned as a solution to provide a reliable, low latency cellular link for search and rescue operations over the sea. We propose three different network architectures, based on ... More
Massive MIMO Extensions to the COST 2100 Channel Model: Modeling and ValidationMay 13 2019To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility region (BS-VR) is proposed to model the appearance and disappearance ... More
Area Optimization with Non-linear Models in Core Mapping for System-on-ChipsMay 13 2019Linear models are regularly used for mapping cores to tiles in a chip. System-on-Chip (SoC) design requires integration of functional units with varying sizes, but conventional models only account for identical-sized cores. Linear models cannot calculate ... More
A DoA Estimation Based Robust Beam Forming Method for UAV-BS CommunicationMay 13 2019High data rate communication with Unmanned Aerial Vehicles (UAV) is of growing demand among industrial and commercial applications since the last decade. In this paper, we investigate enhancing beam forming performance based on signal Direction of Arrival ... More
Low Noise Non-Linear Equalization Using Neural Networks and Belief PropagationMay 13 2019Nonlinearities can be introduced into communication systems by the physical components such as the power amplifier, or during signal propagation through a nonlinear channel. These nonlinearities can be compensated by a nonlinear equalizer at the receiver ... More
Low Noise Non-Linear Equalization Using Neural Networks and Belief PropagationMay 13 2019May 14 2019Nonlinearities can be introduced into communication systems by the physical components such as the power amplifier, or during signal propagation through a nonlinear channel. These nonlinearities can be compensated by a nonlinear equalizer at the receiver ... More
An M-QAM Signal Modulation Recognition Algorithm in AWGN ChannelMay 13 2019Computing the distinct features from input data, before the classification, is a part of complexity to the methods of Automatic Modulation Classification (AMC) which deals with modulation classification was a pattern recognition problem. Although the ... More
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series PredictionMay 13 2019Reliable and accurate prediction of time series plays a crucial role in maritime industry, such as economic investment, transportation planning, port planning and design, etc. The dynamic growth of maritime time series has the predominantly complex, nonlinear ... More
Secure Hybrid Digital and Analog Precoder for mmWave Systems with low-resolution DACs and finite-quantized phase shiftersMay 13 2019Millimeter wave (mmWave) communication has been regarded as one of the most promising technologies for the future generation wireless networks because of its advantages of providing a ultra-wide new spectrum and ultra-high data transmission rate. To reduce ... More
Generative Modeling and Inverse Imaging of Cardiac Transmembrane PotentialMay 12 2019Noninvasive reconstruction of cardiac transmembrane potential (TMP) from surface electrocardiograms (ECG) involves an ill-posed inverse problem. Model-constrained regularization is powerful for incorporating rich physiological knowledge about spatiotemporal ... More
Coverage Enhancement for NLOS mmWave Links Using Passive ReflectorsMay 12 2019The future 5G networks are expected to use millimeter wave (mmWave) frequency bands to take advantage of large unused spectrum. However, due to the high path loss at mmWave frequencies, coverage of mmWave signals can get severely reduced, especially for ... More
Learning-based Resource Optimization in Ultra Reliable Low Latency HetNetsMay 12 2019In this paper, the problems of user offloading and resource optimization are jointly addressed to support ultra-reliable and low latency communications (URLLC) in HetNets. In particular, a multi-tier network with a single macro base station (MBS) and ... More
Ultra-small Cell Networks with Collaborative RF and Lightwave Power TransferMay 12 2019This paper investigates a hybrid radio frequency (RF)/visible light communication (VLC) ultra-small cell network consisting of multiple optical angle-diversity transmitters, one multi-antenna RF access point (AP), and multiple terminal devices. In the ... More
Terahertz-Band Ultra-Massive Spatial Modulation MIMOMay 12 2019The prospect of ultra-massive multiple-input multiple-output (UM-MIMO) technology to combat the distance problem at the Terahertz (THz)-band is considered. It is well-known that the very large available bandwidths at THz frequencies come at the cost of ... More
Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse ProblemsMay 12 2019Extracting information from nonlinear measurements is a fundamental challenge in data analysis. In this work, we consider separable inverse problems, where the data are modeled as a linear combination of functions that depend nonlinearly on certain parameters ... More
Mobile XR over 5G: A way forward with mmWaves and EdgeMay 11 2019This e-letter summarizes our most recent work and contributed approaches to increase the capacity, cut down on the latency and provide higher reliability in several extended reality (XR) scenarios. To that end, several technologies from emerging 5G communications ... More
Deep Layered LMS PredictorMay 11 2019In this study, we present a new approach to design a Least Mean Squares (LMS) predictor. This approach exploits the concept of deep neural networks and their supremacy in terms of performance and accuracy. The new LMS predictor is implemented as a deep ... More
Explore intrinsic geometry of sleep dynamics and predict sleep stage by unsupervised learning techniquesMay 11 2019We propose a novel unsupervised approach for sleep dynamics exploration and automatic annotation by combining modern harmonic analysis tools. Specifically, we apply diffusion-based algorithms, diffusion map (DM) and alternating diffusion (AD) algorithms, ... More
Interference Mitigation and Resource Allocation in Underlay Cognitive Radio NetworksMay 11 2019Due to ever increasing usage of wireless devices and data hungry applications, it has become necessary to improve the spectral efficiency of existing wireless networks. One way of improving spectral efficiency is to share the spectrum amongst different ... More
Novel Algorithms based on Majorization Minimization for Nonnegative Matrix FactorizationMay 11 2019Matrix decomposition is ubiquitous and has applications in various fields like speech processing, data mining and image processing to name a few. Under matrix decomposition, nonnegative matrix factorization is used to decompose a nonnegative matrix into ... More
SOLVIT:A Reference-Free Source Localization Technique using Majorization MinimizationMay 11 2019We consider the problem of localizing the source using range and range-difference measurements. Both the problems are known to be non-convex and non-smooth, which makes it challenging to solve. In the case of range-difference measurements, most of the ... More
ECG Identification under Exercise and Rest Situations via Various Learning MethodsMay 11 2019As the advancement of information security, human recognition as its core technology, has absorbed an increasing amount of attention in the past few years. A myriad of biometric features including fingerprint, face, iris, have been applied to security ... More
Generalized Sampling on Graphs With Subspace and Smoothness PriorsMay 11 2019We consider a framework for generalized sampling of graph signals that parallels sampling in shift-invariant (SI) subspaces. This framework allows for arbitrary input signals, which are not constrained to be bandlimited. Furthermore, the sampling and ... More
Machine learning in acoustics: a reviewMay 11 2019Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent advances and transformative potential of machine learning (ML), including deep learning, in the ... More
User Association in Dense mmWave Networks based on Rate RequirementsMay 10 2019Commonly considered user association frameworks in millimeter-wave communications are based on the sum rate maximization, and they essentially neglect user specific rate and service requirements. Furthermore, new features of millimeter-wave communications ... More
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM NetworksMay 10 2019A new paradigm for large-scale spectrum occupancy learning based on long short-term memory (LSTM) recurrent neural networks is proposed. Studies have shown that spectrum usage is a highly correlated time series. Moreover, there is a correlation for occupancy ... More
Channels, Learning, Queueing and Remote Estimation Systems With A Utilization-Dependent ComponentMay 10 2019In this article, we survey the main models, techniques, concepts, and results centered on the design and performance evaluation of engineered systems that rely on a utilization-dependent component (UDC) whose operation may depend on its usage history ... More
Primary User Localization and Online Radio Cartography via Structured Tensor DecompositionMay 10 2019Source localization and radio cartography using multi-way representation of spectrum is the subject of study in this paper. A joint matrix factorization and tensor decomposition problem is proposed and solved using an iterative algorithm. The multi-way ... More
Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial NetworksMay 10 2019Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. Arguably the most striking results have been in the area of image synthesis. However, ... More
Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)May 10 2019A novel approach that combines visible light communication (VLC) with unmanned aerial vehicles (UAVs) to simultaneously provide flexible communication and illumination is proposed. To minimize the power consumption, the locations of UAVs and the cell ... More
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement LearningMay 10 2019Reinforcement learning (RL) is capable of managing wireless, energy-harvesting IoT nodes by solving the problem of autonomous management in non-stationary, resource-constrained settings. We show that the state-of-the-art policy-gradient approaches to ... More
An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVsMay 10 2019Nano-size unmanned aerial vehicles (UAVs), with few centimeters of diameter and sub-10 Watts of total power budget, have so far been considered incapable of running sophisticated visual-based autonomous navigation software without external aid from base-stations, ... More
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New FrontiersMay 10 2019Brain-Computer Interface (BCI) bridges the human's neural world and the outer physical world by decoding individuals' brain signals into commands recognizable by computer devices. Deep learning has lifted the performance of brain-computer interface systems ... More
Holomorphic fractional Fourier transformsMay 10 2019The Fractional Fourier Transform (FrFT) has widespread applications in areas like signal analysis, Fourier optics, diffraction theory, etc. The Holomorphic Fractional Fourier Transform (HFrFT) proposed in the present paper may be used in the same wide ... More
Phase retrieval for wide-band signalsMay 10 2019This study investigates the phase retrieval problem for wide-band signals. We solve the following problem: given f $\in$ L 2 (R) with Fourier transform in L 2 (R, e^{2c|x|} dx), we find all functions g $\in$ L 2 (R) with Fourier transform in L 2 (R, e^{2c|x| ... More
Intelligent User Association for Symbiotic Radio Networks using Deep Reinforcement LearningMay 10 2019In this paper, we are interested in symbiotic radio networks, in which an Internet-of-Things (IoT) network parasitizes in a primary network to achieve spectrum-, energy-, and infrastructure-efficient communications. Specifically, the BS serves multiple ... More
Non-cooperative Aerial Base Station Placement via Stochastic OptimizationMay 10 2019Autonomous unmanned aerial vehicles (UAVs) with on-board base station equipment can potentially provide connectivity in areas where the terrestrial infrastructure is overloaded, damaged, or absent. Use cases comprise emergency response, wildfire suppression, ... More
Optimizing Sensing, Computing, and Communication for Energy Harvesting IoTs: A SurveyMay 10 2019With businesses deploying a growing number of Internet of Things (IoTs), battery maintenance has become a limiting factor for realizing a sustainable IoT infrastructure. To overcome battery limitations, industry is now considering energy harvesting as ... More
Efficient Channel AoD/AoA Estimation Using Widebeams for Millimeter Wave MIMO SystemsMay 10 2019Using millimeter-wave (mmWave) bands is expected to provide high data rates through large licensed and unlicensed spectrum. Due to large path loss and sparse scattering propagation properties, proper beam alignment is important in mmWave systems. Small ... More
Beamforming Algorithm for Multiuser Wideband Millimeter-Wave Systems with Hybrid and Subarray ArchitecturesMay 10 2019We present a beamforming algorithm for multiuser wideband millimeter wave (mmWave) communication systems where one access point uses hybrid analog/digital beamforming while multiple user stations have phased-arrays with a single RF chain. The algorithm ... More
Low-Rank Channel Covariance Matrix Estimation for Hybrid MmWave Communication SystemsMay 10 2019Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been considered as a potential candidate for millimeter wave (mmWave) communications. Channel covariance information can be used for designing transmitter precoders, ... More
Channel Tracking and Hybrid Precoding for Wideband Hybrid Millimeter Wave MIMO SystemsMay 10 2019A major source of difficulty when operating with large arrays at mmWave frequencies is to estimate the wideband channel, since the use of hybrid architectures acts as a compression stage for the received signal. Moreover, the channel has to be tracked ... More
On Unlimited Sampling and ReconstructionMay 10 2019Shannon's sampling theorem is one of the cornerstone topics that is well understood and explored, both mathematically and algorithmically. That said, practical realization of this theorem still suffers from a severe bottleneck due to the fundamental assumption ... More
Traffic Queue Length and Pressure Estimation for Road Networks with Geometric Deep Learning AlgorithmsMay 09 2019Due to urbanization and the increase of individual mobility, in most metropolitan areas around the world congestion and inefficient traffic management occur. Highly necessary intelligent traffic control systems, which are able to reduce congestion, rely ... More
Multi-Marginal Optimal Mass Transport with Partial InformationMay 09 2019During recent decades, there has been a substantial development in optimal mass transport theory and methods. In this work, we consider multi-marginal problems wherein only partial information of each marginal is available, which is a setup common in ... More
Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approachMay 09 2019Recent years have witnessed the rapid development of human activity recognition (HAR) based on wearable sensor data. One can find many practical applications in this area, especially in the field of health care. Many machine learning algorithms such as ... More
Maximum A Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems with Channels of Arbitrary CorrelationMay 09 2019Channel and frequency offset estimation is a classic topic with a large body of prior work using mainly maximum likelihood (ML) approach together with Cram\'er-Rao Lower bounds (CRLB) analysis. We provide the maximum a posteriori (MAP) estimation solution ... More
NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile ClientsMay 09 2019Data processing on convolutional neural networks (CNNs) places a heavy burden on energy-constrained mobile platforms. This work optimizes energy on a mobile client by partitioning CNN computations between in situ processing on the client and offloaded ... More
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and FrequencyMay 09 2019Can we map the channels at one set of antennas and one frequency band to the channels at another set of antennas---possibly at a different location and a different frequency band? If this channel-to-channel mapping is possible, we can expect dramatic ... More
Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer SecurityMay 09 2019In this paper, we introduce an intelligent reflecting surface (IRS) to provide a programmable wireless environment for physical layer security. By adjusting the reflecting coefficients, the IRS can change the attenuation and scattering of the incident ... More
Stochastic Fading Channel Models with Multiple Dominant Specular Components for 5G and BeyondMay 09 2019We introduce a comprehensive statistical characterization of the multipath wireless channel built as a superposition of a number of scattered waves with random phases. We consider an arbitrary number $N$ of specular (dominant) components plus other diffusely ... More
1D Convolutional Neural Networks and Applications: A SurveyMay 09 2019During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with alternating convolutional and subsampling ... More
Intelligent Scheduling and Power Control for Multimedia Transmission in 5G CoMP Systems: A Dynamic Bargaining GameMay 09 2019Intelligent terminals support a large number of multimedia, such as picture, audio, video, and so on. The coexistence of various multimedia makes it necessary to provide service for different requests. In this work, we consider interference-aware coordinated ... More
RSS-Based Detection of Drones in the Presence of RF InterferersMay 09 2019Drones will have extensive use cases across various commercial, government, and military sectors, ranging from delivery of consumer goods to search and rescue operations. To maintain the safety and security of people and infrastructure, it becomes critically ... More
Joint power and resource allocation of D2D communication with low-resolution ADCMay 09 2019This paper considers the joint power control and resource allocation for a device-to-device (D2D) underlay cellular system with a multi-antenna BS employing ADCs with different resolutions. We propose a four-step algorithm that optimizes the ADC resolution ... More
Path Design for Cellular-Connected UAV with Reinforcement LearningMay 09 2019This paper studies the path design problem for cellular-connected unmanned aerial vehicle (UAV), which aims to minimize its mission completion time while maintaining good connectivity with the cellular network. We first argue that the conventional path ... More
Optimal Time-Domain Pulse Width Modulation for Three-Phase InvertersMay 08 2019A novel optimal time-domain technique for pulse-width modulation (PWM) in three-phase inverters is presented. This technique is based on the time-domain per phase analysis of three-phase inverters. The role of symmetries on the structure of three-phase ... More
On Timely Channel Coding with Hybrid ARQMay 08 2019A status updating communication system is examined, in which a transmitter communicates with a receiver over a noisy channel. The goal is to realize timely delivery of fresh data over time, which is assessed by an age-of-information (AoI) metric. Channel ... More
Predicting Dynamic Modulus of Asphalt Mixture Using Data Obtained from Indirect Tension Mode of TestingMay 08 2019Understanding stress-strain behavior of asphalt pavement under repetitive traffic loading is of critical importance to predict pavement performance and service life. For viscoelastic materials, the stress-strain relationship can be represented by the ... More
Reconstructing Classes of Non-bandlimited Signals from Time Encoded InformationMay 08 2019We investigate time encoding as an alternative method to classical sampling, and address the problem of reconstructing non-bandlimited signals from time-based samples. We consider a sampling mechanism based on first filtering the input, before obtaining ... More
Multi-target Detection with an Arbitrary Spacing DistributionMay 08 2019Motivated by the structure reconstruction problem in cryo-electron microscopy, we consider the multi-target detection model, where multiple copies of a target signal occur at unknown locations in a long measurement, further corrupted by additive Gaussian ... More
A Hardware-Oriented and Memory-Efficient Method for CTC DecodingMay 08 2019The Connectionist Temporal Classification (CTC) has achieved great success in sequence to sequence analysis tasks such as automatic speech recognition (ASR) and scene text recognition (STR). These applications can use the CTC objective function to train ... More
Parameters Calibration for Power Grid Stability Models using Deep Learning MethodsMay 08 2019This paper presents a novel parameter calibration approach for power system stability models using automatic data generation and advanced deep learning technology. A PMU-measurement-based event playback approach is used to identify potential inaccurate ... More
Decentralized Massive MIMO Processing Exploring Daisy-chain Architecture and Recursive AlgorithmsMay 08 2019Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a centralized approach, by which baseband data from all antenna modules are routed to a central node in order to be processed. In the case of Massive MIMO, where hundreds ... More