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Performance Evaluation of Frequency Domain Equalisation Based Colour Shift Keying Modulation Schemes Over Diffuse Optical Wireless ChannelsMar 25 2019Multi-colour light-emitting diode (LED) based visible light communication (VLC) benefits from wavelength diversity while providing indoor illumination. Colour shift keying (CSK) is a well-researched IEEE standardised multi-colour VLC modulation technique. ... More
Core Access Hybridization in 5GMar 24 2019The fifth generation (5G) cellular communication system will have several advanced features, majority of which will come into existence for the first time. According to the ITU recommendations, 5G will provide minimum 3 GB/s end to end data rates under ... More
A Simplified Dynamical Model for Tuned Wireless Power Transfer SystemsMar 22 2019Dynamical models of wireless power transfer (WPT) systems are of primary importance for the dynamical behavior studies and controller design. However, the existing dynamical models usually suffer from high orders and complicated forms due to the complex ... More
Quasi-Dynamic Frame Coordination For Ultra- Reliability and Low-Latency in 5G TDD SystemsMar 22 2019The fifth generation (5G) mobile technology features the ultra-reliable and low-latency communications (URLLC) as a major service class. URLLC applications demand a tight radio latency with extreme link reliability. In 5G dynamic time division duplexing ... More
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and AlgorithmsMar 22 2019This work addresses the problem of learning sparse representations of tensor data using structured dictionary learning. It proposes learning a mixture of separable dictionaries to better capture the structure of tensor data by generalizing the separable ... More
PRNU-Based Source Device Attribution for Highly Compressed YouTube VideosMar 21 2019Photo Response Non-Uniformity (PRNU) is a camera imaging sensor imperfection which has earned a great interest for source device attribution of digital videos. The majority of recent researches about PRNU-based source device attribution for digital videos ... More
On Approximate Nonlinear Gaussian Message Passing On Factor GraphsMar 21 2019Factor graphs have recently gained increasing attention as a unified framework for representing and constructing algorithms for signal processing, estimation, and control. One capability that does not seem to be well explored within the factor graph tool ... More
Controllability-Gramian Submatrices for a Network Consensus ModelMar 21 2019Principal submatrices of the controllability Gramian and their inverses are examined, for a network-consensus model with inputs at a subset of network nodes. Specifically, several properties of the Gramian submatrices and their inverses -- including dominant ... More
Machines listening to music: the role of signal representations in learning from musicMar 21 2019Recent, extremely successful methods in deep learning, such as convolutional neural networks (CNNs) have originated in machine learning for images. When applied to music signals and related music information retrieval (MIR) problems, researchers often ... More
Algebraic Channel Estimation Algorithms for FDD Massive MIMO systemsMar 21 2019We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. Our goal is to provide fast and accurate channel estimation from a small amount of DL training overhead. Prior art tackles ... More
PPGnet: Deep Network for Device Independent Heart Rate Estimation from PhotoplethysmogramMar 21 2019Photoplethysmogram (PPG) is increasingly used to provide monitoring of the cardiovascular system under ambulatory conditions. Wearable devices like smartwatches use PPG to allow long term unobtrusive monitoring of heart rate in free living conditions. ... More
PMU-Based ROCOF Measurements: Uncertainty Limits and Metrological Significance in Power System ApplicationsMar 21 2019In modern power systems, the Rate-of-Change-of-Frequency (ROCOF) may be largely employed in Wide Area Monitoring, Protection and Control (WAMPAC) applications. However, a standard approach towards ROCOF measurements is still missing. In this paper, we ... More
Convolutional neural network for detection and classification of seizures in clinical dataMar 21 2019Epileptic seizure detection and classification in clinical electroencephalogram data still is a challenge, and only low sensitivity with a high rate of false positives has been achieved with commercially available seizure detection tools, which usually ... More
Cognitive Wireless Power Transfer in the Presence of Reactive Primary Communication UserMar 21 2019This paper studies a cognitive or secondary multi-antenna wireless power transfer (WPT) system over a multi-carrier channel, which shares the same spectrum with a primary wireless information transfer (WIT) system that employs adaptive water-filling power ... More
Ultra Low-Power System for Remote ECG MonitoringMar 21 2019A complete system solution extracting signals from the patient chest with three leads including motion artifact removal in both analog and digital implementations are described. The resulting ECG signal is transferred via Bluetooth low energy to a mobile ... More
What's in a frequency: new tools for graph Fourier Transform visualizationMar 21 2019Recent progress in graph signal processing (GSP) has addressed a number of problems, including sampling and filtering. Proposed methods have focused on generic graphs and defined signals with certain characteristics, e.g., bandlimited signals, based on ... More
Noisy Accelerated Power Method for Eigenproblems with ApplicationsMar 20 2019This paper introduces an efficient algorithm for finding the dominant generalized eigenvectors of a pair of symmetric matrices. Combining tools from approximation theory and convex optimization, we develop a simple scalable algorithm with strong theoretical ... More
Design of robust radar detectors through random perturbation of the target signatureMar 20 2019The paper addresses the problem of designing radar detectors more robust than Kelly's detector to possible mismatches of the assumed target signature, but with no performance degradation under matched conditions. The idea is to model the received signal ... More
Massive MIMO Optimization with Compatible SetsMar 19 2019Massive multiple-input multiple-output (MIMO) is expected to be a vital component in future 5G systems. As such, there is a need for new modeling in order to investigate the performance of massive MIMO not only at the physical layer, but also higher up ... More
Bayesian Analysis of Target Detection with Enhanced Receiver Operating CharacteristicMar 19 2019In the present paper we develop a Bayesian analysis of radar target detection that uses the parameters of conventional radar analysis to provide a valid prediction of target presence or absence when received signals cross or fail to cross chosen threshold ... More
How Many Antennas Do We Need for Massive MIMO Channel Sounding? - Validating Through MeasurementMar 19 2019This paper investigates the impact of the number of antennas (8 to 64) and the array configuration on massive MIMO channel parameters estimation for multiple propagation scenarios at 3.5 GHz. Different measurement environments are artificially created ... More
Residual Deep Convolutional Neural Network for EEG Signal Classification in EpilepsyMar 19 2019Epilepsy is the fourth most common neurological disorder, affecting about 1% of the population at all ages. As many as 60% of people with epilepsy experience focal seizures which originate in a certain brain area and are limited to part of one cerebral ... More
Low-Complexity Iterative Receiver for Orthogonal Chirp Division MultiplexingMar 19 2019This paper proposes a low-complexity iterative receiver for the recently proposed Orthogonal Chirp Division Multiplexing (OCDM) modulation scheme, where we consider a system under frequency-selective channels and constrained to channel state information ... More
Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA)Mar 19 2019In this paper, the sum-rate maximization problem is studied for wireless networks that use downlink rate splitting multiple access (RSMA). In the considered model, each base station (BS) divides the messages that must be transmitted to its users into ... More
Zero-Velocity Detection -- A Bayesian Approach to Adaptive ThresholdingMar 19 2019A Bayesian zero-velocity detector for foot-mounted inertial navigation systems is presented. The detector extends existing zero-velocity detectors based on the likelihood-ratio test, and allows, possibly time-dependent, prior information about the two ... More
Performance of Cooperative NOMA with MRT/RAS in Nakagami-m Fading Channels with Channel Estimation ErrorsMar 19 2019This paper studies the performance of a downlink non-orthogonal multiple access (NOMA) based cooperative network with maximal ratio transmission/receive antenna selection (MRT/RAS) over Nakagami-m fading channels in the presence of channel estimation ... More
High-Dimensional Bernoulli Autoregressive Process with Long-Range DependenceMar 19 2019We consider the problem of estimating the parameters of a multivariate Bernoulli process with auto-regressive feedback in the high-dimensional setting where the number of samples available is much less than the number of parameters. This problem arises ... More
Impact of an Interfering Node on Unmanned Aerial Vehicle CommunicationsMar 19 2019Unlike terrestrial communications, unmanned aerial vehicle (UAV) communications have some advantages such as the line-of-sight (LoS) environment and flexible mobility. However, the interference will be still inevitable. In this paper, we analyze the effect ... More
Efficient MIMO Detection with Imperfect Channel Knowledge - A Deep Learning ApproachMar 19 2019Multiple-input multiple-output (MIMO) system is the key technology for long term evolution (LTE) and 5G. The information detection problem at the receiver side is in general difficult due to the imbalance of decoding complexity and decoding accuracy within ... More
Machine Learning for removing EEG artifacts: Setting the benchmarkMar 19 2019Electroencephalograms (EEG) are often contaminated by artifacts which make interpreting them more challenging for clinicians. Hence, automated artifact recognition systems have the potential to aid the clinical workflow. In this abstract, we share the ... More
A semi-supervised deep learning algorithm for abnormal EEG identificationMar 19 2019Systems that can automatically analyze EEG signals can aid neurologists by reducing heavy workload and delays. However, such systems need to be first trained using a labeled dataset. While large corpuses of EEG data exist, a fraction of them are labeled. ... More
Kuiper test based modulation level classification under unknown frequency selective channelsMar 18 2019In this paper, we address the problem of Identifying the modulation level of the received signal under an unknown frequency selective channel. The modulation level classification is performed using reduced-complexity Kuiper (rcK) test which utilizes the ... More
Unsupervised frequency clustering algorithm for null space estimation in wideband spectrum sharing networksMar 18 2019In spectrum sharing networks, a base station (BS) needs to mitigate the interference to users associated with other coexisting network in the same band. The BS can achieve this by transmitting its downlink signal in the null space of channels to such ... More
Cyclic weighted centroid localization for spectrally overlapped sources in cognitive radio networksMar 18 2019We consider the problem of localizing spectrally overlapped sources in cognitive radio networks. A new weighted centroid localization algorithm (WCL) called Cyclic WCL is proposed, which exploits the cyclostationary feature of the target signal to estimate ... More
Cyclic Weighted Centroid Algorithm for Transmitter Localization in the Presence of InterferenceMar 18 2019This paper addresses the problem of localizing a non-cooperative transmitter in the presence of a spectrally overlapped interferer in a cognitive receiver (CR) network. It has been observed that the performance of non-cooperative weighted centroid localization ... More
Joint Frame Synchronization and Channel Estimation: Sparse Recovery Approach and USRP ImplementationMar 18 2019Correlation-based techniques used for frame synchronization can suffer significant performance degradation over multi-path frequency-selective channels. In this paper, we propose a joint frame synchronization and channel estimation (JFSCE) framework as ... More
Investigating the Impacts of Stochastic Load Fluctuation on Dynamic Voltage Stability Margin Using Bifurcation TheoryMar 18 2019This paper studies the impacts of stochastic load fluctuations, namely the fluctuation intensity and the changing speed of load power, on the size of the voltage stability margin. To this end, Stochastic Differential-Algebraic Equations (SDAEs) are used ... More
Online Reinforcement Learning of X-Haul Content Delivery Mode in Fog Radio Access NetworksMar 18 2019We consider a Fog Radio Access Network (F-RAN) with a Base Band Unit (BBU) in the cloud and multiple cache-enabled enhanced Remote Radio Heads (eRRHs). The system aims at delivering contents on demand with minimal average latency from a time-varying library ... More
Online Reinforcement Learning of X-Haul Content Delivery Mode in Fog Radio Access NetworksMar 18 2019Mar 19 2019We consider a Fog Radio Access Network (F-RAN) with a Base Band Unit (BBU) in the cloud and multiple cache-enabled enhanced Remote Radio Heads (eRRHs). The system aims at delivering contents on demand with minimal average latency from a time-varying library ... More
Deep Learning Based Pilot Design for Multi-user Distributed Massive MIMO SystemsMar 18 2019This letter proposes a deep learning based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input multiple-output (MIMO) systems. The pilot signal of each user is expressed ... More
Sensing Micro-colloid Concentration by Spectral Impedance Measurements and Relaxation Times AnalysisMar 17 2019This paper presents an attractive method towards sensing and quantifying the concentration of dielectric particles suspended in a highly conductive medium. Fast electrical impedance spectroscopy (EIS) measurements were performed, based on an electrochemical ... More
Sum Capacity Bounds and Design of Suboptimal Codes for Asynchronous CDMA SystemsMar 17 2019In this paper, we study two issues in asynchronous communication systems. The first issue is the derivation of sum capacity bounds for finite dimensional asynchronous systems. In addition, asymptotic results for the sum capacity bounds are obtained. The ... More
Linearly Constrained Smoothing Group Sparsity Solvers in Off-grid ModelMar 17 2019In compressed sensing, the sensing matrix is assumed perfectly known. However, there exists perturbation in the sensing matrix in reality due to sensor offsets or noise disturbance. Directions-of-arrival (DoA) estimation with off-grid effect satisfies ... More
Joint Block Low Rank and Sparse Matrix Recovery in Array Self-Calibration Off-Grid DoA EstimationMar 17 2019This letter addresses the estimation of directions-of-arrival (DoA) by a sensor array using a sparse model in the presence of array calibration errors and off-grid directions. The received signal utilizes previously used models for unknown errors in calibration ... More
Localization of Energy Harvesting Empowered Underwater Optical Wireless Sensor NetworksMar 17 2019This paper proposes a received signal strength (RSS) based localization framework for energy harvesting underwater optical wireless sensor networks (EH-UOWSNs), where the optical noise sources and channel impairments of seawater pose significant challenges ... More
Compressive Spectral Imaging with Diffractive LensesMar 16 2019Compressive spectral imaging enables to reconstruct the entire three-dimensional (3D) spectral cube from a few multiplexed images. Here, we develop a novel compressive spectral imaging technique using diffractive lenses. Our technique uses a coded aperture ... More
An Accurate Bilinear Cavern Model for Compressed Air Energy StorageMar 16 2019Compressed air energy storage is suitable for large-scale electrical energy storage, which is important for integrating renewable energy sources into electric power systems. A typical compressed air energy storage plant consists of compressors, expanders, ... More
Minimizing Age of Information in Cognitive Radio-Based IoT Networks: Underlay or Overlay?Mar 16 2019We consider a cognitive radio-based Internet-of-Things (CR-IoT) network consisting of one primary IoT (PIoT) system and one secondary IoT (SIoT) system. The IoT devices of both the PIoT and the SIoT respectively monitor one physical process and send randomly ... More
Data-driven Identification and Prediction of Power System Dynamics Using Linear OperatorsMar 15 2019In this paper, we propose linear operator theoretic framework involving Koopman operator for the data-driven identification of power system dynamics. We explicitly account for noise in the time series measurement data and propose robust approach for data-driven ... More
EMG wrist-hand motion recognition system for real-time Embedded platformMar 15 2019Electromyography (EMG) signal analysis is a popular method for controlling prosthetic and gesture control equipment. For portable systems, such as prosthetic limbs, real-time low-power operation on embedded processors is critical, but to date, there has ... More
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis TournamentsMar 15 2019We propose a novel ranking model that combines the Bradley-Terry-Luce probability model with a nonnegative matrix factorization framework to model and uncover the presence of latent variables that influence the performance of top tennis players. We derive ... More
Cost Optimal Design of Zero Emission Neighborhoods' (ZENs) Energy System: Model Presentation and Case Study on EvenstadMar 15 2019Zero Emission Neighborhoods (ZEN) is a concept studied in Norway to reduce the CO_2 emission of neighborhoods. One question coming along this concept is how to design the energy system of such neighborhoods to fit the ZEN definition. From this definition ... More
Joint Antenna Array Mode Selection and User Assignment for Full-Duplex MU-MISO SystemsMar 15 2019This paper considers a full-duplex (FD) multiuser multiple-input single-output system where a base station simultaneously serves both uplink (UL) and downlink (DL) users on the same time-frequency resource. The crucial barriers in implementing FD systems ... More
Reconfigurable Multitask Audio Dynamics Processing SchemeMar 15 2019Automatic speech recognition (ASR), audio quality, and loudness are key performance indicators (KPIs) in smart speakers. To improve all these KPIs, audio dynamics processing is a crucial component in related systems. Unfortunately, single-band and existing ... More
A Deep Learning Approach for Automotive Radar Interference MitigationMar 15 2019In automotive systems, a radar is a key component of autonomous driving. Using transmit and reflected radar signal by a target, we can capture the target range and velocity. However, when interference signals exist, noise floor increases and it severely ... More
QoS Aware Power Allocation and User Selection in Massive MIMO Underlay Cognitive Radio NetworksMar 15 2019We address the problem of power allocation and secondary user (SU) selection in the downlink from a secondary base station (SBS) equipped with a large number of antennas in an underlay cognitive radio network. A new optimization framework is proposed ... More
Power Control and Frequency Band Selection Policies for Underlay MIMO Cognitive RadioMar 15 2019We study power control and frequency band selection policies for multi-band underlay MIMO cognitive radio with the objective of maximizing the rate of a secondary user (SU) link while limiting the interference leakage towards primary users (PUs) below ... More
Model-Driven Deep Learning Method for Jammer Suppression in Massive Connectivity SystemsMar 14 2019We present a method for separating collided signals from multiple users in the presence of strong and wideband interference/jamming signal. More specifically, we consider a massive connectivity setup where few, out of a large number of users, equipped ... More
Tucker Tensor Layer in Fully Connected Neural NetworksMar 14 2019We introduce the Tucker Tensor Layer (TTL), an alternative to the dense weight-matrices of the fully connected layers of feed-forward neural networks (NNs), to answer the long standing quest to compress NNs and improve their interpretability. This is ... More
Rate Statistics in Cellular Downlink: PHY Rateless vs Adaptive Modulation and CodingMar 14 2019In this letter, we focus on rateless coded adaptive transmission in a cellular downlink. Based on a stochastic geometry model for the locations of BSs, we evaluate the meta-distribution of rate, i.e., the distribution of rate conditioned on the point ... More
Large-Scale Beamforming for Massive MIMO via Randomized SketchingMar 14 2019Massive MIMO system yields significant improvements in spectral and energy efficiency for future wireless communication systems. The regularized zero-forcing (RZF) beamforming is able to provide good performance with the capability of achieving numerical ... More
Joint Resource Block-Power Allocation for NOMA-Enabled Fog Radio Access NetworksMar 14 2019In order to achieve efficient communication in the fifth generation (5G) networks, non-orthogonal multiple access (NOMA) technique has been utilized in fog radio access networks (F-RANs). In this paper, we investigate the resource allocation problem in ... More
Delayed state synchronization of continuous-time multi-agent systems in the presence of unknown communication delays (including complete proofs)Mar 14 2019Mar 19 2019This paper studies delayed synchronization of continuous-time multi-agent systems (MAS) in the presence of unknown nonuniform communication delays. A delay-free transformation is developed based on a communication network which is a directed spanning ... More
Delayed state synchronization of homogeneous continuous-time multi-agent systems in the presence of unknown communication delays (including complete proofs)Mar 14 2019This paper studies delayed synchronization of continuous-time multi-agent systems (MAS) in presence of unknown nonuniform communication delays. A delay-free transformation is developed based on a communication network which is a directed spanning tree, ... More
Low-rankness of Complex-valued Spectrogram and Its Application to Phase-aware Audio ProcessingMar 13 2019Low-rankness of amplitude spectrograms has been effectively utilized in audio signal processing methods including non-negative matrix factorization. However, such methods have a fundamental limitation owing to their amplitude-only treatment where the ... More
Phase-aware Harmonic/Percussive Source Separation via Convex OptimizationMar 13 2019Decomposition of an audio mixture into harmonic and percussive components, namely harmonic/percussive source separation (HPSS), is a useful pre-processing tool for many audio applications. Popular approaches to HPSS exploit the distinctive source-specific ... More
An Accurate Sample Rejection Estimator for the Estimation of Outage Probability of EGC ReceiversMar 13 2019In this work, we evaluate the outage probability (OP) for L-branch equal gain combining (EGC) diversity receivers operating over fading channels, i.e. equivalently the cumulative distribution function (CDF) of the sum of the L channel envelopes. In general, ... More
Crowdsourced wireless spectrum anomaly detectionMar 13 2019Automated wireless spectrum monitoring across frequency, time and space will be essential for many future applications. Manual and fine-grained spectrum analysis is becoming impossible because of the large number of measurement locations and complexity ... More
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification ResultsMar 13 2019Despite the development of two and three dimensional (2D&3D) technology, it has attracted the attention of researchers in recent years. This research is done to reveal the detailed effects of 2D in comparison with 3D technology on the human brain waves. ... More
An EEG-based Stereoscopic Research to Reveal the Brain's Response to What Happens Before and After Watching 2D and 3D MoviesMar 13 2019Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue, this technology continues to be retained by people (especially the young community). To check what happens before and after watching a 2D and 3D movie and how ... More
DeepCount: Crowd Counting with WiFi via Deep LearningMar 13 2019Recently, the research of wireless sensing has achieved more intelligent results, and the intelligent sensing of human location and activity can be realized by means of WiFi devices. However, most of the current human environment perception work is limited ... More
On the Spectrum Sensing, Beam Selection and Power Allocation in Cognitive Radio Networks Using Reconfigurable AntennasMar 13 2019In this paper, we consider a cognitive radio (CR) system consisting of a primary user (PU) and a pair of secondary user transmitter (SUtx) and secondary user receiver (SUrx). The SUtx is equipped with a reconfigurable antenna (RA) which divides the angular ... More
Accessing From The Sky: A Tutorial on UAV Communications for 5G and BeyondMar 13 2019Mar 14 2019Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to bring fertile business opportunities in the next decade. Among various enabling technologies for UAVs, wireless communication is essential and has drawn significantly ... More
Structure and Needed Properties of Reasonable Polarization Mode Dispersion Emulators for Coherent Optical Fiber TransmissionMar 12 2019This paper proposes a scientifically reasonable polarization mode dispersion (PMD) emulator (PMDE) for coherent optical fiber transmission. Guidelines are physically correct modeling of the polarization-dispersive fiber, the time-variable polarization ... More
Mapping Target Location from Doppler DataMar 12 2019In this paper, we present an algorithm for determining a curve on the earth's terrain on which a stationary emitter must lie according to a single Doppler shift measured on an unmanned aerial vehicle (UAV) or a low earth orbit satellite (LEOS). The mobile ... More
Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF LoopMar 12 2019The explosion of 5G networks and the Internet of Things will result in an exceptionally crowded RF environment, where techniques such as spectrum sharing and dynamic spectrum access will become essential components of the wireless communication process. ... More
Narrowband IoT: An Appropriate Solution for Developing CountriesMar 12 2019Internet of things (IoT) is very much attractive for several sensor based applications. It provides large coverage of the services with small amount of resources. Its applications span from the ordinary scenarios such as sensing in the common digital ... More
QR Approximation for Massive MIMO Fronthaul CompressionMar 12 2019Massive MIMO's immense potential to serve large number of users at fast data rates also comes with the caveat of requiring tremendous processing power. This favours a centralized radio access network (C-RAN) architecture that concentrates the processing ... More
Satellite Based IoT for MC ApplicationsMar 12 2019In the recent years, world has witnessed the ubiquitous applications of Internet of things (IoT) for many different scenarios. There are several critical applications where the results are essential and the mission has to be successful at any cost. Such ... More
Why 6G?Mar 12 2019Since the 1980s, the world has witnessed new mobile generations every decade. Each new generation is better than the previous in some ways. The recently emerging generation, 5G has several advanced features. However, it is doubted that there will be several ... More
Channel Protection using Random ModulationMar 12 2019This paper shows that modulation protects a bandlimited signal against convolutive interference. A signal $s(t)$, bandlimited to $B$Hz, is modulated (pointwise multiplied) with a known random sign sequence $r(t)$, alternating at a rate $Q$, and the resultant ... More
Communication Bandwidth for Emerging Networks: Trends and ProspectsMar 12 2019Bandwidth is one of the essential resources for communication. Due to the emergence of large number of new services in different types of communications and their value added entities, the demand for bandwidth has gone up more than ever before. The Internet ... More
The COST IRACON Geometry-based Stochastic Channel Model for Vehicle-to-Vehicle Communication in IntersectionsMar 12 2019Vehicle-to-vehicle (V2V) wireless communications can improve traffic safety at road intersections and enable congestion avoidance. However, detailed knowledge about the wireless propagation channel is needed for the development and realistic assessment ... More
Non-Uniform BCSK Modulation in Nutrient-Limited Relay-Assisted Molecular Communication System: Optimization and Performance EvaluationMar 12 2019Mar 17 2019In this paper, a novel non-uniform Binary Concentration Shift Keying (BCSK) modulation in the course of molecular communication is introduced. We consider the nutrient limiting as the main reason for avoiding the nanotransmitters to release huge number ... More
Non-Uniform BCSK Modulation in Nutrient Limited Molecular Communication System: Optimization and Performance EvaluationMar 12 2019In this paper, a novel non-uniform Binary Concentration Shift Keying (BCSK) modulation in the course of molecular communication is introduced. We consider the nutrient limiting as the main reason for avoiding the nanotransmitters to release huge number ... More
Sphere Bounding Scheme for Probabilistic Robust Constructive Interference Precoding in MISO Downlink TransmissionMar 12 2019In this letter, we propose a sphere bounding scheme for probabilistic robust constructive interference (CI) power minimizing precoding, to address the imperfect channel state information (CSI) caused by the channel error (CE), which satisfies the known ... More
Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural NetworksMar 12 2019We introduce an electro-optic hardware platform for nonlinear activation functions in optical neural networks. The optical-to-optical nonlinearity operates by converting a small portion of the input optical signal into an analog electric signal, which ... More
Analysis of CVR Impact on Voltage Stability Margin using T&D Co-SimulationMar 12 2019This paper demonstrates the importance of modeling the distribution network for studying the impact of conservation by voltage reduction (CVR) on voltage stability margin (VSM). Since CVR is deployed in the distribution system, modeling a detailed distribution ... More
Deep Log-Likelihood Ratio QuantizationMar 11 2019In this work, a deep learning-based method for log-likelihood ratio (LLR) lossy compression and quantization is proposed, with emphasis on a single-input single-output uncorrelated fading communication setting. A deep autoencoder network is trained to ... More
Transmit Antenna Selection for Massive MIMO-GSM with Machine LearningMar 11 2019A dynamic and flexible generalized spatial modulation (GSM) framework is proposed for massive MIMO systems. Our framework is leveraged on the utilization of machine learning methods for GSM in order to improve the error performance in presence of correlated ... More
$L^γ$-PageRank for Semi-Supervised LearningMar 11 2019PageRank for Semi-Supervised Learning has shown to leverage data structures and limited tagged examples to yield meaningful classification. Despite successes, classification performance can still be improved, particularly in cases of fuzzy graphs or unbalanced ... More
Demonstration of Vector Flow Imaging using Convolutional Neural NetworksMar 11 2019Synthetic Aperture Vector Flow Imaging (SA-VFI) can visualize complex cardiac and vascular blood flow patterns at high temporal resolution with a large field of view. Convolutional neural networks (CNNs) are commonly used in image and video recognition ... More
Highway traffic data: macroscopic, microscopic and criticality analysis for capturing relevant traffic scenarios and traffic modeling based on the highD data setMar 11 2019This work provides a comprehensive analysis on naturalistic driving behavior for highways based on the highD data set. Two thematic fields are considered. First, some macroscopic and microscopic traffic statistics are provided. These include the traffic ... More
Sign Patterns of Inverse Doubly-Nonnegative MatricesMar 11 2019The sign patterns of inverse doubly-nonnegative matrices are examined. A necessary and sufficient condition is developed for a sign matrix to correspond to an inverse doubly-nonnegative matrix. In addition, for a doubly-nonnegative matrix whose graph ... More
Sign Patterns of Inverse Doubly-Nonnegative MatricesMar 11 2019Mar 12 2019The sign patterns of inverse doubly-nonnegative matrices are examined. A necessary and sufficient condition is developed for a sign matrix to correspond to an inverse doubly-nonnegative matrix. In addition, for a doubly-nonnegative matrix whose graph ... More
Real Polynomial Gram Matrices Without Real Spectral FactorsMar 11 2019It is well known that a non-negative definite polynomial matrix (a polynomial Gramian) $G(t)$ can be written as a product of its polynomial spectral factors, $G(t) = X(t)^H X(t)$. In this paper, we give a new algebraic characterization of spectral factors ... More
A Deep Learning Based Resource Allocation Scheme in Vehicular Communication SystemsMar 10 2019In vehicular communications, intracell interference and the stringent latency requirement are challenging issues. In this paper, a joint spectrum reuse and power allocation problem is formulated for hybrid vehicle-to-vehicle (V2V) and vehicle-to-infrastructure ... More
Effect of Mutual Coupling on the Performance of STCM-MIMO SystemsMar 10 2019Space-time coded massive (STCM) multiple-input multiple-output (MIMO) system provides superior bit error rate (BER) performance compared with the conventional space-time coding and massive MIMO techniques. The transmitter of the STCM-MIMO system consists ... More
A simple bound on the BER of the MAP decoder for massive MIMO systemsMar 10 2019The deployment of massive MIMO systems has revived much of the interest in the study of the large-system performance of multiuser detection systems. In this paper, we prove a non-trivial upper bound on the bit-error rate (BER) of the MAP detector for ... More
Towards Ultra-Reliable Low-Latency Communications: Typical Scenarios, Possible Solutions, and Open IssuesMar 10 2019Ultra-reliable low-latency communications (URLLC) has been considered as one of the three new application scenarios in the \emph{5th Generation} (5G) \emph {New Radio} (NR), where the physical layer design aspects have been specified. With the 5G NR, ... More