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Table Of Integrals Series And Products

A fast-Fourier-transform method of topography and interferometry is proposed. By computer processing of a noncontour type of fringe pattern, automatic discrimination is achieved between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour-generation techniques. The method has advantages over moire topography and conventional fringe-contour interferometry in both accuracy and sensitivity. Unlike fringe-scanning techniques, the method is easy to apply because it uses no moving components.

Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry

Matrix Differential Calculus with Applications in Statistics and Econometrics

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The World Bank Group

Radio access technologies for cellular mobile communications are typically characterized by multiple access schemes, e.g., frequency division multiple access (FDMA), time division multiple access (TDMA), code division multiple access (CDMA), and OFDMA. In the 4th generation (4G) mobile communication systems such as Long-Term Evolution (LTE) (Au et al., Uplink contention based SCMA for 5G radio access. Globecom Workshops (GC Wkshps), 2014. doi:10.1109/GLOCOMW.2014.7063547) and LTE-Advanced (Baracca et al., IEEE Trans. Commun., 2011. doi:10.1109/TCOMM.2011.121410.090252; Barry et al., Digital Communication, Kluwer, Dordrecht, 2004), standardized by the 3rd Generation Partnership Project (3GPP), orthogonal multiple access based on OFDMA or single carrier (SC)-FDMA is adopted. Orthogonal multiple access was a reasonable choice for achieving good system-level throughput performance with simple single-user detection. However, considering the trend in 5G, achieving significant gains in capacity and system throughput performance is a high priority requirement in view of the recent exponential increase in the volume of mobile traffic. In addition the proposed system should be able to support enhanced delay-sensitive high-volume services such as video streaming and cloud computing. Another high-level target of 5G is reduced cost, higher energy efficiency and robustness against emergencies.

Non-Orthogonal Multiple Access (NOMA) for cellular future radio access

In this paper, we propose a simple system model to generate a temporal sequence of biospeckle patterns which is based on speckle dynamicity by clockwise rotation of a diffuser plate in coherence illumination field. These generated patterns are applied to two popular biospeckle quantification strategies namely inertia moment and absolute value of difference. Performance of both algorithms is assessed and compared by using a number of fixed correlated synthetic speckle sequences.

Performance estimation of numerical biospeckle indexing techniques using rotating diffuser based fixed correlation modelling

In this work, we consider the relay assisted multi-input and multi-output (MIMO) device-to-device (D2D) communications We have considered the variable gain amplify-and-forward relaying protocol with effect of imperfect channel state information (CSI) cooperative system over the generalized Nakagami-m fading channel for 5th generation and beyond systems MIMO antenna system require dedicated radio frequency chain for each antenna which is not feasible in practice Hence, transmit antenna selection strategy (TAS) is employed in order to choose the transmit antenna which maximizes the received signal power Framework for the ergodic capacity is provided for TAS based MIMO D2D cooperative system in determining the achievable throughput Impact of system and fading parameters are highlighted over the system performance Further, Monte-Carlo simulations are performed to validate the derived analytical expressions

Ergodic Capacity Analysis of Device-to-Device MIMO Relay System with Imperfect CSI

An autonomous vehicle equipped with radar is used to monitor the movement of other vehicles (targets) in the vicinity Radars on autonomous vehicles are primarily used for accurate estimation of targets' (neighboring vehicles) range and velocity to avoid collision and fatal accidents The existing linear estimator based on Fourier transform, in the multi-target scenario, is prone to yield inaccurate estimates of targets' parameters In this paper, to jointly estimate the range and velocity of multiple vehicles, an adaptive non-linear estimator based on vector-valued kernel least mean square algorithm is proposed The proposed estimator optimizes the convex cost function in reproducing kernel Hilbert space and consequently yields better estimates Further, the complexity of the proposed estimator is reduced by incorporating the sparsification technique Analytical expressions for Cramer-Rao lower bound are derived to evaluate the performance of the proposed estimator Lastly, simulation results validate the performance of the proposed estimator via convergence to a lower normalized mean square error with reasonable computational complexity

Vector-Valued KLMS based Multiple Target Range and Velocity Estimation using IEEE 802.11p Waveform for Autonomous Vehicle

The ever pervasive growth in information services and technology has resulted in the outbreak of demand for data in the wireless networks. This has made the network operators to ponder over the imminent difficulties such as computing capabilities and fronthaul-backhaul link capacities. Hence, to bridge the gap between the cloud capacity and the requirement of mobile services by the network edges, edge computing and caching techniques have been gaining more and more attention from researchers across the world. Further, motivated by the successful applications of ML in solving complex and dynamic problems, in this article, it has been used to advance edge caching capabilities. The proposed ML based algorithms have been evaluated and proved to have better performance compared with the existing conventional algorithms. The MSE, for the proposed DL algorithm, is 20-times less than the existing algorithms and while comparing with the simple neural network, the gain in MSE for the proposed DL algorithm is observed around 27%. Similarly for the FL based caching algorithm, average cache hit gain is of the order of 10^4, hence demonstrating the benefit of the proposed algorithms. Additionally, opportunities for a promising upcoming future of ML in edge computing prediction have been discussed. 

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Vimal Bhatia

Papers

Performance estimation of numerical biospeckle indexing techniques using rotating diffuser based fixed correlation modelling

Ergodic Capacity Analysis of Device-to-Device MIMO Relay System with Imperfect CSI

Vector-Valued KLMS based Multiple Target Range and Velocity Estimation using IEEE 802.11p Waveform for Autonomous Vehicle

Wireless Edge Caching and Content Popularity Prediction using Machine Learning

Non-Parametric Maximum Likelihood Channel Estimation In Non-Gaussian Noise