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IEEE 2017-2018 WIRELESS COMMUNICATION TITLES Abstract— Large-scale MIMO systems are well known for their advantages in communications, but they also have the potential for providing very accurate localization thanks to their high angular resolution. A difficult problem arising indoors and outdoors is localizing users over multipath channels. Localization based on angle of arrival (AOA) generally involves a two-step procedure, where signals are first processed to obtain a ser’s AOA at different base stations, followed by triangulation to determine the user’s position. In the presence of multi path, the performance of these methods is greatly degraded due to the inability to correctly detect and/or estimate the AOA of the line of- sight (LOS) paths. To counter the limitations of this two-step procedure which is inherently sub-optimal, we propose a direct localization approach in which the position of a user is localized by jointly processing the observations obtained at distributed massive MIMO base stations. Our approach is based on a novel compressed sensing framework that exploits channel properties to distinguish LOS from non-LOS signal paths, and leads to improved performance results compared to previous existing methods. CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017-2018 WIRELESS COMMUNICATION TITLES Diaper-Embedded Urinary Tract Infection Monitoring Sensor Module Powered by Urine-Activated Batteries Abstract— Urinary tract infection (UTI) is one of the most common infections in humans. UTI is easily treatable using antibiotics if identified in early stage. However, without early identification and treatment, UTI can be a major source of serious complications ingeriatric patients, in particular, those suffering from neurode generative diseases. Also, for infants who have difficulty in describing their symptoms, UTI may lead to serious developmnt of the disease making early identification of UTI crucial. In this paper, we present a diaper-embedded, wireless, self-powered, and autonomous UTI monitoring sensor module that allows an early detection of UTI with minimal effort. The sensor module consists of a paper-based colorimetric nitrite sensor, urine-activated batteries, a boost dc–dc converter, a low-power sensor interface utilizing pulse width modulation, and a Bluetooth low energy module for wireless transmission. Experimental results show a better detection of nitrite, a surrogate of UTI, than that of conventional dipstick testing. The proposed sensor module achieves a sensitivity of 1.35 ms/(mg/L) and a detection limit of 4 mg/L for nitrite. CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017-2018 WIRELESS COMMUNICATION TITLES Demonstration of a Passive Wireless Radiation Detector using Fully-Depleted Silicon-on-Insulator Variable Capacitors Abstract— Passive wireless sensing of Co-60 gamma radiation using fully-depleted silicon-on-insulator (FDSOI) variable capacitors is demonstrated. A linear relationship between resonant frequency and radiation dose is observed for water-equivalent doses up to 100 Gy, with a frequency change per unit dose of -2.02 kHz/Gy. These results show FDSOI technology has the potential to realize ultra-small passive wireless radiation dosimeters with high sensitivity for a wide range of medical and security applications. CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017-2018 WIRELESS COMMUNICATION TITLES Delta-Sigma Encoder for Low Power Wireless Bio-sensors using Ultra Wideband Impulse Radio Abstract— This brief presents a systematic method to reduce power consumption of a wireless sensor node for sensing biomedical signals. The design combines the Delta-Sigma modulator, the Ultra Wide band impulse radio, and the proposed XNOR-Delay based encoder/decoder, which replaces the decimation filter. The encoder/decoder for both the first and second order Delta-Sigma modulators are presented. The clock synchronization problem is solved by using an asynchronous Ultra Wide band impulse radio.Effects of window length, the order of Delta-Sigma modulation, and the oversampling ratio are studied by simulation using neural and electrocardiography signals. Based on the simulation results, the proposed method can save power by 50% compared to the system with decimation filters, and 53% compared to the system without the proposed encoder CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017-2018 WIRELESS COMMUNICATION TITLES Delay-Sensitive Area Spectral Efficiency: A Performance Metric for Delay-Constrained Green Networks Abstract This paper introduces a new metric, referred to as delay-sensitive area spectral efficiency (DASE), to analyze the performance of delay-constrained wireless networks. We study DASE in different pointto- point, spectrum sharing, interference and Poisson point process-based dense network configurations and with different levels of channel state information (CSI) at the transmitters. Also, we determine the optimal rates/powers optimizing DASE. Finally, we use some recent results on finite block-length codes to analyze the effect of the code words length on the network DASE. As demonstrated, DASE is a useful metric for analyzing delay-sensitive green networks. Moreover, adaptive power allocation and partial CSI feedback are powerful tools for performance improvement in green networks. CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017-2018 WIRELESS COMMUNICATION TITLES Data-Driven Adaptive Optimal Control of Connected Vehicles Abstract— In this paper, a data-driven non-model-based approach is proposed for the adaptive optimal control of a class of connected vehicles that is composed of n human-driven vehicles only transmitting motional data and an autonomous vehicle in the tail receiving the broad casted data from preceding vehicles by wireless vehicle-to-vehicle (V2V) communication devices. Considering the cases of range-limited V2V communication and input saturation, several optimal control problems are formulated to minimize the errors of distance and velocity and to optimize the fuel usage. By employing an adaptive dynamic programming technique, the optimal controllers are obtained without relying on the knowledge of system dynamics. The effectiveness of the proposed approaches is demonstrated via the online learning control of the connected vehicles in Paramics’ traffic microsimulation.