Wireless and Optical Communications Conference 

About: Wireless and Optical Communications Conference is an academic conference. The conference publishes majorly in the area(s): Computer science & MIMO. Over the lifetime, 967 publications have been published by the conference receiving 4676 citations.

Modulation classification using convolutional Neural Network based deep learning model

Abstract: Deep learning (DL) is a powerful classification technique that has great success in many application domains However, its usage in communication systems has not been well explored In this paper, we address the issue of using DL in communication systems, especially for modulation classification Convolutional neural network (CNN) is utilized to complete the classification task We convert the raw modulated signals into images that have a grid-like topology and feed them to CNN for network training Two existing approaches, including cumulant and support vector machine (SVM) based classification algorithms, are involved for performance comparison Simulation results indicate that the proposed CNN based modulation classification approach achieves comparable classification accuracy without the necessity of manual feature selection

Undersampled frequency shift ON-OFF keying (UFSOOK) for camera communications (CamCom)

Abstract: Camera communications is the use of an image sensor to receive LED modulated data This paper shows how frequency shift ON-OFF keying - at frequencies that avoid flicker - can be used to encode bits while at the same time being successfully decoded by a low frame rate camera using subsampling This is done by selecting mark and space frequencies that are harmonics of the camera frame rate and then processing the subsampled aliased frequencies to decode bit data

Broadband wireless communications on high speed trains

Abstract: This tutorial paper provides a comprehensive overview on the recent development in broadband wireless communications for high speed trains. Starting with the introduction of the two-hop network structure, radio-over-fiber (RoF) based cell planning is described in detail. Moreover, based on the analysis of differences between conventional cellular systems and the one for high speed trains, promising techniques are recommended to improve the performance of handover, which is one of the main challenges in high speed train communications. Finally, in order to combat the fast fading caused by the high mobility, robust algorithms are needed in physical layer signal processing, including synchronization, channel estimation, modulation/demodulation, and so on.

Joint LED dimming and high capacity visible light communication by overlapping PPM

Abstract: Piggybacking communication by illumination LEDs provides additional valuable functionality to LED lighting fixtures as optical communication transmitters at little cost. However, joint dimming control and high data-rate communication requires proper supporting protocols under the bandwidth limitation of LEDs. This paper applies overlapping pulse position modulation (OPPM) to achieve high capacity communication and flexible dimming. It then analyzes both illumination and communication performance in terms of dimming range, flicker severity index, cutoff data rate, and power and bandwidth efficiencies, all comparing against OOK and variable PPM modulation schemes. The results show the best performance using OPPM, making it an ideal candidate technology for emerging visible light communication.

Applying Internet of Things for personalized healthcare in smart homes

Abstract: The paper advocates for applying Internet of Things (IoT) for personalized healthcare in smart homes. An IoT architecture is presented which enables such healthcare services. Continuous monitoring of physical parameters and processing of the medical data form the basis of smarter, connected and personalized healthcare. The core functionalities of the IoT architecture are exposed using RESTful web services to the consumers. The main contributions of the paper are: (i) providing a unified approach for discovery, management and interaction with physical devices, (ii) utilizing Machine-to-Machine Measurement (M3) framework to generate high level abstraction from wearable sensors, (iii) combining cross-domain sensor data using M3 and (iv) controlling home automation devices based on health sensor information. Prototype implementations and performance evaluations of the architecture components are discussed.