Metameric MIMO-OOK transmission scheme using multiple RGB LEDs

In this work, we propose a novel visible light communication (VLC) scheme utilizing multiple di erent red green and blue triplets each with a di erent emission spectrum of red, green and blue for mitigating the e ect of interference due to di erent colors using spatial multiplexing. On-o keying modulation is considered and its e ect on light emission in terms of flickering, dimming and color rendering is discussed so as to demonstrate how metameric properties have been considered. At the receiver, multiple photodiodes with color filter-tuned on each transmit light emitting diode (LED) are employed. Three di erent detection mechanisms of color zero forcing, minimum mean square error estimation and minimum mean square error equalization are then proposed. The system performance of the proposed scheme is evaluated both with computer simulations and tests with an Arduino board implementatio

Design and Analysis of Advanced Free Space Optical Communication Systems

Free space optical (FSO) communication has emerged as a viable technology for broadband wireless applications. FSO technology offers the potential of high bandwidth capacity over unlicensed optical wavelengths. On long-range FSO links, atmospheric turbulence causes intensity fluctuations, which degrades links performance. The performance of an optical link can be improved by the use of a time delayed diversity technique, which takes advantage of the fact that the atmospheric path from transmitter to receiver is statistically independent for time intervals beyond the coherence time of the intensity fluctuations. Communications performance is improved because the joint probability of error is less than the probability of error from individual channels. Theoretical analysis and experimental investigation were conducted to assess and characterize the performance of a time delayed diversity FSO system. Two experiments were conducted: inside our laboratory under simulated convective turbulence and inter-building in clear atmospheric turbulence. In both cases, time delayed diversity system is shown to offer a notable performance improvement compared to a non-diversity FSO system, where the signal-to-noise ratio (SNR) performance can gain up to 4.7 dB and the bit error rate (BER) performance is doubled. These experimental studies confirm the effectiveness of a time delayed diversity technique to mitigate turbulence induced fading, and its optimality in a dual diversity scheme. This is the first published report of theoretical and experimental performance characteristics of FSO communication system utilizing time delayed diversity technique. FSO technology has also emerged as a key technology for the development of rapidly deployable and secure communication and surveillance networks. In networking applications, broadcasting capability is frequently required to establish and maintain inter-node communications. One approach to deal with the broadcasting issue in FSO networking is the use of omnidirectional FSO links, which is based on non-directed line-of-sight (LOS) technique. Prototype omnidirectional FSO transceiver had been constructed and their performance investigated. Although omnidirectional FSO links cannot provide the performance of directional ones, the results suggest that they could be used in sensor networks or as alternative for traditional wireless networks, when the use of radio frequency (RF) technology is prohibited

Sistemas de comunicação por luz visível na segurança rodoviária

Doutoramento em MAP-TeleEsta tese apresenta um estudo exploratório sobre sistemas de comunicação por luz visível e as suas aplicações em sistemas de transporte inteligentes como forma a melhorar a segurança nas estradas. Foram desenvolvidos neste trabalho, modelos conceptuais e analíticos adequados à caracterização deste tipo de sistemas. Foi desenvolvido um protótipo de baixo custo, capaz de suportar a disseminação de informação utilizando semáforos. A sua realização carece de um estudo detalhado, nomeadamente: i) foi necessário obter modelos capazes de descrever os padrões de radiação numa área de serviço pré-definida; ii) foi necessário caracterizar o meio de comunicações; iii) foi necessário estudar o comportamento de vários esquemas de modulação de forma a optar pelo mais robusto; finalmente, iv) obter a implementação do sistema baseado em FPGA e componentes discretos. O protótipo implementado foi testado em condições reais. Os resultados alcançados mostram os méritos desta solução, chegando mesmo a encorajar a utilização desta tecnologia em outros cenários de aplicação.This thesis presents a study carried out on the exploration of visible light communication (VLC) for road safety applications in intelligent transportation systems (ITS). We developed conceptual and analytical models for the usage of VLC technologies for human safety. A low cost VLC prototype traffic broadcast system was hardware designed and implemented. In order to realize this prototype a number of exhaustive steps have been designed and implemented. An optimized illumination distribution was achieved in a defined service area from LED-based traffic lights associated with a VLC emitter. A traffic light system set-up was modeled and designed for optimum performance. The optical wireless channel was characterized and examined. Depending on the characteristics of the channel and specific applications, a robust modulation technique based on direct sequence spread spectrum using sequence inverse keying (DSSS SIK) was analyzed, developed, and implemented. The complete prototype VLC transceiver system was then implemented with field programmable gate arrays (FPGA) and discrete components. Simulation and experimental validation of system was performed in different scenarios and environments. The obtained results have shown the merits of our approach. A number of findings was experienced which are illustrated at the end. These observations would enhance and encourage potential research in the area and optimize performance of VLC systems for a number of interesting applications in future. A summary of future research challenges is presented at the end

Array Architectures and Physical Layer Design for Millimeter-Wave Communications Beyond 5G

Ever increasing demands in mobile data rates have resulted in exploration of millimeter-wave (mmW) frequencies for the next generation (5G) wireless networks. Communications at mmW frequencies is presented with two keys challenges. Firstly, high propagation loss requires base stations (BSs) and user equipment (UEs) to use a large number of antennas and narrow beams to close the link with sufficient received signal power. Consequently, communications using narrow beams create a new challenge in channel estimation and link establishment based on fine angular probing. Current mmW system use analog phased arrays that can probe only one angle at the time which results in high latency during link establishment and channel tracking. It is desirable to design low latency beam training by exploring both physical layer designs and array architectures that could replace current 5G approaches and pave the way to the communications for frequency bands in higher mmW band and sub-THz region where larger antenna arrays and communications bandwidth can be exploited. To this end, we propose a novel signal processing techniques exploiting unique properties of mmW channel, and show both theoretically, in simulation and experiments its advantages over conventional approaches. Secondly, we explore different array architecture design and analyze their trade-offs between spectral efficiency and power consumption and area. For comprehensive comparison, we have developed a methodology for optimal design of system parameters for different array architecture candidates based on the spectral efficiency target, and use these parameters to estimate the array area and power consumption based on the circuits reported in the literature. We show that the hybrid analog and digital architectures have severe scalability concerns in radio frequency signal distribution with increased array size and spatial multiplexing levels, while the fully-digital array architectures have the best performance and power/area trade-offs.The developed approaches are based on a cross-disciplinary research that combines innovation in model based signal processing, machine learning, and radio hardware. This work is the first to apply compressive sensing (CS), a signal processing tool that exploits sparsity of mmW channel model, to accelerate beam training of mmW cellular system. The algorithm is designed to address practical issues including the requirement of cell discovery and synchronization that involves estimation of angular channel together with carrier frequency offset and timing offsets. We have analyzed the algorithm performance in the 5G compliant simulation and showed that an order of magnitude saving is achieved in initial access latency for the desired channel estimation accuracy. Moreover, we are the first to develop and implement a neural network assisted compressive beam alignment to deal with hardware impairments in mmW radios. We have used 60GHz mmW testbed to perform experiments and show that neural networks approach enhances alignment rate compared to CS. To further accelerate beam training, we proposed a novel frequency selective probing beams using the true-time-delay (TTD) analog array architecture. Our approach utilizes different subcarriers to scan different directions, and achieves a single-shot beam alignment, the fastest approach reported to date. Our comprehensive analysis of different array architectures and exploration of emerging architectures enabled us to develop an order of magnitude faster and energy efficient approaches for initial access and channel estimation in mmW systems

Optimal Power Allocation for Integrated Visible Light Positioning and Communication System with a Single LED-Lamp

In this paper, we investigate an integrated visible light positioning and communication (VLPC) system with a single LED-lamp. First, by leveraging the fact that the VLC channel model is a function of the receiver's location, we propose a system model that estimates the channel state information (CSI) based on the positioning information without transmitting pilot sequences. Second, we derive the Cramer-Rao lower bound (CRLB) on the positioning error variance and a lower bound on the achievable rate with on-off keying modulation. Third, based on the derived performance metrics, we optimize the power allocation to minimize the CRLB, while satisfying the rate outage probability constraint. To tackle this non-convex optimization problem, we apply the worst-case distribution of the Conditional Value-at-Risk (CVaR) and the block coordinate descent (BCD) methods to obtain the feasible solutions. Finally, the effects of critical system parameters, such as outage probability, rate threshold, total power threshold, are revealed by numerical results.Comment: 13 pages, 14 figures, accepted by IEEE Transactions on Communication

Visible light positioning systems under imperfect synchronization and signal-dependant noise

Optical Wireless Communication (OWC) is an enabling technology for sixth-generation (6G) and beyond communication networks. Visible light communication (VLC) is a crucial branch of OWC technology expected to meet 6G communication system requirements. The VLC system can facilitate multiple functionalities simultaneously including illumination, ultra-high data rate communications, positioning such as location and navigation services. In VLC systems, a light-emitting diode (LED) functions as a transmitter. A photodetector or imaging sensor acts as a receiver and the visible light is used as the transmission medium. Researchers have shown a great deal of interest in VLC based positing and localization techniques, as visible light positioning (VLP) systems have shown better localization accuracy than radio frequency (RF) based positioning or global positioning system (GPS). This thesis considers the problem of position estimation accuracy in VLC systems in the presence of signal-dependent shot noise (SDSN). We investigate distance and 3D position estimation approaches in different scenarios, focusing on error estimation performance bounds. Additionally, this work attempts to resolve the synchronization problem found in VLP systems