27 research outputs found

    Design and implementation of an uplink connection for a light-based IoT node

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    Abstract. In the wake of soaring demand for shrinking radio frequency (RF) spectrum, light-fidelity (LiFi) has been heralded as a solution to accommodate resources for future communication networks. Infrared (IR) and visible light communication (VLC) are meant to be used within LiFi because of numerous advantages. By combining the paradigm of internet of things (IoT) along with LiFi, light-based IoT (LIoT) emerges as a potential enabler of future 6G networks. With tremendous number of interconnected devices, LIoT nodes need to be able to receive and transmit data while being energy autonomous. One of the most promising clean energy sources comes from both natural and artificial light. In addition to providing illumination and energy, light can also be utilized as a robust information carrier. In order to provide bidirectional connectivity to LIoT node, both downlink and uplink have to be taken into consideration. Whereas downlink relies on visible light as a carrier, uplink approach can be engineered freely within specific requirements. With this in mind, this masterโ€™s thesis explores possible solutions for providing uplink connectivity. After analysis of possible solutions, the LIoT proof-of-concept was designed, implemented and validated. By incorporating printed solar cell, dedicated energy harvesting unit, power-optimised microcontroller unit (MCU) and light intensity sensor the LIoT node is able to autonomously transmit data using IR

    Pointing-and-Acquisition for Optical Wireless in 6G: From Algorithms to Performance Evaluation

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    The increasing demand for wireless communication services has led to the development of non-terrestrial networks, which enables various air and space applications. Free-space optical (FSO) communication is considered one of the essential technologies capable of connecting terrestrial and non-terrestrial layers. In this article, we analyze considerations and challenges for FSO communications between gateways and aircraft from a pointing-and-acquisition perspective. Based on the analysis, we first develop a baseline method that utilizes conventional devices and mechanisms. Furthermore, we propose an algorithm that combines angle of arrival (AoA) estimation through supplementary radio frequency (RF) links and beam tracking using retroreflectors. Through extensive simulations, we demonstrate that the proposed method offers superior performance in terms of link acquisition and maintenance

    Enhancement of Optics-Based Sensor Node Localization using Multiple Base Stations

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2013. 8. ๋ฐ•์ฐฌ๊ตญ.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” MEMS(Micro-Electro-Mechanical Systems) CCR(Corner Cube Retroreflector)์„ ์ด์šฉํ•œ ๊ด‘ ์‹ ํ˜ธ ๊ธฐ๋ฐ˜ ๋ฌด์„  ์„ผ์„œ ๋„คํŠธ์›Œํฌ์˜ ์„ผ์„œ ๋…ธ๋“œ ์œ„์น˜ ์ธ์‹์„ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•ด ์‹ค์ œ ํ™˜๊ฒฝ์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋ฌธ์ œ์ ๋“ค์„ ๋ถ„์„ํ•˜์—ฌ ์ด๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•œ ๋‹ค์ค‘ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜ ์‹œ์Šคํ…œ์„ ์ œ์•ˆํ•œ๋‹ค. ๊ทธ ํ›„ ์ œ์•ˆํ•œ ์‹œ์Šคํ…œ์„ ์ด์šฉํ•œ ์œ„์น˜ ์‹คํ—˜์„ ํ†ตํ•˜์—ฌ ๊ทธ ์„ฑ๋Šฅ์„ ๊ฒ€์ฆํ•œ๋‹ค. ๊ด‘ ์‹ ํ˜ธ ๊ธฐ๋ฐ˜ ์„ผ์„œ ๋…ธ๋“œ ์œ„์น˜ ์ธ์‹ ์‹œ์Šคํ…œ์€ ํšŒ์ „ํ•˜๋Š” ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜์—์„œ ๋ฐœ์‚ฌ๋œ ๊ด‘์‹ ํ˜ธ์˜ ์ถœ๋ฐœ์‹œ๊ฐ„๊ณผ ์„ผ์„œ ๋…ธ๋“œ์— ๋ถ€์ฐฉ๋œ MEMS CCR์— ๋ฐ˜์‚ฌ๋˜์–ด ๋˜๋Œ์•„์˜ค๋Š” ๋„์ฐฉ์‹œ๊ฐ„ ์ฐจ์ด๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฑฐ๋ฆฌ๋ฅผ ๊ณ„์‚ฐํ•˜๊ณ , ๊ฑฐ๋ฆฌ๊ฐ€ ๊ณ„์‚ฐ๋  ๋•Œ์˜ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜์˜ ํšŒ์ „๊ฐ์„ ์ธก์ •ํ•จ์œผ๋กœ์จ ์ด๋ฃจ์–ด์ง„๋‹ค. MEMS CCR์€ ์„ธ ๊ฐœ์˜ ๋ฐ˜์‚ฌ๋ฉด์ด ์„œ๋กœ ์ˆ˜์ง์„ ์ด๋ฃจ๊ณ  ์žˆ๋Š” ๋งˆ์ดํฌ๋กœ ๋ฏธํ„ฐ ๊ธ‰์˜ ํฌ๊ธฐ์˜ ๋ฐ˜์‚ฌ์ฒด๋กœ์จ ์ž…์‚ฌํ•œ ๊ด‘ ์‹ ํ˜ธ๋ฅผ ์ž…์‚ฌ ๋ฐฉํ–ฅ์˜ ํ‰ํ–‰ํ•œ ๋ฐฉํ–ฅ์œผ๋กœ ๋ฐ˜์‚ฌ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ์‹ค์ œ ์ด ์‹œ์Šคํ…œ์„ ๊ฐ€์ง€๊ณ  MEMS CCR ์„ ์œ„์น˜ ์ธ์‹ํ•˜๋Š” ์„ผ์„œ ๋„คํŠธ์›Œํฌ๋ฅผ ๊ตฌ์„ฑํ•  ๋•Œ ๋ฌธ์ œ์ ์ด ๋ฐœ์ƒํ•œ๋‹ค. ์ฒซ ๋ฒˆ์งธ๋กœ MEMS CCR์—์„œ ๋ฐ˜์‚ฌ๋˜์–ด ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜์œผ๋กœ ๋Œ์•„์˜ค๋Š” ๊ด‘ ์‹ ํ˜ธ์˜ ์„ธ๊ธฐ๊ฐ€ ๋ฏธ์•ฝํ•˜์—ฌ ์•ฝ 30~40cm์ •๋„ ๋ฐ–์— ์ธก์ • ๊ฑฐ๋ฆฌ๊ฐ€ ๋˜์ง€ ์•Š๋Š” ๋ฌธ์ œ์ ๊ณผ, ๋ฌด์ž‘์œ„์ ์œผ๋กœ ๋ถ„ํฌ๋œ ์„ผ์„œ ๋…ธ๋“œ๊ฐ€ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜๊ณผ ์ผ์ง์„ ์œผ๋กœ ๋ฐฐ์—ด๋  ๊ฒฝ์šฐ ๊ด‘ ์‹ ํ˜ธ์˜ ์ง์ง„์„ฑ์œผ๋กœ ์ธํ•ด ๊ด‘ ์‹ ํ˜ธ๊ฐ€ ๋„๋‹ฌํ•˜์ง€ ๋ชปํ•ด ์œ„์น˜ ์ธ์‹์ด ๋˜์ง€ ์•Š๋Š” ๋ฌธ์ œ์ ์ด๋‹ค. ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ ์ž ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ์•ˆ์„ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ๋จผ์ € MEMS CCR์— ๊ด‘์‹ ํ˜ธ๊ฐ€ ๋ฐ˜์‚ฌ๋˜์–ด ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜์œผ๋กœ ๋Œ์•„์˜ค๋Š” ๊ณผ์ •์„ ๋ถ„์„ํ•˜์—ฌ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜์—์„œ MEMS CCR์„ ๊ฒ€์ถœํ•˜๊ธฐ ์œ„ํ•ด ํ•„์š”ํ•œ ํ•˜๋“œ์›จ์–ด์˜ ์‚ฌ์–‘์— ๋Œ€ํ•œ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ทธ ๋‹ค์Œ์œผ๋กœ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜ ์‹œ์Šคํ…œ์˜ ๊ตฌ์กฐ๋ฅผ ๋ณ€๊ฒฝํ•˜์—ฌ ๋‹ค๋ฅธ ์œ„์น˜ ์ธ์‹ ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜๊ฑฐ๋‚˜ MEMS CCR์˜ ๋ณ€๊ฒฝ์„ ์ œ์•ˆํ•˜์—ฌ ๊ฒฐ๊ณผ์ ์œผ๋กœ ๊ธฐ์กด์˜ ์ธก์ • ๊ฐ€๋Šฅ ๊ฑฐ๋ฆฌ๋ฅผ 4๋ฐฐ ์ด์ƒ ํ–ฅ์ƒ ์‹œ์ผฐ๋‹ค. ๋ฌด์ž‘์œ„์ ์œผ๋กœ ๋ถ„ํฌ๋œ ์„ผ์„œ ๋…ธ๋“œ์˜ ๋ฌธ์ œ๋Š” ๊ธฐ์กด์˜ ๋‹จ์ผ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜์ด ์•„๋‹Œ ๋‹ค์ค‘ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜ ์‹œ์Šคํ…œ์„ ์ œ์•ˆํ•˜์—ฌ ํ•ด๊ฒฐํ•˜์˜€๋‹ค. ๊ทธ ํ›„ ์œ„์˜ ๋‘ ๋ฌธ์ œ์ ์„ ํ•ด๊ฒฐํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋œ ๋‹ค์ค‘ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜ ์‹œ์Šคํ…œ์„ ์ ์šฉํ•œ ์„ผ์„œ ๋…ธ๋“œ ์œ„์น˜ ์ธ์‹ ์‹คํ—˜์„ ํ†ตํ•˜์—ฌ ์œ„์น˜ ์ธ์‹ ์„ฑ๋Šฅ์˜ ํ–ฅ์ƒ ๋ฉด์—์„œ๋„ ํšจ์šฉ์„ฑ์ด ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์‹ค์ œ ์„ผ์„œ ๋„คํŠธ์›Œํฌ ๊ตฌ์„ฑ์— ๋‹ค์ค‘ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜ ์‹œ์Šคํ…œ์ด ํ•„์ˆ˜์ ์ด๋ผ๋Š” ๊ฒฐ๋ก ์„ ๋‚ด๋ฆด ์ˆ˜ ์žˆ์—ˆ๋‹ค.๋ชฉ ์ฐจ ์ดˆ๋ก โ…ฐ ๋ชฉ์ฐจ โ…ฐโ…ด ํ‘œ ๋ชฉ์ฐจ โ…ดโ…ฐ ๊ทธ๋ฆผ ๋ชฉ์ฐจ โ…ดโ…ฐโ…ฐ 1. ์„œ ๋ก  1 1.1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 1.2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  ๋ฐ ๋‚ด์šฉ 6 2. ์œ„์น˜ ์ธ์‹ ์‹œ์Šคํ…œ ๋ถ„์„ 9 2.1 ToF ์Šค์บ๋‹ ์‹œ์Šคํ…œ์˜ ์›๋ฆฌ 9 2.2 ์‹ค์ œ ์ ์šฉ์— ๋ฐœ์ƒํ•˜๋Š” ๋ฌธ์ œ์  ๋ถ„์„ 13 3. ์‹ค์ œ ์ ์šฉ์„ ์œ„ํ•œ ์‹œ์Šคํ…œ ๊ฐœ์„  ์—ฐ๊ตฌ 15 3.1 ๊ฑฐ๋ฆฌ์— ๋”ฐ๋ฅธ ๊ฒ€์ถœ ์กฐ๊ฑด ๋ถ„์„ 17 3.1.1 ์ž…์‚ฌ ๊ด‘ ์‹ ํ˜ธ์˜ ๊ด‘ ๋ฐ€๋„ 19 3.1.2 ์œ ํšจ ๋ฐ˜์‚ฌ ๋ฉด์  21 3.1.3 ๋ฐ˜์‚ฌ์œจ 24 3.1.4 ๊ด‘ ๋ถ„๋ฆฌ๊ธฐ 25 3.1.5 ์ตœ๋Œ€ ๋ฐ˜์‚ฌ ๊ด‘ ์‹ ํ˜ธ ์„ธ๊ธฐ 26 3.1.6 ์ด๋ก  ์‹๊ณผ ์ธก์ •์น˜์˜ ๋น„๊ต 27 3.1.7 ์ด๋ก  ์‹์„ ํ†ตํ•œ ํŒŒ๋ผ๋ฏธํ„ฐ ์‹๋ณ„ 29 3.2 ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜์˜ ๋ณ€๊ฒฝ์„ ํ†ตํ•œ ์„ฑ๋Šฅ ํ–ฅ์ƒ 31 3.2.1 AoA ์œ„์น˜ ์ธ์‹ ๊ธฐ๋ฒ• 34 3.2.2 Lighthouse ์œ„์น˜ ์ธ์‹ ๊ธฐ๋ฒ• 36 3.2.3 ์œ„์น˜ ์ธ์‹ ๊ธฐ๋ฒ•์˜ ์„ฑ๋Šฅ ๋น„๊ต 38 3.3 MEMS CCR์˜ ๋ณ€๊ฒฝ์„ ํ†ตํ•œ ์„ฑ๋Šฅ ํ–ฅ์ƒ 40 3.4 ๋‹ค์ค‘ ๋ฒ ์ด์Šค ์Šคํ…Œ์ด์…˜ ๊ตฌ์„ฑ 43 4. ์œ„์น˜ ์ธ์‹ ์‹คํ—˜ ๋ฐ ๊ฒฐ๊ณผ ๋ถ„์„ 45 4.1 ์‹คํ—˜ ์กฐ๊ฑด 46 4.2 ์‹คํ—˜ ๊ฒฐ๊ณผ ๋ถ„์„ 48 5. ๊ฒฐ๋ก  ๋ฐ ์ถ”ํ›„ ์—ฐ๊ตฌ ๊ณผ์ œ 52 ์ฐธ๊ณ ๋ฌธํ—Œ 55 Abstract 59Maste

    Coherent Retroreflective Metasurfaces

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    Inhomogeneous metasurfaces have shown possibilities for unprecedented control of wave propagation and scattering. While it is conventional to shine a single incident plane wave from one side of these metastructures, illuminating by several waves simultaneously from both sides may enhance possibilities to control scattered waves, which results in additional functionalities and novel applications. Here, we unveil how using coherent plane-wave illumination of a properly designed inhomogeneous metasurface sheet it is possible to realize controllable retroreflection. We call these metasurfaces as "coherent retroreflectors" and explain the method for realizing them both in theory and practice. We show that coherent retroreflectors can be used for filtering undesired modes and creation of field-localization regions in waveguides. The latter application is in resemblance to bound states in the radiation continuum.Comment: 6 pages, 4 figure

    Wide-Angle Ceramic Retroreflective Luneburg Lens Based on Quasi-Conformal Transformation Optics for Mm-Wave Indoor Localization

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    This paper presents a quasi-conformal transformation optics (QCTO) based three-dimensional (3D) retroreflective attened Luneburg lens for wide-angle millimeter-wave radio-frequency indoor localization. The maximum detection angle and radar cross-section (RCS) are investigated, including an impedance matching layer (IML) between the lens antenna and the free-space environment. The 3D QCTO Luneburg lenses are fabricated in alumina by lithography-based ceramic manufacturing, a 3D printing process. The manufactured structures have a diameter of 29.9 mm (4 lambda_0), showing a maximum realized gain of 16.51 dBi and beam steering angle of +-70ยฐ at 40 GHz. The proposed QCTO Luneburg lens with a metallic reflective layer achieves a maximum RCS of -20.05 dBsqm at 40 GHz with a wide-angle response over +-37ยฐ, while the structure with an IML between the lens and air improves these values to a maximum RCS of -15.78 dBsqm and operating angular response between +-50ยฐ

    Design, analysis and optimization of visible light communications based indoor access systems for mobile and internet of things applications

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    Demands for indoor broadband wireless access services are expected to outstrip the spectrum capacity in the near-term spectrum crunch . Deploying additional femtocells to address spectrum crunch is cost-inefficient due to the backhaul challenge and the exorbitant system maintenance. According to an Alcatel-Lucent report, most mobile Internet access traffic happens indoors. To alleviate the spectrum crunch and the backhaul challenge problems, visible light communication (VLC) emerges as an attractive candidate for indoor wireless access in the 5G architecture. In particular, VLC utilizes LED or fluorescent lamps to send out imperceptible flickering light that can be captured by a smart phone camera or photodetector. Leveraging power line communication and the available indoor infrastructure, VLC can be utilized with a small one-time cost. VLC also facilitates the great advantage of being able to jointly perform illumination and communications. Integration of VLC into the existing indoor wireless access networks embraces many challenges, such as lack of uplink infrastructure, excessive delay caused by blockage in heterogeneous networks, and overhead of power consumption. In addition, applying VLC to Internet-of-Things (IoT) applications, such as communication and localization, faces the challenges including ultra-low power requirement, limited modulation bandwidth, and heavy computation and sensing at the device end. In this dissertation, to overcome the challenges of VLC, a VLC enhanced WiFi system is designed by incorporating VLC downlink and WiFi uplink to connect mobile devices to the Internet. To further enhance robustness and throughput, WiFi and VLC are aggregated in parallel by leveraging the bonding technique in Linux operating system. Based on dynamic resource allocation, the delay performance of heterogeneous RF-VLC network is analyzed and evaluated for two different configurations - aggregation and non-aggregation. To mitigate the power consumption overhead of VLC, a problem of minimizing the total power consumption of a general multi-user VLC indoor network while satisfying users traffic demands and maintaining an acceptable level of illumination is formulated. The optimization problem is solved by the efficient column generation algorithm. With ultra-low power consumption, VLC backscatter harvests energy from indoor light sources and transmits optical signals by modulating the reflected light from a reflector. A novel pixelated VLC backscatter is proposed and prototyped to address the limited modulation bandwidth by enabling more advanced modulation scheme than the state-of-the-art on-off keying (OOK) scheme and allowing for the first time orthogonal multiple access. VLC-based indoor access system is also suitable for indoor localization due to its unique properties, such as utilization of existing ubiquitous lighting infrastructure, high location and orientation accuracy, and no interruption to RF-based devices. A novel retroreflector-based visible light localization system is proposed and prototyped to establish an almost zero-delay backward channel using a retroreflector to reflect light back to its source. This system can localize passive IoT devices without requiring computation and heavy sensing (e.g., camera) at the device end

    Nanophotonic beamsteering elements using silicon technology for wireless optical applications

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