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    ์ž์œจ์ฃผํ–‰์„ ์œ„ํ•œ V2X ๊ธฐ๋ฐ˜ ์ฐจ๋Ÿ‰ CDN ์„ค๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณตํ•™์ „๋ฌธ๋Œ€ํ•™์› ์‘์šฉ๊ณตํ•™๊ณผ, 2021. 2. ๊น€์„ฑ์šฐ.Recent technical innovation has driven the evolution of autonomous vehicles. To improve safety as well as on-road vehicular experience, vehicles should be connected with each other or to vehicular networks. Some specification groups, e.g., IEEE and 3GPP, have studied and released vehicular communication requirements and architecture. IEEEs Wireless Access in Vehicular Environment focuses on dedicated and short-range communication, while 3GPPs New radio V2X supports not only sidelink but also uplink communication. The 3GPP Release 16, which supports 5G New Radio, offers evolved functionalities such as network slice, Network Function Virtualization, and Software-Defined Networking. In this study, we define and design a vehicular network architecture compliant with 5G core networks. For localization of autonomous driving vehicles, a high-definition map needs to contain the context of trajectory . We also propose new methods by which autonomous vehicles can push and pull map content efficiently, without causing bottlenecks on the network core. We evaluate the performance of V2X and of the proposed caching policy via network simulations. Experimental results indicate that the proposed method improves the performance of vehicular content delivery in real-world road environments.์ตœ๊ทผ๋“ค์–ด ๊ธฐ์ˆ ์˜ ํ˜์‹ ์€ ์ž์œจ์ฃผํ–‰ ์ž๋™์ฐจ์˜ ๋ฐœ์ „์„ ๊ฐ€์†ํ™” ํ•˜๊ณ  ์žˆ๋‹ค. ๋ณด๋‹ค ๋†’์€ ์ˆ˜์ค€์˜ ์ž์œจ ์ฃผํ–‰์„ ๊ตฌํ˜„ํ•˜๊ธฐ ์œ„ํ•ด์„œ, ์ฐจ๋Ÿ‰์€ ๋„คํŠธ์›Œํฌ๋ฅผ ํ†ตํ•ด ์„œ๋กœ ์—ฐ๊ฒฐ๋˜์–ด ์žˆ์–ด์•ผ ํ•˜๊ณ  ์ฐจ๋Ÿ‰์˜ ์•ˆ์ „๊ณผ ํŽธ์˜์„ฑ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ์ •๋ณด๋ฅผ ๊ณต์œ  ํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. ํ‘œ์ค€ํ™” ๋‹จ์ฒด์ธ IEEE์™€ 3GPP๋Š” ์ฐจ๋Ÿ‰ ํ†ต์‹  ์š”๊ตฌ์‚ฌํ•ญ, ์•„ํ‚คํ…์ฒ˜๋ฅผ ์—ฐ๊ตฌํ•˜๊ณ  ๊ฐœ์ •ํ•ด์™”๋‹ค. IEEE๊ฐ€ ์ „์šฉ ์ฑ„๋„์„ ํ†ตํ•œ ๊ทผ์ ‘ ์ง€์—ญ ํ†ต์‹ ์— ์ดˆ์ ์„ ๋งž์ถ”๋Š” ๋ฐ˜๋ฉด์—, 3GPP์˜ New Radio V2X๋Š” Sidelink ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ Uplink ํ†ต์‹ ์„ ๋™์‹œ์— ์ง€์›ํ•œ๋‹ค. 5G ํ†ต์‹ ์„ ์ง€์›ํ•˜๋Š” 3GPP Release 16์€ Network Slice, NFV, SDN๊ณผ ๊ฐ™์€ ์ƒˆ๋กœ์šด ํ†ต์‹  ๊ธฐ๋Šฅ๋“ค์„ ์ œ๊ณตํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ƒˆ๋กญ๊ฒŒ ์ •์˜๋œ 5G Core Network Architecture๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ฐจ๋Ÿ‰ ๋„คํŠธ์›Œํฌ๋ฅผ ์ •์˜ํ•˜๊ณ  ์„ค๊ณ„ํ•˜์˜€๋‹ค. ์ž์œจ์ฃผํ–‰ ์ž๋™์ฐจ์˜ ์ธก์œ„๋ฅผ ์œ„ํ•ด์„œ, ๊ณ ํ•ด์ƒ๋„ ์ง€๋„๋Š” ๊ฐ ๊ตฌ์„ฑ์š”์†Œ๋“ค์˜ ์˜๋ฏธ์™€ ์†์„ฑ์„ ์ž์„ธํ•˜๊ฒŒ ํฌํ•จํ•˜๊ณ  ์žˆ์–ด์•ผ ํ•œ๋‹ค. ์šฐ๋ฆฌ๋Š” ์ด ์—ฐ๊ตฌ์—์„œ V2X ๋„คํŠธ์›Œํฌ ์ƒ์— HD map์„ ์ค‘๊ณ„ํ•  ์ˆ˜ ์žˆ๋Š” Edge Server๋ฅผ ์ œ์•ˆ ํ•จ์œผ๋กœ์จ, ์ค‘์•™์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋ณ‘๋ชฉํ˜„์ƒ์„ ์ค„์ด๊ณ  ์ „์†ก Delay๋ฅผ ์ตœ์†Œํ™”ํ•œ๋‹ค. ๋˜ํ•œ Edge์˜ ์ปจํ…์ธ ๋ฅผ ๋“ฑ๋กํ•˜๊ณ  ์‚ญ์ œํ•˜๋Š” ์ •์ฑ…์œผ๋กœ ๊ธฐ์กด์˜ LRU, LFU๊ฐ€ ์•„๋‹Œ ์ƒˆ๋กœ์šด ์ปจํ…์ธ  ๊ต์ฒด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์‹ค์ œ ์ฃผํ–‰ ์‹œํ—˜๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•œ ์‹คํ—˜์„ ํ†ตํ•ด ์ „์†ก ํ’ˆ์งˆ์„ ํ–ฅ์ƒ์‹œ์ผฐ์œผ๋ฉฐ, Edge ์ปจํ…์ธ ์˜ ํ™œ์šฉ๋„๋ฅผ ๋†’์˜€๋‹ค.I. Introduction 1 II. Related Works 6 2.1 V2X Standardization 6 2.1.1 IEEE WAVE 6 2.1.2 3GPP C-V2X 9 2.2 Geographic Contents 14 2.3 Vehicular Content Centric Network 17 III. System Modeling 20 3.1 NR-V2X Architecture Analysis 20 3.2 Caching Strategy for HD Map Acquisition 23 IV. Evaluation 30 4.1 Contents Replacement Strategy 30 4.2 V2X Characteristics 36 4.3 Edge Performance in Driving on the Road 38 4.4 Edge Performance on 3D Point Clouds Caching for Localization 44 V. Conclusion 47 Bibliography 49 Abstract 54Maste

    Channel Sounding for the Masses: Low Complexity GNU 802.11b Channel Impulse Response Estimation

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    New techniques in cross-layer wireless networks are building demand for ubiquitous channel sounding, that is, the capability to measure channel impulse response (CIR) with any standard wireless network and node. Towards that goal, we present a software-defined IEEE 802.11b receiver and CIR estimation system with little additional computational complexity compared to 802.11b reception alone. The system implementation, using the universal software radio peripheral (USRP) and GNU Radio, is described and compared to previous work. By overcoming computational limitations and performing direct-sequence spread-spectrum (DS-SS) matched filtering on the USRP, we enable high-quality yet inexpensive CIR estimation. We validate the channel sounder and present a drive test campaign which measures hundreds of channels between WiFi access points and an in-vehicle receiver in urban and suburban areas

    Multi Detector Fusion of Dynamic TOA Estimation using Kalman Filter

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    In this paper, we propose fusion of dynamic TOA (time of arrival) from multiple non-coherent detectors like energy detectors operating at sub-Nyquist rate through Kalman filtering. We also show that by using multiple of these energy detectors, we can achieve the performance of a digital matched filter implementation in the AWGN (additive white Gaussian noise) setting. We derive analytical expression for number of energy detectors needed to achieve the matched filter performance. We demonstrate in simulation the validity of our analytical approach. Results indicate that number of energy detectors needed will be high at low SNRs and converge to a constant number as the SNR increases. We also study the performance of the strategy proposed using IEEE 802.15.4a CM1 channel model and show in simulation that two sub-Nyquist detectors are sufficient to match the performance of digital matched filter

    Whitepaper on New Localization Methods for 5G Wireless Systems and the Internet-of-Things

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    Radio Propagation Channel Characterization and MIMO Over-the-Air Testing

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    A Survey of Positioning Systems Using Visible LED Lights

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    ยฉ 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.As Global Positioning System (GPS) cannot provide satisfying performance in indoor environments, indoor positioning technology, which utilizes indoor wireless signals instead of GPS signals, has grown rapidly in recent years. Meanwhile, visible light communication (VLC) using light devices such as light emitting diodes (LEDs) has been deemed to be a promising candidate in the heterogeneous wireless networks that may collaborate with radio frequencies (RF) wireless networks. In particular, light-fidelity has a great potential for deployment in future indoor environments because of its high throughput and security advantages. This paper provides a comprehensive study of a novel positioning technology based on visible white LED lights, which has attracted much attention from both academia and industry. The essential characteristics and principles of this system are deeply discussed, and relevant positioning algorithms and designs are classified and elaborated. This paper undertakes a thorough investigation into current LED-based indoor positioning systems and compares their performance through many aspects, such as test environment, accuracy, and cost. It presents indoor hybrid positioning systems among VLC and other systems (e.g., inertial sensors and RF systems). We also review and classify outdoor VLC positioning applications for the first time. Finally, this paper surveys major advances as well as open issues, challenges, and future research directions in VLC positioning systems.Peer reviewe
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