58 research outputs found

    Performance Analysis on Device-to-Device Communication in Downlink Cellular Networks

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2015. 2. ๋ฐ•์„ธ์›….๋ฌด์„  ๋„คํŠธ์›Œํฌ์˜ ์ŠคํŽ™ํŠธ๋Ÿผ ํšจ์œจ์„ ๋†’์ด๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜๋กœ D2D(device-to-device) ํ†ต์‹ ์ด ์ฃผ๋ชฉ๋ฐ›๊ณ  ์žˆ๋‹ค. ๊ธฐ์กด์˜ D2D ํ†ต์‹ ์˜ ์„ฑ๋Šฅ์„ ์˜ฌ๋ฆฌ๊ฑฐ๋‚˜ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ๋“ค์€ instantaneousํ•œ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ด์šฉํ•˜์—ฌ ํŠน์ • ์ƒํ™ฉ์—์„œ์˜ optimal solution์„ ์ฐพ๋Š” ๋ฐ์— ์ค‘์ ์„ ๋‘์—ˆ์ง€๋งŒ, ์ตœ๊ทผ์—๋Š” ํ™•๋ฅ ๊ธฐํ•˜๋ฅผ ์ด์šฉํ•˜์—ฌ D2D ํ†ต์‹ ์˜ ์„ฑ๋Šฅ์„ statisticalํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ์ ‘๊ทผํ•˜๋Š” ์—ฐ๊ตฌ๋“ค์ด ๋ฐœํ‘œ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ถ„์„์€ ํŠน์ • ์‹œ๊ฐ„์—์„œ๋Š” optimal์ด ์•„๋‹์ง€ ๋ชจ๋ฅด์ง€๋งŒ ๊ธด ์‹œ๊ฐ„์˜ ์ธก๋ฉด์—์„œ๋Š” ์•ž์„  ๊ธฐ๋ฒ•๋ณด๋‹ค ์ข‹์€ ์„ฑ๋Šฅ์„ ๋ณด์ผ ์ˆ˜ ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ๋งŽ์€ ์—ฐ๊ตฌ๋“ค์ด ์ƒํ–ฅ๋งํฌ ์ฑ„๋„์—์„œ์˜ D2D ํ†ต์‹ ์— ์ง‘์ค‘๋˜์–ด ์žˆ๊ณ , ํ•˜ํ–ฅ๋งํฌ ์ฑ„๋„์—์„œ์˜ D2D ํ†ต์‹ ์˜ ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•œ ๋…ผ๋ฌธ์€ ๋งŽ์ง€ ์•Š๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” mode selection๊ณผ power control์„ ๊ณ ๋ คํ•œ ํ•˜ํ–ฅ๋งํฌ ์ฑ„๋„์—์„œ์˜ D2D ํ†ต์‹  ์„ฑ๋Šฅ์„ ํ†ต๊ณ„์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ํ•˜ํ–ฅ๋งํฌ ์ฑ„๋„์—์„œ์˜ D2D ํ†ต์‹ ์€ ์ƒํ–ฅ๋งํฌ ์ฑ„๋„์—์„œ์˜ D2D์™€๋Š” ๋‹ค๋ฅธ ํŠน์„ฑ์„ ๊ฐ–๊ธฐ ๋•Œ๋ฌธ์— ๊ธฐ์กด์˜ ์ƒํ–ฅ๋งํฌ ์ฑ„๋„์—์„œ D2D ํ†ต์‹ ์„ ๊ณ ๋ คํ•œ ๋…ผ๋ฌธ๋“ค๊ณผ๋Š” ๋‹ค๋ฅธ mode selection ๊ธฐ์ค€์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ธฐ์ง€๊ตญ๊ณผ์˜ ๊ฑฐ๋ฆฌ, D2D ๋งํฌ์˜ ๊ฑฐ๋ฆฌ, ๊ฐ€๊นŒ์šด ์…€๋ฃฐ๋Ÿฌ ์œ ์ €์™€์˜ ๊ฑฐ๋ฆฌ๋ฅผ ์ด์šฉํ•˜์—ฌ, ํ•˜ํ–ฅ๋งํฌ ์ฑ„๋„์—์„œ์˜ D2D ์œ ์ €์™€ ์…€๋ฃฐ๋Ÿฌ ์œ ์ €์˜ SINR ์„ ์ผ์ • ์ˆ˜์ค€ ์ด์ƒ ๋ณด์žฅํ•˜๋Š” D2D ํ†ต์‹ ์„ ํ•˜๋Š” mode selection ๊ธฐ์ค€์„ ์ œ์•ˆํ•˜์˜€๋‹ค. D2D ํŠธ๋ž˜ํ”ฝ์ด ์žˆ๋Š” ์œ ์ €๊ฐ€ ์ œ์•ˆํ•œ ๊ธฐ์ค€์— ๋”ฐ๋ผ D2D ๋ชจ๋“œ๋กœ ๋™์ž‘ํ•  ํ™•๋ฅ , D2D ํ†ต์‹  ํ•  ๋•Œ์˜ ์†ก์‹  ์ „๋ ฅ์„ ํ™•๋ฅ ์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๊ณ , ์ด๋ฅผ ์ด์šฉํ•˜์—ฌ D2D ๋ชจ๋“œ๋กœ ๋™์ž‘ํ•  ๋•Œ์™€ ์…€๋ฃฐ๋Ÿฌ ๋ชจ๋“œ๋กœ ๋™์ž‘ํ•  ๋•Œ์˜ SINR outage probability๋ฅผ ์œ ๋„ํ•˜์˜€๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ Shannon capacity๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฐ ์œ ์ €์˜ link capacity์™€ ์ด๋ฅผ ์ด์šฉํ•œ total network capacity๋ฅผ ๊ตฌํ•˜์˜€๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ๋ถ„์„๊ฒฐ๊ณผ์˜ ๋น„๊ต๋ฅผ ํ†ตํ•˜์—ฌ ๋ถ„์„์˜ ์ ํ•ฉ์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค.๋ชฉ ์ฐจ ์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 2 ์žฅ ๊ด€ ๋ จ ์—ฐ ๊ตฌ 2 ์ œ 3 ์žฅ ์‹œ์Šคํ…œ ๋ชจ๋ธ 4 ์ œ 1 ์ ˆ ๋„คํŠธ์›Œํฌ ๋ชจ๋ธ 4 ์ œ 2 ์ ˆ ์ฑ„๋„ ๋ชจ๋ธ ๋ฐ D2D Power Contol 4 ์ œ 4 ์žฅ Mode Selection 6 ์ œ 1 ์ ˆ ๋ชจ๋“œ ์„ ํƒ ๊ธฐ์ค€ 6 ์ œ 2 ์ ˆ D2D ๋ชจ๋“œ ์„ ํƒ ํ™•๋ฅ  7 ์ œ 5 ์žฅ D2D ํ†ต์‹  ์„ฑ๋Šฅ ๋ถ„์„ 9 ์ œ 1 ์ ˆ D2D ์†ก์‹  ์ „๋ ฅ ๋ถ„์„ 9 ์ œ 2 ์ ˆ SINR ๋ถ„์„ 10 ์ œ 3 ์ ˆ Link Capacity ๋ฐ Total Network Capacity 14 ์ œ 6 ์žฅ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ 16 ์ œ 7 ์žฅ ๊ฒฐ ๋ก  21Maste

    Design and Implementation of Electric Field Measuring Device using MOS Capacitor

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2015. 2. ๋ฏผ์ƒ๋ ฌ.์ „๊ธฐ์žฅ์€ ์ „๊ธฐ๋ ฅ์ด ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ณต๊ฐ„์„ ์˜๋ฏธํ•˜๋ฉฐ ์ „ํ•˜์˜ ์กด์žฌ ๋˜๋Š” ์šด๋™์— ์˜ํ•ด ๋ฐœ์ƒํ•œ๋‹ค. ํ˜„๋Œ€์˜ ์ „์ž ๊ธฐ์ˆ  ๋ฐœ๋‹ฌ์€ ๋งŽ์€ ์ „์ž ๊ธฐ๊ธฐ๋ฅผ ์ด์šฉํ•˜๋„๋ก ํ•˜์˜€์œผ๋ฉฐ ์ด์— ๋”ฐ๋ผ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ๋กœ ๊ณต๊ฐ„์ƒ์— ํ˜•์„ฑ๋œ ์ „๊ธฐ์žฅ์ด ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด๋Ÿฌํ•œ ์ „๊ธฐ์žฅ์˜ ํ™œ์šฉ์—๋Š” ์•” ์œ ๋ฐœ๊ณผ ๊ฐ™์€ ๋ถ€์ •์  ์˜ํ–ฅ์ด ์ƒ์กดํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๋”ฐ๋ผ์„œ ๋‹ค์–‘ํ•œ ์ „๊ธฐ์žฅ์„ ์ข…ํ•ฉ์ ์œผ๋กœ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜๊ฐ€ ํ•„์š”ํ•˜๋‚˜ ํ˜„์žฌ์˜ ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜๋กœ๋Š” ์ด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์ธก์ •ํ•ด๋‚ด๊ธฐ ์–ด๋ ต๋‹ค. MOS ์ปคํŒจ์‹œํ„ฐ๋Š” ์ „๊ธฐ์žฅ์„ ์ด์šฉํ•˜์—ฌ ์ „ํ•˜๋ฅผ ์ €์žฅํ•˜๋Š” ์žฅ์น˜์ด๋ฉฐ ๋˜ํ•œ ์™ธ๋ถ€ ์ „๊ธฐ์žฅ์— ๋…ธ์ถœ๋  ๋•Œ ์ €์žฅ๋œ ์ „ํ•˜๊ฐ€ ์œ ์ถœ๋  ์ˆ˜ ์žˆ๋Š” ํŠน์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฏ€๋กœ, MOS ์ปคํŒจ์‹œํ„ฐ์˜ ์ „ํ•˜ ์œ ์ถœ ๋˜๋Š” ์œ ์ž…๋Ÿ‰์„ ์ด์šฉํ•˜์—ฌ ์ „๊ธฐ์žฅ์„ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฅผ ์ž…์ฆํ•˜๊ธฐ ์œ„ํ•ด ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” MOS ์ปคํŒจ์‹œํ„ฐ๋ฅผ ์ด์šฉํ•œ ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜ ๋ฐ ๊ตฌํ˜„ ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€์œผ๋ฉฐ ์ด๋Ÿฌํ•œ ์ธก์ • ์žฅ์น˜์˜ ์ œ์–ด ๋ฐฉ๋ฒ• ์—ญ์‹œ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ œ์•ˆ๋œ ์ „๊ธฐ์žฅ ์ธก์ • ๋ฐฉ๋ฒ•์„ ์ด์šฉํ•œ ์ „๊ธฐ์žฅ ์ธก์ • ์—ฌ๋ถ€๋ฅผ ํŒ๋‹จํ•˜๊ธฐ ์œ„ํ•ด ์ „ํ•˜๊ฒฐํ•ฉ์†Œ์ž๋ฅผ ์ด์šฉํ•œ ์‹œ์ œํ’ˆ์„ ์ œ์ž‘ํ•˜์—ฌ ์ „๊ธฐ์žฅ ์ธก์ • ์—ฌ๋ถ€์— ๋Œ€ํ•œ ์‹คํ—˜์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ ์‹œ์ œํ’ˆ์„ ์ด์šฉํ•œ ์‹œํ—˜ ๊ฒฐ๊ณผ ์ „์ž๊ฐ€ ์ €์žฅ๋œ MOS ์ปคํŒจ์‹œํ„ฐ ์ฃผ์œ„์— ์ž‘์šฉํ•˜๋Š” ์ „๊ธฐ์žฅ์˜ ํฌ๊ธฐ์— ๋น„๋ก€ํ•˜์—ฌ ์ „์ž์˜ ์œ ์ถœ์ด ์ผ์–ด๋‚จ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํ–ฅํ›„ ๋ณธ ์žฅ์น˜์˜ ๋ฌผ๋ฆฌ์  ํ•ด์„ ๋ฐ ์‹ค์งˆ์ ์ธ ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜์˜ ์ธก์ •๋ถ€ ์ œ์ž‘์„ ํ†ตํ•ด ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜์— ๋Œ€ํ•œ ์ •๋Ÿ‰์  ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•  ๊ณ„ํš์ด๋‹ค.์š”์•ฝ i ๋ชฉ์ฐจ ii ๊ทธ๋ฆผ ๋ชฉ์ฐจ vi ํ‘œ ๋ชฉ์ฐจ vii ์ œ 1 ์žฅ ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ ๋™๊ธฐ . . . . . . . . . . . . . . . 1 1.2 ์—ฐ๊ตฌ ๋‚ด์šฉ . . . . . . . . . . . . . . . 3 1.2 ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ . . . . . . . . . . . . . . 5 ์ œ 2 ์žฅ ๋ฐฐ๊ฒฝ ์ง€์‹ ๋ฐ ๊ด€๋ จ ์—ฐ๊ตฌ 6 2.1 ์ „๊ธฐ์žฅ๊ณผ ์ „์œ„ . . . . . . . . . . . . . . 6 2.2 ์ „๊ธฐ์žฅ์˜ ํ˜•์„ฑ ์›๋ฆฌ . . . . . . . . . . . . 7 2.3 ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜์˜ ์›๋ฆฌ ๋ฐ ๊ตฌ์กฐ . . . . . . . 9 2.4 ๋ฐ˜๋„์ฒด ๊ธฐ๋ฐ˜ ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜ ๊ด€๋ จ ์—ฐ๊ตฌ . . . . 13 2.5 MOS ์ปคํŒจ์‹œํ„ฐ์˜ ์›๋ฆฌ ๋ฐ ๊ธฐ๋Šฅ . . . . . . . . 17 ์ œ 3 ์žฅ ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜์˜ ์„ค๊ณ„ 21 3.1 ๊ตฌ์„ฑ ์š”์†Œ ๋ฐ ๊ธฐ๋Šฅ . . . . . . . . . . . . 22 3.2 ์ธก์ •๋ถ€ ์„ค๊ณ„ . . . . . . . . . . . . . . 23 3.3 ์ธก์ •๋ถ€์˜ ์‹ค์ œ ๊ตฌ์กฐ . . . . . . . . . . . 32 3.4 ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜์˜ ์ œ์–ด ๋‹จ๊ณ„ . . . . . . . . 38 ์ œ 4 ์žฅ ์ „๊ธฐ์žฅ ์ธก์ • ์žฅ์น˜์˜ ์‹œ์ œํ’ˆ ๊ตฌํ˜„ ๋ฐ ์‹คํ—˜ 47 4.1 ์‹œ์ œํ’ˆ ๊ตฌํ˜„ . . . . . . . . . . . . . . 49 4.2 ์‹คํ—˜ ๋ฐฉ๋ฒ• ๋ฐ ๊ฒฐ๊ณผ . . . . . . . . . . . . 55 ์ œ 5 ์žฅ ๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ ๊ณผ์ œ 59 ์ฐธ๊ณ ๋ฌธํ—Œ 61 Abstract 65Maste

    Numerical Analysis of Sedimentatino Environment in a Tidal River with Waterway

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    The drainage channel located inside Asan Bay area has the characteristics of a man-made tidal stream created by the port construction. These artificially established waterways exhibit extreme characteristics, such as sedimentation or erosion, due to the large and simplified flow rates compared to ordinary streams. Therefore, in order to identify the current status of the sedimentary environment, the influences of tide, wave, and streams acting as external conditions of the sedimentary environment were analyzed in this study. The current state of flow and sedimentary environment was estimated numerically. As a result of the simulation, it has been confirmed that the ebb currents have weakened in the narrow waterway during normal period, while the ebb currents have been reinforced during the flooding period. The effects of the flow rate excluded from the stream during the flooding period are outstanding. It was also shown that erosion is dominant in the narrow waterways and curves, while in other waterways, deposition is dominant. Based on this, long-term modeling was performed for the next 1, 5 and 10 years, and as a result, it is seemed that the sedimentary environment of the drainage is kept in equilibrium. However, it is deemed necessary to analyze and make correction to the results, because the most of the drainage channels are high in the air exposure time, resulting in solidification of the ground, therefore, it does not follow the long-term simulation result.1. ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 1.2 ์—ฐ๊ตฌ ๋ชฉ์  3 1.3 ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 4 2. ํ˜„์žฅ์กฐ์‚ฌ ๋ฐ ๋Œ€์ƒํ•ด์—ญ์˜ ํŠน์„ฑ 6 2.1 ์•„์‚ฐ๋งŒ์˜ ์ง€ํ˜•์กฐ๊ฑด 6 2.2 ์•„์‚ฐ๋งŒ์˜ ํ•ด์–‘๋ฌผ๋ฆฌ์  ํŠน์„ฑ 9 2.2.1 ์กฐ์„ 9 2.2.2 ์กฐ๋ฅ˜ 12 2.2.3 ํŒŒ๋ž‘ 14 2.3 ์œ ์—ญ ๋ฐ ํ•˜์ฒœ ํ˜„ํ™ฉ 17 2.3.1 ์ผ๋ฐ˜ ํ˜„ํ™ฉ 17 2.3.2 ๋Œ€์ƒ์œ ์—ญ์˜ ๊ธฐํ•˜ํ•™์  ํŠน์„ฑ 18 2.3.3 ํ•˜์ฒœ ํ˜„ํ™ฉ 20 3. ๋ชจ๋ธ์˜ ๊ตฌ์„ฑ 23 3.1 ํ•ด์ˆ˜์œ ๋™ ๋ชจ๋ธ 23 3.1.1 ์ง€๋ฐฐ ๋ฐฉ์ •์‹ 23 3.1.2 ์šด๋™ํ•™์  ๊ฒฝ๊ณ„์กฐ๊ฑด 27 3.1.3 ํ•ด์ € ๊ฒฝ๊ณ„์กฐ๊ฑด 27 3.1.4 ์ˆ˜์‹ฌํ‰๊ท  ํ๋ฆ„ 27 3.1.5 ํ‘œ๋ฉด ๊ฒฝ๊ณ„์กฐ๊ฑด 28 3.1.6 ๊ฐœ๋ฐฉ ๊ฒฝ๊ณ„์กฐ๊ฑด 31 3.1.7 ์ˆ˜์น˜ํ•ด์„ ๊ธฐ๋ฒ• 31 3.2 ํ‡ด์ ๋ฌผ์ด๋™ ๋ชจ๋ธ 34 3.2.1 ๋ถ€์œ ์‚ฌ ์ด์†ก ๋ฐฉ์ •์‹ 34 3.2.2 ๋ถ€์œ ์‚ฌ๋Ÿ‰ 39 3.2.3 ์†Œ๋ฅ˜์‚ฌ๋Ÿ‰ 41 4. ์ˆ˜์น˜์‹œ๋ฎฌ๋ ˆ์ด์…˜ 43 4.1 ํ•ด์ˆ˜์œ ๋™ ์‹คํ—˜ 43 4.1.1 ์‹คํ—˜๋‚ด์šฉ 43 4.1.2 ๋ชจํ˜• ์ˆ˜๋ฆฝ 44 4.1.3 ๋ชจํ˜• ๊ฒ€์ฆ 49 4.1.4 ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ 51 4.2 ํ‡ด์ ๋ฌผ์ด๋™ ์‹คํ—˜ 61 4.2.1 ์‹คํ—˜๋‚ด์šฉ 61 4.2.2 ๋ชจํ˜•์ˆ˜๋ฆฝ 62 4.2.3 ๋ชจํ˜•๊ฒ€์ฆ 68 4.2.4 ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ 68 5. ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 75 5.1 ๊ฒฐ๋ก  75 5.2 ์ œ์–ธ 77 ์ฐธ๊ณ ๋ฌธํ—Œ 78Maste

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