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      SCIE SCOPUS KCI등재

      A Non-Stationary Geometry-Based Cooperative Scattering Channel Model for MIMO Vehicle-to-Vehicle Communication Systems = A Non-Stationary Geometry-Based Cooperative Scattering Channel Model for MIMO Vehicle-to-Vehicle Communication Systems

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      https://www.riss.kr/link?id=A106294708

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      다국어 초록 (Multilingual Abstract)

      Traditional channel models for vehicle-to-vehicle (V2V) communication usually assume fixed velocity in static scattering environment. In the realistic scenarios, however, time-variant velocity for V2V results in non-stationary statistical properties of wireless channels. Dynamic scatterers with random velocities and directions have been always utilized to depict the non-stationary statistical properties of the channel. In this paper, a non-stationary geometry-based cooperative scattering channel model is proposed for multiple-input multiple-output (MIMO) V2V communication systems, where a birth-death process is used to capture the appearance and disappearance dynamic properties of moving scatterers that reflect the time-variant time correlation and Doppler spectrum characteristics. Moreover, our model has more straight and concise to study the impact of the vehicular traffic density on channel characteristics and thus avoid complicated procedure in deriving the analytical expressions of the channel parameters and functions. The numerical results validate our analysis and demonstrate that setting important parameters of our model can appropriately build up more purposeful measurement campaigns in the future.
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      Traditional channel models for vehicle-to-vehicle (V2V) communication usually assume fixed velocity in static scattering environment. In the realistic scenarios, however, time-variant velocity for V2V results in non-stationary statistical properties o...

      Traditional channel models for vehicle-to-vehicle (V2V) communication usually assume fixed velocity in static scattering environment. In the realistic scenarios, however, time-variant velocity for V2V results in non-stationary statistical properties of wireless channels. Dynamic scatterers with random velocities and directions have been always utilized to depict the non-stationary statistical properties of the channel. In this paper, a non-stationary geometry-based cooperative scattering channel model is proposed for multiple-input multiple-output (MIMO) V2V communication systems, where a birth-death process is used to capture the appearance and disappearance dynamic properties of moving scatterers that reflect the time-variant time correlation and Doppler spectrum characteristics. Moreover, our model has more straight and concise to study the impact of the vehicular traffic density on channel characteristics and thus avoid complicated procedure in deriving the analytical expressions of the channel parameters and functions. The numerical results validate our analysis and demonstrate that setting important parameters of our model can appropriately build up more purposeful measurement campaigns in the future.

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      참고문헌 (Reference)

      1 Y. Chen, "Visualizing wireless network performance metrics in space–time" 63 (63): 822-835, 2014

      2 C. -X. Wang, "Vehicle-to-vehicle channel modeling and measurements : recent advances and future challenges" 47 (47): 96-103, 2009

      3 J. Sun, "Uplink Interference Coordination Management with Power Control for D2D Underlaying Cellular Networks : Modeling, Algorithms and Analysis" 67 (67): 8582-8594, 2018

      4 A. G. Zajic, "Three-dimensional modeling, simulation, and capacity analysis of space–time correlated mobile-to-mobile channels" 57 (57): 2042-2058, 2008

      5 E. T. Michailidis, "Three-dimensional modeling and simulation of MIMO mobile-to-mobile via stratospheric relay fading channels" 62 (62): 2014-2030, 2013

      6 G. J. Byers, "Spatially and temporally correlated MIMO channels : modeling and capacity analysis" 53 (53): 634-643, 2004

      7 G. Acosta, "Six time-and frequency-selective empirical channel models for vehicular wireless LANs" 2 (2): 4-11, 2007

      8 B. Zhong, "Secure Full-duplex Two-way Relaying Networks with Optimal Relay Selection" 21 (21): 1123-1126, 2017

      9 H. Xiao, "Power allocation and relay selection for multisource multirelay cooperative vehicular networks" 17 (17): 3297-3305, 2016

      10 L. Liu, "Position based modeling for wireless channel on high-speed railway under a viaduct at 2.35 Ghz" 30 (30): 834-845, 2012

      1 Y. Chen, "Visualizing wireless network performance metrics in space–time" 63 (63): 822-835, 2014

      2 C. -X. Wang, "Vehicle-to-vehicle channel modeling and measurements : recent advances and future challenges" 47 (47): 96-103, 2009

      3 J. Sun, "Uplink Interference Coordination Management with Power Control for D2D Underlaying Cellular Networks : Modeling, Algorithms and Analysis" 67 (67): 8582-8594, 2018

      4 A. G. Zajic, "Three-dimensional modeling, simulation, and capacity analysis of space–time correlated mobile-to-mobile channels" 57 (57): 2042-2058, 2008

      5 E. T. Michailidis, "Three-dimensional modeling and simulation of MIMO mobile-to-mobile via stratospheric relay fading channels" 62 (62): 2014-2030, 2013

      6 G. J. Byers, "Spatially and temporally correlated MIMO channels : modeling and capacity analysis" 53 (53): 634-643, 2004

      7 G. Acosta, "Six time-and frequency-selective empirical channel models for vehicular wireless LANs" 2 (2): 4-11, 2007

      8 B. Zhong, "Secure Full-duplex Two-way Relaying Networks with Optimal Relay Selection" 21 (21): 1123-1126, 2017

      9 H. Xiao, "Power allocation and relay selection for multisource multirelay cooperative vehicular networks" 17 (17): 3297-3305, 2016

      10 L. Liu, "Position based modeling for wireless channel on high-speed railway under a viaduct at 2.35 Ghz" 30 (30): 834-845, 2012

      11 B. Zhong, "Opportunistic Two-Way Full-Duplex Relay Selection in Underlay Cognitive Networks" 12 (12): 725-734, 2018

      12 Y. Alghorani, "On the performance of reduced-complexity transmit/receive-diversity systems over MIMO-V2V channel model" 6 (6): 214-217, 2017

      13 Y. Yuan, "Novel 3D geometry-based stochastic models for non-isotropic MIMO vehicle-to vehicle channels" 13 (13): 298-309, 2014

      14 M. Patzold, "Modeling, analysis, and simulation of MIMO mobile-to-mobile fading channels" 7 (7): 510-520, 2008

      15 R. He, "Mobility model-based non-stationary mobile-to-mobile channel modeling" 17 (17): 4388-4400, 2018

      16 X. Zhao, "Mobile-to-mobile wideband MIMO channel realization by using a two-ring geometry-based stochastic scattering mode" 84 (84): 2445-2465, 2015

      17 M. Patzold, "Mobile Radio Channels" Wiley 2012

      18 D. C. Araújo, "Massive MIMO : Survey and future research topics" 10 (10): 1938-1936, 2016

      19 A. G. Zajic, "Impact of moving scatterers on vehicle-to-vehicle narrowband channel characteristics" 63 (63): 3094-3106, 2014

      20 X. Cheng, "Envelope level crossing rate and average fade duration of non-isotropic vehicle-to-vehicle Ricean fading channels" 15 (15): 62-72, 2014

      21 M. Walter, "Delay-dependent Doppler probability density functions for vehicle-to-vehicle scatter channels" 62 (62): 2238-2249, 2014

      22 Y. Chen, "Decentralized wireless relay network channel modeling : An analogous approach to mobile radio channel characterization" 58 (58): 467-473, 2010

      23 A. Alireza, "Correlation and spectral properties of vehicle-to-vehicle channels in the presence of moving scatterers" 62 (62): 4228-4239, 2013

      24 E. Ahmed, "Cooperative vehicular networking: a survey" 19 (19): 996-1014, 2018

      25 X. Cheng, "Cooperative MIMO channel modeling and multi-link spatial correlation properties" 30 (30): 388-396, 2012

      26 S. L. Loyka, "Channel capacity of MIMO architecture using the exponential correlation matrix" 5 (5): 369-371, 2001

      27 S. Sohaib, "Asynchronous cooperative relaying for vehicle-to-vehicle communications" 61 (61): 1732-1738, 2013

      28 H. Jiang, "Analysis of semi-ellipsoid scattering channel models for vehicle-to-vehicle communication environments" 1-6, 2017

      29 M. Arias, "An approach of the geometrical-based single bounce elliptical channel model for mobile environments" 11-16, 2002

      30 X. Cheng, "An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels" 8 (8): 4824-4835, 2009

      31 J. An, "Achieve sustainable ultra-dense heterogeneous networks for 5G" 55 (55): 84-90, 2017

      32 T. Zwick, "A stochastic spatial channel model based on wave-propagation modeling" 18 (18): 6-15, 2000

      33 H. Jiang, "A novel 3D massive MIMO channel model for vehicle-to-vehicle communication environments" 66 (66): 79-90, 2018

      34 W. Dahech, "A nonstationary mobile-to-mobile channel model allowing for velocity and trajectory variations of the mobile stations" 16 (16): 1987-2000, 2017

      35 S. Wu, "A non-stationary wideband channel model for massive MIMO communication systems" 14 (14): 1434-1446, 2015

      36 M. Pätzold, "A non-stationary multipath fading channel model incorporating the effect of velocity variations of the mobile station" 194-199, 2014

      37 S. Wu, "A non-stationary 3-D wideband twin-cluster model for 5G massive MIMO channels" 32 (32): 1207-1218, 2014

      38 J. Bian, "A WINNER+ based 3-D non-stationary wideband MIMO channel model" 17 (17): 1755-6895, 2018

      39 H. Jiang, "A Non-Stationary geometry-based scattering vehicle-to-vehicle MIMO channel model" 22 (22): 1510-1513, 2018

      40 X. Zhao, "A 3D geometry-based scattering model for vehicle-to-vehicle wideband MIMO relay-based cooperative channels" 13 (13): 1-10, 2016

      41 R. Sun, "5-GHz V2V channel characteristics for parking garages" 66 (66): 3538-3547, 2017

      42 Y. Yuan, "3D wideband non-stationary geometry-based stochastic models for non-Isotropic MIMO vehicle-to-vehicle channels" 14 (14): 6883-6895, 2015

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      학술지등록 한글명 : KSII Transactions on Internet and Information Systems
      외국어명 : KSII Transactions on Internet and Information Systems
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-10-01 평가 등재학술지 선정 (기타) KCI등재
      2011-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2009-01-01 평가 SCOPUS 등재 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.45 0.21 0.37
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.32 0.29 0.244 0.03
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