3D Spatial Characteristics of C-V2X Communication Interference
In C-V2X (cellular vehicle-to-everything) communication networks, dense spatial reuse of the available radio spectrum is required to achieve efficient spectral usage. Spectrum reuse causes severe network interference where signals from many undesired transmitters are aggregated at a receiver. This p...
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MDPI AG
2019-06-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/8/6/718 |
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author | Derong Du Xin Jian Xuegang Wu Yong Tan Xiaoping Zeng Shijian Huang Yadong Li |
author_facet | Derong Du Xin Jian Xuegang Wu Yong Tan Xiaoping Zeng Shijian Huang Yadong Li |
author_sort | Derong Du |
collection | DOAJ |
description | In C-V2X (cellular vehicle-to-everything) communication networks, dense spatial reuse of the available radio spectrum is required to achieve efficient spectral usage. Spectrum reuse causes severe network interference where signals from many undesired transmitters are aggregated at a receiver. This paper investigates the 3D spatial characteristics of C-V2X communication interference in the angular domain. A 3D GIDM (Gaussian interference distribution model) is proposed, and the corresponding interference APD (angular power density) is given. Then, the closed-form expressions of some key spatial statistics of interference are derived based on the interference APD. Finally, the closed-form expressions of the probability density function and spatial correlation function of SIR (signal–to–interference ratio) are derived based on the 3D multipath APD model and spatial statistics of the Rice channel. Simulation analysis shows that 3D spatial angular directions have significant effect on these spatial statistics of interference and the spatial correlation function of SIR. The results provide useful insight on the analysis and design of the interference-limited networks. |
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id | doaj.art-a6aa851e90ac48c5a9f62168baa71ee0 |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-04-11T22:25:52Z |
publishDate | 2019-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-a6aa851e90ac48c5a9f62168baa71ee02022-12-22T03:59:41ZengMDPI AGElectronics2079-92922019-06-018671810.3390/electronics8060718electronics80607183D Spatial Characteristics of C-V2X Communication InterferenceDerong Du0Xin Jian1Xuegang Wu2Yong Tan3Xiaoping Zeng4Shijian Huang5Yadong Li6School of Electronic Information Engineering, Yangtze Normal University, Chongqing 408100, ChinaCollege of Communication Engineering, Chongqing University, Chongqing 400044, ChinaCollege of Big Data and Intelligent Engineering, Yangtze Normal University, Chongqing 408100, ChinaSchool of Electronic Information Engineering, Yangtze Normal University, Chongqing 408100, ChinaCollege of Communication Engineering, Chongqing University, Chongqing 400044, ChinaSchool of Electronic Information Engineering, Yangtze Normal University, Chongqing 408100, ChinaSchool of Electronic Information Engineering, Yangtze Normal University, Chongqing 408100, ChinaIn C-V2X (cellular vehicle-to-everything) communication networks, dense spatial reuse of the available radio spectrum is required to achieve efficient spectral usage. Spectrum reuse causes severe network interference where signals from many undesired transmitters are aggregated at a receiver. This paper investigates the 3D spatial characteristics of C-V2X communication interference in the angular domain. A 3D GIDM (Gaussian interference distribution model) is proposed, and the corresponding interference APD (angular power density) is given. Then, the closed-form expressions of some key spatial statistics of interference are derived based on the interference APD. Finally, the closed-form expressions of the probability density function and spatial correlation function of SIR (signal–to–interference ratio) are derived based on the 3D multipath APD model and spatial statistics of the Rice channel. Simulation analysis shows that 3D spatial angular directions have significant effect on these spatial statistics of interference and the spatial correlation function of SIR. The results provide useful insight on the analysis and design of the interference-limited networks.https://www.mdpi.com/2079-9292/8/6/718C-V2X communicationinterferencespatial characteristicssignal–to–interference ratio |
spellingShingle | Derong Du Xin Jian Xuegang Wu Yong Tan Xiaoping Zeng Shijian Huang Yadong Li 3D Spatial Characteristics of C-V2X Communication Interference Electronics C-V2X communication interference spatial characteristics signal–to–interference ratio |
title | 3D Spatial Characteristics of C-V2X Communication Interference |
title_full | 3D Spatial Characteristics of C-V2X Communication Interference |
title_fullStr | 3D Spatial Characteristics of C-V2X Communication Interference |
title_full_unstemmed | 3D Spatial Characteristics of C-V2X Communication Interference |
title_short | 3D Spatial Characteristics of C-V2X Communication Interference |
title_sort | 3d spatial characteristics of c v2x communication interference |
topic | C-V2X communication interference spatial characteristics signal–to–interference ratio |
url | https://www.mdpi.com/2079-9292/8/6/718 |
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