Abstract
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.
Highlights
C-V2X communication is essential for redefining transportation by providing real-time, highly reliable, and actionable information flows to enable safety, mobility, and environmental applications [1]
This section illustrates and analyses the interference angular power power density density (APD), some key spatial statistics of interference, PDF and spatial correlation correlation function function (SCF) of signal–to–interference ratio ratio (SIR) described in Sections 2–4 through the MATLAB simulation
Distribution in the horizontal direction and an interference APD in the scenario where the incoming interference power is assumed to obey the uniform distribution in the 3D space
Summary
C-V2X (cellular vehicle-to-everything) communication is essential for redefining transportation by providing real-time, highly reliable, and actionable information flows to enable safety, mobility, and environmental applications [1]. This paper mainly investigates spatial characteristics of C-V2X communication interference in the 3D angular domain and obtains the effect of 3D spatial angular directions (i.e., azimuth angle and elevation angle) on spatial statistics of interference and SIR (signal–to–interference ratio). This paper strives to alleviate the current lack of analytical studies by proposing a 3D GIDM (Gaussian interference distribution model), giving the corresponding interference APD (angular power density) and deriving the closed-form expressions of some key spatial statistics of interference and SIR in the 3D angular domain. C-V2X communication networks nodes, it is assumed the of interference waves tends to infinity, the multipath channel modeling can theory be usedcan to number of interference waves tends toand infinity, and the multipath channel theory modeling study the spatial statistical characteristics of interference [19,20]. Since the incoming interference power is assumed to obey the Gaussian distribution in 3D space, its expression
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