The New Purity and Capacity Models for the OAM-mmWave Communication Systems Under Atmospheric Turbulence

Abstract

The orbital angular momentum (OAM) wireless communication technology is widely studied in recent literatures. But the atmospheric turbulence is rarely considered in analyzing the capacity of OAM-based millimeter wave (OAM-mmWave) communication systems. The OAM-mmWave propagated in the atmosphere environments is usually interfered by the atmospheric turbulence, resulting in the crosstalk among OAM channels, capacity degradation, etc. By taking into account the atmospheric turbulence effect, this paper proposes a new purity model and a new capacity model for the OAM-mmWave communication systems. Simulation results indicate that the OAM-mmWave propagation in the atmosphere environments is evidently interfered by atmospheric turbulence, where the capacity of the OAM-mmWave communication systems decreases with the increase of the transmission frequency.Index Terms-Atmospheric turbulence, orbital angular momentum, millimeter wave, capacity. In this paper the impact of atmospheric turbulence on the OAM-mmWave communication systems has been investigated. A new capacity model has been proposed for the OAM-mmWave communication systems considering the atmospheric turbulence effect. The contributions of this paper are summarized as follows: 1) A new purity model is proposed for OAM-mmWave communication systems considering the propagation characteristics of OAM-mmWave with the atmospheric turbulence. In general, the atmospheric turbulence arXiv:1909.04336v1 [eess.SP]

Capacity of a Radio Vortex Communication System Using a Partial Angular Aperture Receiving Scheme under the Horizontal Non-Kolmogorov Model

“…It is confirmed that in the frequency range selected in this article, a high frequency brings a large capacity of the RV communication system using the PAAR scheme in the horizontal non-Kolmogorov channel model. However, in [ 25 ], the capacity of the OAM-mmWave communication systems decreased with the increase of the transmission frequency, where the selected transmission frequency range was 100 GHz–300 GHz. We conclude that the selected transmission frequency range has a great influence on the RV communication system based on the PAAR scheme in a turbulent atmospheric environment.…”

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

“…Investigations on how to make such systems robust to practical impairments of multipath, misalignment of orientation, and so on are critical to increase their practical utility. While some preliminary work has been done in that direction, e.g., in multipath propagation [116] and turbulence [117], further work is required. Since OAM performs better with electrically larger antennas, it is better suited for high mmWaves and THz systems and, in particular, for free-space optics applications (see [8] and [118]).…”

Capacity Modelling and Performance Analysis of OAM-OFDM Wireless Communication Systems

“…In this paper, the millimeter wave wireless communication which belongs to the high frequency communication is assumed. So the Kolmogorov turbulent flow is also suitable for wireless communications [18]. Considering the Kolmogorov turbulent flow, the complex phase perturbations e ψ(r,ϕ,z) satisfies [13] e ψ(r,ϕ,z)+ψ * (r,ϕ ,z) = e…”

“…Considering (18) and the BER of OAM signals [33], the BER of the OAM-OFDM signals can be expressed as…”

“…To make OAM-OFDM transmission systems work in the millimeter wave frequency band and the signals propagate in the atmospheric turbulence of weak fluctuation conditions. The default simulation parameters of OAM-OFDM transmission systems are configured as follows: the propagation distance z is 2 km, the diameter of UCA is D = 0.6m [35], the refractive index structure constant is C 2 n = 2•10 −11 m − 2 3 [32], the minimum subcarrier frequency is 60 GHz, the subcarrier interval is 1 KHz, the number of subcarriers is 8, the signal-to-noise ratio is SN R 0 = 10 • log( P T X / N 0 ) = 10dB [18], the maximum OAM state is K = 5 (L = 11) in simulations of Fig. 9 and Fig.…”