Performance Analysis of Terahertz Communications in Random Fog Conditions With Misalignment
Osamah S. Badarneh
Abstract
Osamah S. Badarneh
Abstract
In this letter, we consider Terahertz (THz) communications in the presence of pointing error impairments (misalignment) and under random fog conditions. We derive closed-form expressions, in terms of I-function, for the probability density function (PDF) and the cumulative distribution function (CDF). Then, the PDF and the CDF are employed to derive closed-form expressions for the outage probability, average symbol error rate (SER), and ergodic channel capacity. Additionally, very tight simple approximations in the high signal-to-noise ratio for the outage probability and average SER are provided. The derived expressions are validated through numerical and Monte-Carlo simulation results.
OpenAlex reports 40 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this letter, we consider Terahertz (THz) communications in the presence of pointing error impairments (misalignment) and under random fog conditions. We derive closed-form expressions, in terms of I-function, for the probability density function (PDF) and the cumulative distribution function (CDF). Then, the PDF and the CDF are employed to derive closed-form expressions for the outage probability, average symbol error rate (SER), and ergodic channel capacity. Additionally, very tight simple approximations in the high signal-to-noise ratio for the outage probability and average SER are provided. The derived expressions are validated through numerical and Monte-Carlo simulation results.
Key concepts: Cumulative distribution function, Probability density function, Monte Carlo method, Signal-to-noise ratio (imaging), Probability distribution, Statistical physics, Computer science, Ergodic theory