Performance Analysis of IRS-assisted Terahertz Communication System

被引：2

作者：

Premanand, Rithwik ^{[1
]}

Madhukumar, A. S. ^{[1
]}

Sharma, Shubha ^{[1
]}

Singh, Ranjan ^{[1
]}

机构：

[1] Nanyang Technol Univ, Singapore, Singapore

来源：

2023 IEEE 34TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, PIMRC | 2023年

基金：

新加坡国家研究基金会;

关键词：

alpha-mu fading; intelligent reflecting surface; multi-variate fox's H function; outage Probability; terahertz; PATH-LOSS; INTELLIGENT; MODEL;

D O I：

10.1109/PIMRC56721.2023.10293764

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Intelligent reflecting surfaces (IRS), a new paradigm for controlling the wireless propagation environment, is an excellent cost-effective technology for terahertz (THz) systems. In this paper, the performance of an IRS-assisted THz system, with N reflective elements, is systematically analyzed over the deterministic IRS channel gain, the THz path loss model, and the sum of independent and non-identically distributed (i.ni.d.) cascaded alpha-mu fading channels. The probability density function (PDF) and the cumulative distribution function (CDF) of the proposed system are statistically characterized in terms of programmable multi-variate Fox's H function. Using derived statistical results, the closed-form solution for outage probability of THz-IRS system is reported along with its simple asymptotic expansions. The analytical results are validated using Monte-Carlo simulations. Results show that, sufficient signal-to-noise ratio (SNR) can be achieved with enough number of IRS antenna elements, making THz communication feasible.

引用

页数：6

共 18 条

[1] Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization [J].