-
Performance Analysis of Intelligent Reflective Surfaces for Wireless Communication
A statistical characterization of the fundamental performance bounds of ...
read it
-
Reconfigurable Intelligent Surface Empowered Terahertz Communication for LEO Satellite Networks
The revolution in the low earth orbit (LEO) satellite networks will impo...
read it
-
Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey
This paper presents a comprehensive literature review on applications an...
read it
-
Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications
An intelligent reflecting surface (IRS), consisting of reconfigurable me...
read it
-
McLeish Distribution: Performance of Digital Communications over Additive White McLeish Noise (AWMN) Channels
The objective of this article is to statistically characterize and descr...
read it
-
Performance Analysis of Distributed Intelligent Reflective Surfaces for Wireless Communications
In this paper, a comprehensive performance analysis of a distributed int...
read it
-
Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications
In this paper, transmission through large intelligent surfaces (LIS) tha...
read it
Performance of Intelligent Reconfigurable Surface-Based Wireless Communications Using QAM Signaling
Intelligent reconfigurable surface (IRS) is being seen as a promising technology for 6G wireless networks. The IRS can reconfigure the wireless propagation environment, which results in significant performance improvement of wireless communications. In this paper, we analyze the performance of bandwidth-efficient quadrature amplitude modulation (QAM) techniques for IRS-assisted wireless communications over Rayleigh fading channels. New closed-form expressions of the generic average symbol error rate (ASER) for rectangular QAM, square QAM and cross QAM schemes are derived. Moreover, simplified expressions of the ASER for low signal-to-noise-ratio (SNR) and high SNR regions are also presented, which are useful to provide insights analytically. We comprehensively analyze the impact of modulation parameters and the number of IRS elements employed. We also verify our theoretical results through simulations. Our results demonstrate that employing IRS significantly enhances the ASER performance in comparison to additive white Gaussian noise channel at a low SNR regime. Thus, IRS-assisted wireless communications can be a promising candidate for various low powered communication applications such as internet-of-things (IoT).
READ FULL TEXT
Comments
There are no comments yet.