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Improved Outage Probability using Multi-IRS-Assisted MIMO Wireless Communications in Cellular Blockage Scenarios

Penchala, Suresh and Bandari, Shravan Kumar and Mani, V.V. (2025) Improved Outage Probability using Multi-IRS-Assisted MIMO Wireless Communications in Cellular Blockage Scenarios. INFOCOMMUNICATIONS JOURNAL, 17 (3). pp. 37-44. ISSN 2061-2079

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Abstract

Future wireless communication technologies must be upgraded to serve the upcoming seamless data-intensive applications and support a minimum information rate. To this end, an intelligent reflecting surface (IRS) technology was recently proposed as a viable solution to cover the uncovered regions with enhanced performance by means of a controlled wireless environment using multiple reflecting elements. In this paper, to elevate the end-user experience, we intend to improve the outage probability (OP) performance utilizing multiple IRS for multiple-input-multiple-output (MIMO) communication systems under a generalized η–μ fading channel, which is suitable for non-line-of-sight (NLOS) scenarios. We derived a closed-form expression for OP and validated the same using a rigorous Monte-Carlo (MC) simulation setup under the considered system model. A comprehensive analysis of each system parameter impacting the likelihood that the communication channel supports the information rate has been detailed based on the number of IRSs, the number of reflecting elements, antenna count at transmitter and receiver, fading parameters, and the placement of IRSs. Results suggest that employing multiple IRSs reduces the outage scenarios in blockage zones, and further improvement can be observed with multiple antennas positioning the IRSs closer to either the transmitter or the receiver. Furthermore, we present an energy efficiency (EE) assessment for the multi-IRS system.

Item Type: Article
Subjects: Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 20 Nov 2025 07:14
Last Modified: 20 Nov 2025 07:18
URI: https://real.mtak.hu/id/eprint/229424

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