## 1 Introduction  
The accelerated growth of traffic in wireless communications due to several emerging applications is saturating the electromagnetic spectrum intended for traditional wireless communications, highlighting the limitations of existing fifth-generation (5G) mobile networks. The indicated restrictions are manifested through parameters such as latency, reliability, availability, performance, data rate, connection density, and coverage [1]. Research trends suggest that sixth-generation (6G) mobile networks will find solutions to these problems, which has motivated the research for new alternatives for wireless communications. These can be accomplished by moving up in frequency, with terahertz (THz) communications and optical wireless communication (OWC) as potential contenders, with a special focus on visible light communications (VLC), or by integrating new technologies such as artificial intelligence (AI), intelligent reconfigurable surfaces (IRS), among others [2, 3]. In terms of VLC-related work, this technology is a promising option, due to its unlicensed wide bandwidth, absence of interference with radio frequency (RF) communications, and the possibility of reusing high frequencies [4]. However, VLC systems also face some difficultiesdue to short coverage and a large path loss [5]. Advantageously, these challenges can be addressed using IRS solutions to improve system performance [4; 6]. In VLC systems, the three main components are the light-emitting diode (LED) in the transmit stage, the optical channel, which is modeled as a Lambertian channel, and the photodiodes (PD) in the receive stage [7]. The most common modulation/demodulation technique for this system is intensity modulation with direct detection (IM/DD). Various VLC application scenarios, such as indoor, outdoor, Vehicle to Vehicle (V2V), underground mines, and underwater, assisted by IRS, among others, have been analyzed [5]. In these scenarios, some characteristics inherent to visible light, such as blockages due to the wavelengths that are handled, may cause a drastic attenuation of the signal power, degrading communication, and lighting. These effects become even more pronounced in dynamic environments, which may limit their applicability [4; 8]. Implement IRS which can improve signal propagation and coverage even in challenging NLOS scenarios. In a real scenario, the implementation of this technique could involve the following steps:  
* Site Survey and Analysis: Identify areas with poor LoS or Non-LoS conditions where the VLC system performance is degraded. These could be areas with obstacles or signal blocks. * IRS Placement and Configuration: Determine suitable locations to install IRS panels. These locations should enable optimal reflection of VLC signals towards the receiver. Furthermore, it is necessary to configure the IRS panels according to the specific environment. * Adaptive Adjustment: Use real-time channel information to adaptively adjust the IRS configuration. This could involve dynamic phase shifting to counteract changing obstacles or interferences. * System Integration: Integrate the IRS system with the VLC infrastructure. This includes connecting IRS control mechanisms to the VLC transmitter and receiver. Furthermore, several scenarios suitable for IRS implementation include the following:
* Indoor Environments: Environments with walls, partitions, and other obstacles can experience significant signal degradation. IRS can reflect signals around these obstacles, enhancing coverage. * Large Public Spaces: Areas like shopping malls, airports, and convention centers often have challenging signal propagation due to their size and architectural features. IRS can help overcome these challenges. * Smart Cities: In urban environments with tall buildings and signal interference, IRS can be strategically deployed to improve signal coverage and connectivity. * Underground Areas: Basements, parking lots, and tunnels often have poor signal penetration. IRS can redirect signals to improve communication.