Intelligent Telecommunications Networking and LLM-Supported Resource Management Based on Optical Reflective Array (IRS) System

Abstract

The invention describes a dynamically configurable intelligent telecommunications network architecture integrating a high-capacity optical IRS and an LLM agent. The optical IRS expands coverage by controlling signal strength and direction, while the LLM agent improves network performance and user experience by intelligently managing network resources. This invention offers a potential solution for delivering higher data rates, lower latency, and wider connectivity in 6G and beyond networks.

Description

1 TARIFF Intelligent Telecommunications Network and LLM Based on Optical Reflective Array (IRS) Supported Resource Management Technical Area The invention relates to wireless telecommunications in general, and 6G and beyond networks in particular. Intelligent Reflecting Surfaces (IRS) and Large Language Models used Dynamically configurable, integrated with Large Language Models (LLM). an optical IRS-based network architecture and the distribution of resources through this network via LLM agents It encompasses management. The invention relates to optical communication, signal processing, artificial intelligence, and network optimization. It finds applications in various fields. 10 State of the Art Today's wireless communication networks face challenges such as spectrum scarcity, energy efficiency, and coverage. They face problems such as these. Although 5G has partially solved these problems, 6G and Beyond networks, providing higher data speeds, lower latency, and wider connectivity. It requires new technologies. 15 IRS technology reflects radio waves using passive and low-cost components, thereby transmitting signals. It has the potential to increase its power and coverage. Existing IRS systems It generally operates at radio frequency (RF) and uses phase-shifting elements. However, The performance of RF IRS systems is limited by the frequency band, channel conditions, and number of elements. Optical IRS offers a wider bandwidth and higher signal strength compared to RF IRS. It offers transport capacity. However, the complex structures and high costs of optical IRSs, The difficulties in practical applications prevent its widespread use. Furthermore, the current situation... Systems typically have static or limited dynamic configurations and are on the network. They struggle to adapt to changing demands. Large Language Models (LLMs) are 25 key players in the fields of natural language processing and artificial intelligence. Significant progress has been made. LLMs enable the analysis of complex data, making predictions, and They possess decision-making capabilities. However, LLMs in telecommunication networks Its use in resource management is still limited and involves optimization algorithms. Integration presents challenges. 2 In conclusion, due to the negative aspects described above and the current solutions being the subject of discussion... Due to its shortcomings, an improvement is needed in the relevant technical field. It has been made. Purpose of the Invention The invention was created by drawing inspiration from existing situations and addressing the aforementioned drawbacks. 5 It aims to solve the problem. The main purpose of the invention is to overcome the limitations of traditional IRS and LLM-based systems. a dynamically configurable optical IRS-based smart telecommunications network The aim is to improve the architecture. To this end, the invention aims to achieve the following objectives: It aims to... 10 Equipped with high-performance optical elements, wide bandwidth and high signal strength. When developing an optical IRS design that offers transport capacity, the varying demands on the network were taken into consideration. and its components need to be able to adapt instantly to channel conditions. The goal is to restructure the LLM in a timely and dynamic manner; in this process agents intelligently manage critical resources such as bandwidth, power, and element configuration. It integrates with optimization algorithms by managing and thus improving both network performance. This is also enhanced thanks to the low power consumption and efficient resource management of the optical IRS. Energy efficiency is being maximized. Moreover, optical IRSs are strategically important. By positioning it, the signal strength is increased and the coverage area is expanded, and this An integrated approach, high-speed, energy-efficient and comprehensive communication. 20 It paves the way for infrastructure. The structural and characteristic features and all the advantages of the invention are given in the figures below. This becomes clearer thanks to the detailed explanation written with references to these figures. This will be understood as such, and therefore the evaluation will also take these forms and detailed explanations into account. It must be done taking this into consideration. 25 Figures that will help understand the invention. Figure 1 shows a schematic representation of the system that is the subject of the invention. Explanation of Part References 1. Optical IRS (Intelligent Reflecting Surface) 3 2. Optical Reflective Elements 3. Optical Source 4. Optical Detectors 5. Control and Processing Unit 6. LLM Agent 5 7. Base Station 8. User Device 9. Resource Management Server 10. Data Input / Output Unit 11. Optimization Algorithm 10 Detailed Description of the Invention In this detailed description, the preferred configurations of the system that is the subject of the invention are listed only. This is explained to facilitate a better understanding of the subject. The invention describes an intelligent telecommunication system in which an optical IRS (1) and an LLM agent (6) are integrated. It uses a network architecture. The optical IRS (1) consists of numerous optical reflective elements (2). 15 These elements reflect incoming optical signals at specific angles, altering the signal strength and direction. It controls the optical IRS, which is illuminated by an optical source (3) and the reflected signals. It is detected by optical detectors (4). These detectors provide information about the reflected signal. It collects and transmits to the control and processing unit (5). Control and processing unit (5) controls the configuration of optical reflective elements (2) 20 This configuration allows for adaptation to varying demands on the network and channel conditions. It is dynamically adjusted for real-time signal processing. Dynamic configuration enables real-time signal processing. This is accomplished using algorithms and optimization algorithms. The LLM agent (6) runs on the resource management server (9) and manages network resources (band (width, power, element configuration) is the key to intelligently managing it. LLM agent, 25 It analyzes traffic patterns, user behavior, and channel conditions on the network. As a result of the analysis, the LLM agent improved the network performance by using optical IRS (1) It optimizes the configuration and other network resources. 4 The LLM agent (6) collects and optimizes data from the network via the data input / output unit (10). It works integrated with algorithms (11). Optimization algorithms, LLM agent's By using the recommendations, it configures the optical IRS (1) and improves network performance. It heals. This system comprises base stations (7) and user devices (8) within a wireless communication network. Optimizes communication between them. Optical IRS (1) through signal reflection and redirection. It improves communication by increasing signal strength and reducing interference. The LLM agent (6) improves network By intelligently managing its resources, it improves network performance and user experience.

Claims

REQUESTS 1. A telecommunications network characterized by high-capacity optical elements. By reflecting the generated and incoming optical signals at specific angles, it increases the signal strength and It includes an Optical Reflector Array (IRS) that controls its direction.

2. According to Claim 1, it is a telecommunications network, the characteristic of which is that the optical IRS is present on the network. optical reflector to adapt to varying demands and channel conditions a control and processing system that enables dynamic configuration of elements It is having a unit.

3. According to Claim 2, it is a telecommunications network, the characteristics of which are control and processing. unit's real-time signal processing algorithms and optimization 10 using algorithms to control the configuration of optical IRS elements It is the act of doing.

4. It is a telecommunications network, characterized by its network resources (bandwidth, power, (element configuration) to intelligently manage and improve network performance It includes the LLM (Large Language Model) agent. 15 5. According to claim 4, it is a telecommunications network, the characteristic of which is that the LLM agent, in the network By analyzing traffic patterns, user behavior, and channel conditions, optics This involves optimizing the IRS's configuration and other network resources.

6. According to claim 5, it is a telecommunications network, the characteristic of which is that the LLM agent transmits data. Network data collection and optimization algorithms via input / output unit 20 It works in an integrated manner.

7. It is a telecommunications network in which the optical IRS and LLM agent are integrated, its feature is base stations and user devices within a wireless communication network. It optimizes communication between them.

8. According to any of the claims in clauses 1-7, a telecommunications system 25 It is a computer-readable medium designed for operation, Its feature is the commands that enable the execution of the steps specified in the relevant prompts. It includes.

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