6G SHARED SPECTRUM USAGE SYSTEM THAT REGULATES SPECTRUM ACCESS BY PREDICTING THE INTERFERENCE INTENTION OF NEIGHBORING NETWORKS.

Abstract

The invention is a system that regulates spectrum access by predicting the interference intent of neighboring networks in 6G shared spectrum use. The system consists of a spectrum monitoring module (1), a behavior analysis and prediction unit (2), an interference intent scoring engine (3), a dynamic spectrum access controller (4), an adaptive resource allocation unit (5), and a network coordination interface (6). By analyzing the spectrum usage habits of neighboring networks, the system detects potential interference risks in advance and takes adaptive measures accordingly. In this way, uninterrupted communication, high spectral efficiency, and low latency are ensured in 6G networks.

Description

1 TARIFF Spectrum access by predicting the interference intent of neighboring networks. REGULATED BY 6G COMMON SPECTRUM USAGE SYSTEM Technical Area The invention relates to spectrum sharing technologies used in 6G mobile communication networks. Specifically, potential initiatives can be developed by analyzing the spectrum usage behavior of neighboring networks. Identifying their intentions and dynamically adapting spectrum access strategies based on these findings. 10 It offers a system and method for regulation. State of the Art Existing spectrum sharing systems generally adopt a reactive approach. This 15 systems can change frequency or reduce power after an interference is detected. measures are being taken. However, the ultra-low latency and high speeds required by 6G networks... Reliability requirements make reactive solutions inadequate. In current techniques, neighboring taking into account the spectrum usage habits of networks or future access intentions This is not taken into account. This situation leads to sudden increases in interference, especially in crowded environments, and consequently 20 This causes connection interruptions or significant drops in data speed. Furthermore, the current situation... These systems lead to inefficient use of the spectrum, increasing energy consumption and damaging the network. It limits its capacity. Purpose of the Invention 25 The invention enables the enterprise to proactively analyze the spectrum access behavior of neighboring networks. It aims to create a system that predicts intentions. The system uses a past spectrum. By using usage data and real-time signal characteristics, we can determine at what time neighboring networks It predicts which segments and frequency bands will be concentrated. In this way, the initiative 30 Before the event, the spectrum access plan is updated to ensure uninterrupted communication. The primary purpose of the invention is to provide a "Business Intent" tool to determine business intent. The goal is to create a "score" and implement an adaptive access strategy based on that score. This method... Unlike existing reactive systems, it identifies potential intervention risks in advance, thus enhancing the network. It enables more efficient use of resources. Thus, higher 35 in 6G networks. Spectral efficiency, low latency, and an enhanced user experience are achieved. 2 Figures that will help understand the invention. Figure 1 shows a general representation of the system that is the subject of the invention. Description of Part References 5 1. Spectrum Monitoring Module 2. Behavioral Analysis and Prediction Unit 3. Entrepreneurial Intent Scoring Engine 4. Dynamic Spectrum Access Controller 10 5. Adaptive Resource Allocation Unit 6. Network Coordination Interface Detailed Description of the Invention The invention predicts the interference intent of neighboring networks in 6G shared spectrum usage. It is a system that regulates spectrum access. The system is essentially a spectrum monitoring module. (1), behavior analysis and prediction unit (2), entrepreneurial intent scoring engine (3), dynamic spectrum access controller (4), adaptive resource allocation unit (5) and network coordination interface (6) It consists of. 20 Spectrum Monitoring Module (1) continuously monitors the spectrum usage of all networks in the environment. It is the monitoring unit. This module monitors signal strength, bandwidth usage, packet transmission frequency, and frequency. It collects key metrics such as jump patterns. The collected data is stored in a timestamped format. It is transferred to the behavior analysis and prediction unit (2). Spectrum monitoring module (1), only active 25 not only the signals, but also the noise levels in the remaining spectrum ranges By analyzing, it identifies potential activity areas of neighboring networks. The Behavioral Analysis and Prediction Unit (2) processes data from the spectrum monitoring module (1). It is a unit that models the usage habits of neighboring networks by processing data. This unit is a deep 30 It performs time series analysis on historical data using learning algorithms. For example, a particular neighboring network heavily utilizes certain frequency bands at specific times each day. If it is determined that this information is being used, it will be used to predict future business risks. The unit monitors the spectrum access periods of neighboring networks, their preferred bands, and transmission. By extracting their densities, it creates a behavioral profile. 35 3 The Enterprise Intent Scoring Engine (3) uses data from the behavior analysis and prediction unit (2). It is a decision-making mechanism that calculates a "Business Intent Score" using a scoring engine. the current spectrum usage intensity of the neighboring network, the predicted future usage trend, and It takes the network's past aggressiveness level as input. If a neighboring network's behavior deviates from its normal level... if it moves outside of that range and starts using a wider part of the spectrum or increases its transmission power by 5 If it increases, the intention to undertake score is raised. The score is a value between 0 and 1; 0 means minimum initiative. 1 represents risk, and 1 represents a firm intention to take the plunge. Dynamic Spectrum Access Controller (4) controls the spectrum access of the network according to the interference intent score. It is the unit that determines the strategy. This controller, when the score exceeds a certain threshold value, 10 It changes the network's spectrum access mode from "aggressive" to "protective" or "sharing". For example, if the intention to engage score is high, the controller will automatically jump the frequency. it activates its algorithm or switches to an alternative frequency band that carries less risk of interference. It issues a passage order. In this way, preventive measures are taken before the attempt takes place. Adaptive Resource Allocation Unit (5) receives from the dynamic spectrum access controller (4) It is the unit that implements the decisions at the physical level. This unit determines the transmission power and modulation technique. and adjusts the antenna beamforming parameters in real-time. If interference is intended... If higher, the adaptive resource allocation unit (5) can be adjusted to maintain the signal-to-noise ratio (SNR). switch to robust modulation techniques or redirect the beamforming direction to the opposite of the interference source 20 It optimizes the network accordingly. This process ensures uninterrupted network operation and minimizes data loss. It allows the download. Network Coordination Interface (6), the system's interaction with other networks or a central spectrum management It is the unit that enables communication with the unit. This interface detects the intended actions and 25 by sharing the measures taken with other networks, a common spectrum usage policy It contributes to the creation of spectrum rules set by regulatory bodies. It integrates into the system and monitors legal compliance. The system's operating scenario is as follows: Spectrum monitoring module (1) monitors 30 of the surrounding networks. It continuously scans the signal characteristics and converts the data into a behavioral analysis and prediction unit (2) It transmits. The behavior analysis and prediction unit (2) processes this data and predicts the future of neighboring networks. It predicts spectrum usage trends. The initiative intent scoring engine (3) predicts It calculates an initiative intent score for each neighboring network using trends and real-time data. When the calculated score threshold is exceeded by the dynamic spectrum access controller (4), the network 35 It updates the spectrum access strategy and sends a command to the adaptive resource allocation unit (5). 4 The adaptive resource allocation unit (5) optimizes the transmission power, frequency and modulation parameters. By doing so, it prevents any potential intrusion. All these processes are carried out through the network coordination interface (6) to other Spectrum efficiency is maximized by synchronizing with networks.

Claims

REQUESTS 1. Predicting the interference intent of neighboring networks in 6G shared spectrum usage. It is a system that regulates spectrum access, and its characteristic feature is;  a 5 that collects signal characteristics regarding spectrum usage of surrounding networks spectrum monitoring module (1),  Spectrum of neighboring networks from data received from spectrum monitoring module (1) creating usage behavior profiles and future spectrum usage trends a behavior analysis and prediction unit (2),  generated behavioral profiles, predicted spectrum usage trends, and instantaneous 10 An intention to interfere score for each neighboring network based on spectrum usage data. a business intention scoring engine (3),  By comparing the calculated intention to work score to at least one threshold value, the spectrum a dynamic spectrum that updates the access strategy before the initiative occurs access controller (4), 15  at least one transmission parameter depending on the updated spectrum access strategy an adaptive resource allocation unit (5) that adjusts and  information regarding the identified initiative intent and the implemented spectrum access strategy a spectrum that allows sharing with other networks or a central spectrum management unit Network coordination interface (6) 20 It includes. 30

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