Adaptive DCI grouping and compression system based on control channel load estimation in 6G networks.

Abstract

The invention relates to the efficient use of control channel resources in 6G networks. The system has a structure that monitors and predicts the control channel load and optimizes DCI messages by grouping users according to these predictions. The Control Channel Monitoring Sensor (6), Traffic Analysis and Prediction Module (1), Dynamic User Grouping Unit (2), DCI Compression and Encoding Engine (3), Resource Management and Assignment Unit (4) and Feedback and Adaptation Interface (5) are the main components. The system predicts short-term load bursts, groups users according to service type, beam and QoS similarity, and transmits them with common DCI messages. In this way, the control channel load is reduced, spectral efficiency is increased and network interruptions are prevented.

Description

1 TARIFF Adaptive DCI grouping based on control channel load estimation in 6G networks. AND COMPRESSION SYSTEM Technical Area 5 The invention relates to the efficient use of control channel resources in 6G mobile networks. Specifically... Physical Downlink Control Channel (PDCCH) and Downlink Control Information (DCI) by detecting instantaneous load increases in transmissions in advance and reducing this load. It is a system that dynamically groups users. 10 State of the Art In current 5G and advanced LTE systems, a separate DCI is required for each user equipment (UE). messages are being transmitted. This situation is particularly prevalent in areas with high user traffic. This is causing the rapid depletion of PDCCH resources. Existing systems, control channel It tries to manage the load in real-time, but experiences short-term traffic bursts. It cannot predict this. This situation leads to packet losses, increased delays, and spectral... This leads to a decrease in efficiency. Furthermore, similar QoS requirements or the same beam Sending separate control signals even to users under the (beam) is an unnecessary 20 This results in a waste of resources. Current techniques involve static grouping or simple... Because it uses prioritization algorithms, it delivers the ultra-low latency required by 6G. It cannot meet high-density connectivity needs. Purpose of the Invention 25 The invention addresses situations where the PDCCH / DCI control channel load in 6G networks is expected to explode in the short term. It aims to detect problems through artificial intelligence-powered prediction. The system provides services to users. Dynamically grouping DCI based on beam type, beam similarity, and QoS parameters. It aims to compress messages. In this way, 30 groups exhibiting the same characteristics can be compressed. By communicating common control information to users, the load on the control channel is minimized. The primary goal of the invention is to prevent network outages by identifying control channel bottlenecks in advance. The aim is to prevent and increase spectral efficiency. Unlike the current technique, the invention only A proactive compression mechanism that analyzes short-term trends, not instantaneous load. This ensures a stable connection quality even in high-density environments. 35 is provided. 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. Traffic Analysis and Forecasting Module 2. Dynamic User Grouping Unit 3. DCI Compression and Encoding Engine 4. Resource Management and Assignment Unit 10 5. Feedback and Adaptation Interface 6. Control Channel Monitoring Sensor Detailed Description of the Invention The invention is a system that enables the optimum use of control channel resources in 6G networks. The system monitors and predicts the load on the control channel and directs users accordingly based on these predictions. It has a structure that optimizes DCI messages by grouping them. Control Channel Monitoring Sensor (6) monitors the instantaneous PDCCH usage rates on the network, DCI message 20 It continuously measures the intensity and signal quality of user equipment (UE). This sensor, By collecting raw data from the physical layer, it is fed into the Traffic Analysis and Forecasting Module (1) unit. It transmits. The Control Channel Monitoring Sensor (6) detects especially instantaneous load increases and resource depletion. By identifying trends, it enables the system to operate proactively. Traffic Analysis and Forecasting Module (1), transmitted by Control Channel Monitoring Sensor (6) It makes short-term load forecasts using data. This module uses historical traffic data and real-time information. It runs an artificial intelligence model that analyzes changes. The model, over a specific period of time... It calculates whether the PDCCH load will exceed the critical threshold within the specified range (e.g., 10ms-100ms). If the predicted load exceeds the defined safety threshold, the system automatically switches to 30. It switches to "Compression Mode" and triggers the Dynamic User Grouping Unit (2). Dynamic User Grouping Unit (2) clusters users according to certain criteria. It is a unit. This unit determines the service type (eMBB, URLLC, mMTC) and the beam they are in. It analyzes the (beam) ID and QoS (Quality of Service) requirements. 35 under the same beam. Users who are found together, have similar QoS values, and use the same type of service are grouped into a single group. 3 This grouping process allows for the unification of DCI messages. By recognizing it, it reduces the load on the control channel. DCI Compression and Encoding Engine (3), DCI optimized for grouped users This engine generates the DCI messages to be sent separately to each user. It converts common parameters into a single "Common DCI" message. The Common DCI message is... While general resource assignments for the group are included, user-specific information is kept to a minimum. This process saves control channel bandwidth and allows more users to access the same system. This allows them to receive the service immediately. Resource Management and Assignment Unit (4), the generated compressed DCI messages are physical resources It places it in blocks. This unit is produced by the DCI Compression and Encoding Engine (3). It receives messages and assigns them to the most suitable time / frequency slots on the PDCCH. Resource Management and Assignment Unit (4) can also perform group-based addressing with a single control signal. It allows multiple users to be granted access. 15 Feedback and Adaptation Interface (5), ACK / NACK from user equipment It collects signals and channel status information. If there is a communication issue due to compression, If a performance loss occurs, this information is transmitted to the Traffic Analysis and Forecasting Module (1). In this way, the system dynamically updates the grouping criteria or compression ratios. 20 The Feedback and Adaptation Interface (5) allows the system to adapt to environmental conditions and user It creates a closed-loop mechanism that allows it to adapt its behavior. The system operating scenario is as follows: Control Channel Monitoring Sensor (6), instantaneous PDCCH It measures the load and transmits it to the Traffic Analysis and Forecasting Module (1). Traffic Analysis and Forecasting 25 If the module (1) predicts a short-term load burst with its artificial intelligence model, Dynamic User Sends a signal to the Grouping Unit (2). Dynamic User Grouping Unit (2), It groups users based on service type, beamforming, and QoS similarity. DCI Compression and Encoding The engine (3) generates common DCI messages for these groups. Resource Management and Assignment Unit (4) publishes these messages on PDCCH. Finally, Feedback and Adaptation Interface 30 (5) optimizes the system by measuring transmission success. 35

Claims

4 REQUESTS 1. Artificial intelligence predicts that the load on the PDCCH / DCI control channel in 6G networks will explode in the short term. a predicted and grouped way of compressing DCI messages It is a system, and its feature is; 5 - Control Channel Monitoring Sensor that instantaneously measures and transmits data from the control channel load. (6), - Making short-term load forecasts using Control Channel Monitoring Sensor (6) data Traffic Analysis and Forecasting Module (1), - Dynamic User 10 clusters users based on service type, beamforming, and QoS similarity. Grouping Unit (2), - DCI Compression, which creates common DCI messages for grouped users. Coding Engine (3), - Resource Management and Assignment, which places generated messages into physical resource blocks. Unit (4) and 15 - Feedback updates the system by analyzing signals from user equipment. and Adaptation Interface (5) It includes.

2. According to Claim 1, the load on the PDCCH / DCI control channel in 6G networks will explode in the short term. AI-generated predictions and user groupings for DCI messages. It is a system that enables compression, and its feature is; Traffic Analysis and Prediction Module (1) when the control channel load is predicted to exceed a certain threshold The Dynamic User Grouping Unit (2) triggers the DCI Compression and Encoding unit. It includes a decision mechanism that activates the motor (3) unit. 25 3. According to Claim 1, the load on the PDCCH / DCI control channel in 6G networks will explode in the short term. AI-generated predictions and user groupings for DCI messages. It is a system that enables compression, and its feature is the DCI Compression and Encoding Engine (3) 30 projects implemented by the same company, located under the same beam and having similar QoS requirements. a system that optimizes control channel resources by creating a common DCI message for users It involves a compression process.

4. According to Claim 1, the load on the PDCCH / DCI control channel in 6G networks will explode in the short term. AI-generated predictions and user groupings for DCI messages. It is a system that enables compression and its feature is; Feedback and Adaptation Interface (5) This is done based on ACK / NACK signals received from user equipment. updating the grouping criteria and returning to the Traffic Analysis and Forecast Module (1) unit It involves an adaptation process that provides notification.

5. According to Claim 1, the load on the PDCCH / DCI control channel in 6G networks will explode in the short term. AI-generated predictions and user groupings for DCI messages. It is a system that enables compression, and its feature is; Resource Management and Assignment Unit (4) This process, performed by PDCCH, processes compressed DCI messages at the optimal time. It involves a resource assignment process that places resources into frequency slots. 15 25 35

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