Centralized Radio Resource Management for Inter-Cell Interference
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Solution Overview
Problem
Current radio resource management (RRM) approaches in wireless networks suffer from inefficiencies such as inter-cell interference, excessive signaling overhead, and resource wastage due to decentralized management, particularly in dense 5G networks, and existing machine learning methods for RRM are impractical due to lengthy training times and model mismatch.
Innovation Solution
A centralized intelligent interference and resource management framework using a RPA module, CSP module, RSS module, and RRM module, along with a database and open-RAN architecture, to dynamically update and optimize channel and RRM models based on network performance, reducing latency and overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If decentralized radio resource management is used, then each base station can independently allocate resources, but inter-cell interference increases and signaling overhead becomes excessive
Solution Approach 1:
The patent introduces a centralized controller as an intermediary between base stations to coordinate resource allocation decisions. This mediator collects channel state information from all base stations and users, processes it centrally, and generates coordinated resource allocation schemes that avoid inter-cell interference while maintaining operational efficiency
Solution Approach 2:
The system implements continuous feedback loops where base stations report channel state information and resource allocation outcomes to the centralized controller, which then adjusts future allocations based on observed interference patterns and network performance, creating a dynamic adaptation mechanism
2Reliability
If traditional RF sweep or user report methods are used for interference detection, then interference can be detected, but hardware complexity increases or detection accuracy is reduced due to delays
Solution Approach 1:
The patent replaces traditional RF sweep hardware mechanisms with a software-based centralized processing system that collects and analyzes channel state information from existing user equipment reports and base station measurements, eliminating the need for additional RF sweep hardware while improving detection accuracy through centralized analysis
Solution Approach 2:
The centralized controller performs multiple functions including interference detection, channel estimation, and resource allocation optimization using the same collected data, eliminating the need for separate dedicated interference detection hardware and achieving multi-objective optimization
3Device complexity
If coarse user categorization into center and edge users is used, then resource allocation can be simplified, but radio resource wastage increases
Solution Approach 1:
The patent applies different resource allocation strategies and parameters to different user groups based on their specific channel conditions, locations, and service requirements, rather than using a single coarse categorization. Each user receives customized allocation decisions that optimize resource utilization for their specific context
Solution Approach 2:
The system dynamically adjusts user categorization and resource allocation in real-time based on changing channel conditions, user mobility, and network load, allowing users to transition between categories and allocation schemes as conditions change, thereby reducing resource wastage while maintaining manageable complexity
Data Source
AI summary
Embodiments of the present disclosure relate to methods, apparatuses, and systems for intelligent interference management and radio resource management. According to an embodiment of the present disclosure, a system can include: a RPA module that determines whether an event triggering a network change occurs; a CSP module coupled to the RPA module via a first interface, wherein the CSP module updates a channel model for the network based on the event or periodically; a RSS module coupled to the RPA module via a second interface, wherein the RSS module updates a RRM model based on the event or periodically; and a RRM module coupled to the RSS module via a third interface, wherein the RRM module arranges radio resource to one or more base stations based on the RRM model. Embodiments of the present disclosure can mitigate signaling overhead as well as latency.