Cloud-Based Self-Organizing Network Management
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Solution Overview
Problem
Current self-organizing wireless networks rely on local data processing at base stations, limiting the management and optimization of wireless communication systems, as centralized SON functions are mainly focused on policy management and aggregate parameters, lacking comprehensive management across the network.
Innovation Solution
Implementing a cloud-based management system that collects and analyzes data from multiple radio nodes and mobile devices to provide centralized, non-real-time optimization and management of self-organizing wireless networks, using a cloud server with components for network information collection, mobile information collection, information analysis, network optimization, and communication to make global improvements in network performance and resource distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distributed SON functions process data locally at base station level, then real-time local optimization is achieved, but comprehensive network-wide management and optimization are limited
Solution Approach 1:
The system segments SON functions into distributed real-time optimization at radio nodes and centralized non-real-time optimization at cloud servers, allowing each layer to handle appropriate tasks independently while maintaining overall system coherence
Solution Approach 2:
The patent introduces a new dimension of centralized cloud-based management that operates above the traditional distributed radio node level, enabling network-wide optimization while preserving local real-time response capabilities
2Device complexity
If centralized SON functions manage policy and aggregate parameters, then network-wide policy control is improved, but detailed local optimization capabilities are reduced
Solution Approach 1:
The system divides optimization responsibilities between centralized cloud servers handling policy and aggregate parameters, and distributed radio nodes handling local real-time parameters, with bidirectional information flow enabling both layers to function effectively
Solution Approach 2:
The patent implements feedback mechanisms where radio nodes send local measurement data to cloud servers, which process this information and return optimized parameter settings, creating a closed-loop system that combines local precision with centralized intelligence
3Device complexity
If cloud-based centralized management collects and analyzes data from multiple sources, then comprehensive network optimization is achieved, but data collection and processing time increase
Solution Approach 1:
The system employs periodic data collection and batch processing at cloud servers for non-real-time optimization tasks, reducing the urgency of data processing while maintaining comprehensive analysis capabilities
Solution Approach 2:
The patent implements partial centralized processing where only aggregate parameters and policy-level decisions are processed centrally, while detailed local optimization remains at radio nodes, avoiding the time cost of complete centralized processing
Data Source
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AI summary
Disclosed are system and method for managing self-organizing wireless networks by a cloud server. In an aspect, the cloud server is configured to collect from a plurality of radio nodes of the wireless networks statistical and predictive information about accessibility and performance of said nodes; collect from a plurality of mobile devices connected to the wireless networks at least statistical and predictive information about performance, location, mobility and services of said devices; analyze the collected information to assess the performance, loading and distribution of network resource among the radio nodes; determine, based on the analysis, optimization guidelines for performance, loading and distribution of network resources among the radio nodes; and send the optimization guidelines to the radio nodes in order to optimize performance, loading and distribution of network resources at the radio nodes and to make resource optimization decisions specific to the individual mobile devices.