Multi-mode Network Coordination via Cross-Mode Metric Compensation
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Solution Overview
Problem
Current wireless networks operating in multiple modes (frequency bands and/or Radio Access Technologies) lack effective Self Optimizing Network (SON) techniques to optimize network performance across these modes, leading to suboptimal performance and coordination issues.
Innovation Solution
A processor-readable medium and apparatus that calculate and implement metric values for antenna and parameter adjustments across different modes to compensate for performance changes, ensuring optimal network performance by coordinating optimization across multiple modes using common or different SON objectives and antenna configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If SON techniques are implemented in multi-mode networks to optimize network performance, then overall network performance is improved, but device complexity and coordination requirements increase
Solution Approach 1:
The patent segments the multi-mode network optimization into separate SON modules, each responsible for a specific mode (e.g., 2G, 3G, 4G). Each SON module independently calculates metric values for its designated mode, avoiding the need for a single complex coordination system while maintaining overall network optimization through modular architecture.
2Reliability
If metric values are calculated and implemented for antenna adjustments in one mode, then performance in that mode is improved, but performance in other modes may degrade due to inter-modal relationships
Solution Approach 1:
The patent implements a feedback mechanism where each SON module monitors performance indicators across all modes and adjusts metric values accordingly. When an antenna adjustment improves performance in one mode, the feedback system detects potential degradation in other modes and compensates by adjusting metric values in those modes, creating a self-regulating optimization system.
Solution Approach 2:
The patent dynamically changes parameters (metric values) based on the operating mode. Different metric values are calculated and applied for different modes (2G, 3G, 4G) to account for their distinct characteristics and inter-modal relationships, allowing optimal performance in each mode without causing harmful effects to others.
Data Source
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AI summary
A non-transitory processor-readable medium stores code to cause a processor to receive a performance indicator associated with a first mode. The code causes the processor to calculate, using the performance indicator associated with the first mode, a first metric value associated with a first metric and an objective of the first mode. The code causes the processor to calculate, using the first metric value, a second metric value associated with a second metric and an objective of a second mode. The second metric value partially compensates for a change in a performance indicator associated with the second mode when the first metric value is implemented. The code causes the processor to send a signal associated with the first metric value and a signal associated with the second metric value to an antenna module such that the antenna module implements the first metric value and the second metric value.