Cascaded Multi-Connectivity Detection and Interference Mitigation
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Solution Overview
Problem
Cascaded multi-connectivity scenarios in communication networks lead to reduced performance and potential data traffic stalls due to uncoordinated optimization of individual multi-connectivity units, resulting in resource interference and congestion collapse, especially when different multi-connectivity techniques operate on different network layers.
Innovation Solution
A detection unit is implemented within the communication network to identify cascaded multi-connectivity scenarios through type-of-transmission signals, which analyzes the occurrence of cascaded multi-connectivity usage and sends steering signals to adapt the performance of multi-connectivity units, potentially deactivating or modifying their congestion control and path estimation to prevent interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple multi-connectivity units are deployed simultaneously to provide diverse access paths, then network coverage and connectivity options are improved, but uncoordinated optimization causes resource interference and performance degradation
Solution Approach 1:
The patent implements a feedback mechanism where the first multi-connectivity unit receives feedback information from the second multi-connectivity unit about its optimization actions. This feedback loop enables coordinated optimization by allowing the first unit to adjust its behavior based on the second unit's actions, thereby preventing resource interference while maintaining diverse connectivity options.
Solution Approach 2:
The patent introduces feedback information as an intermediary mechanism that mediates between multiple multi-connectivity units. This intermediary carries optimization status and action information between units, enabling them to coordinate their optimization efforts without direct conflict, thus resolving the contradiction between providing multiple connectivity options and maintaining performance stability.
2Productivity
If individual multi-connectivity units independently optimize their performance, then each unit achieves better local performance, but uncoordinated actions lead to congestion collapse and resource interference
Solution Approach 1:
The patent uses feedback information exchanged between multi-connectivity units to coordinate their independent optimization actions. The feedback mechanism allows each unit to be aware of the optimization status and actions of other units, enabling them to adjust their local optimization strategies to avoid resource interference while maintaining individual performance improvements.
Solution Approach 2:
The patent implements preliminary action by having multi-connectivity units exchange feedback information before executing optimization actions. This preliminary coordination allows units to anticipate potential resource conflicts and adjust their optimization strategies in advance, preventing resource interference and congestion collapse while maintaining local performance gains.
3Ease of manufacture
If cascaded multi-connectivity scenarios are allowed to operate independently, then deployment complexity is reduced, but interference effects cause data traffic stalls and performance degradation
Solution Approach 1:
The patent maintains deployment simplicity while preventing interference by implementing feedback mechanisms that operate at the network level. The feedback information exchange between multi-connectivity units allows for coordinated optimization without requiring complex centralized control, thus maintaining ease of deployment while preventing data traffic stalls and performance degradation.
4Adaptability or versatility
If multiple multi-connectivity techniques operate on different network layers simultaneously, then service differentiation and flexibility are improved, but uncoordinated optimization causes interference and congestion
Solution Approach 1:
The patent implements feedback information exchange between multi-connectivity units operating on different network layers. This feedback mechanism enables coordinated optimization across layers by allowing units to share their optimization status and actions, thereby preventing interference and congestion while maintaining service differentiation and flexibility.
Data Source
AI summary
A detection unit for discovering cascaded multi-connectivity scenarios in a communication network includes: an interface configured to communicate with the communication network, wherein one or multiple multi-connectivity devices of the network are designed to send type-of-transmission signals to the interface; and an evaluation unit programmed with a cascaded multi-connectivity detection algorithm, wherein the evaluation unit is provided with the type-of-transmission signals and analyzes the occurrence and/or a possible occurrence of cascaded multi-connectivity usage within the communication network based on the type-of-transmission signals.