MDU Mesh Topology Refinement via Performance Broadcasting
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Solution Overview
Problem
Current wireless telecommunication networks face challenges in dynamically optimizing the topology of distributed unit mesh networks for wireless backhaul communications, leading to suboptimal performance and increased manual effort in configuring and modifying routes between mesh distributed units (MDUs).
Innovation Solution
The implementation of a system where MDUs broadcast performance metrics and availability information, allowing them to select and refine connections based on performance scores, latency, error rates, and other metrics, enabling dynamic adjustment of MDU routes to ensure optimal wireless backhaul transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration and modification of MDU routes is used, then network topology can be established, but optimization performance is suboptimal and manual effort increases
Solution Approach 1:
The MDUs autonomously perform topology refinement by broadcasting their own performance metrics and automatically selecting optimal connections based on received metrics from other MDUs, eliminating the need for manual configuration and continuous human intervention for network optimization
Solution Approach 2:
MDUs continuously broadcast performance metrics (latency, error rates, throughput) to other MDUs, creating a feedback loop that enables dynamic, real-time topology optimization where each MDU adjusts its connections based on received performance data from the network
2Reliability
If dynamic optimization of MDU topology is implemented, then transmission performance is improved, but system complexity increases
Solution Approach 1:
The topology refinement process is segmented into independent MDU units, where each MDU independently broadcasts its performance metrics and independently selects its optimal connections, distributing the computational complexity across multiple nodes rather than requiring a centralized complex optimization system
Solution Approach 2:
MDUs dynamically adjust network topology by changing connection parameters based on broadcasted performance metrics, allowing the system to adapt to varying network conditions while maintaining manageable complexity through standardized metric-based decision rules
Data Source
AI summary
A system described herein may provide a technique for the discovery and connection of Mesh Distributed Units (“MDUs”), which may establish a mesh topology and perform wireless backhaul of data between a core network and a User Equipment (“UE”). Multiple MDUs in an MDU network may be connected to establish an MDU route. One or more connected MDUs may broadcast an indication that the MDU is available to connect, one or more performance metrics, or an MDU performance score based on performance metrics. This broadcast may iteratively repeat in order to refine the mesh network topology in an ongoing process.