Dense Mesh Network Auto-Configuration for Low-Interference Clustering
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Solution Overview
Problem
In high-density hybrid office environments, existing wireless local area networks face challenges with limited transmit power controls, leading to reduced device connectivity and compromised signal-to-noise ratios due to high interference, which is exacerbated by the need for multiple concurrent channels that exceed the available number of non-overlapping channels.
Innovation Solution
Implementing auto-configuration of dense Information Handling System (IHS) mesh networks through dynamic scaling of transmit power and unique identification of clusters using beacon information elements, with both distributed and centralized management policies, enabling efficient cluster formation and frequency diversification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If transmit power is reduced to manage interference in high-density environments, then network interference is reduced, but device connectivity and signal-to-noise ratio deteriorate
Solution Approach 1:
The network is segmented into multiple Independent Basic Service Sets (IBSSs) or clusters, each operating on different frequency channels. This segmentation allows devices to connect within their local cluster while interference between clusters is minimized through frequency division, thus maintaining connectivity without requiring high transmit power across the entire network.
Solution Approach 2:
The patent introduces frequency channel dimension to the network organization. Instead of all devices competing on the same channel, devices are organized into clusters that operate on different frequency channels (e.g., 1, 6, 11, 12, 13, 14). This dimensional expansion resolves the contradiction by providing multiple pathways for communication, maintaining connectivity while reducing interference through frequency diversity.
2Use of energy by moving object
If transmit power is reduced to extend battery life, then energy consumption is reduced, but signal-to-noise ratio and connectivity deteriorate
Solution Approach 1:
By segmenting the network into localized clusters, devices only need to communicate with nearby peers within the same cluster at low power levels. The clustering structure ensures that low transmit power is sufficient for connectivity within the cluster, extending battery life while maintaining adequate signal-to-noise ratio for local communications.
Solution Approach 2:
The patent implements local quality by having each cluster operate with optimized parameters for its local environment. Devices within a cluster use low transmit power appropriate for short-range communication, while the cluster's frequency channel is selected to minimize local interference. This localized optimization maintains signal quality without requiring high power transmission.
3Quantity of substance
If more concurrent channels are allocated to meet bandwidth needs, then bandwidth capacity is increased, but the number of available non-overlapping channels is exceeded
Solution Approach 1:
The network bandwidth is segmented across multiple frequency channels, with each cluster assigned to a specific channel. This segmentation allows the overall network to support many concurrent communications across different channels, effectively increasing total bandwidth capacity while each individual cluster uses only one non-overlapping channel, avoiding interference.
Solution Approach 2:
The patent utilizes the frequency dimension to expand network capacity. By organizing clusters across multiple frequency channels (2.4 GHz band channels 1, 6, 11, 12, 13, 14), the system achieves high concurrent channel support without exceeding the available non-overlapping channels in any single frequency band, as clusters are distributed across different channels.
4Manufacturing precision
If manual configuration is used to manage cluster IDs and frequency channels, then configuration precision is improved, but system complexity and deployment difficulty increase
Solution Approach 1:
The patent implements self-service through automatic cluster formation and configuration mechanisms. When a device joins the network, it automatically discovers existing clusters, selects an appropriate frequency channel, and configures its cluster ID without manual intervention. This self-configuration maintains precise channel and ID allocation while eliminating the complexity of manual setup and reducing deployment difficulty.
Solution Approach 2:
The system uses feedback mechanisms where devices broadcast their presence and configuration status, and other devices respond accordingly. This feedback loop enables automatic resolution of channel conflicts and proper cluster ID assignment, achieving precise configuration through distributed intelligence rather than centralized manual control, thus reducing system complexity.
Data Source
AI summary
In auto-configuration of dense mesh networks an Information Handling System (IHS) runs an advertisement service when the IHS is powered on and transmits a wireless local area network beacon information element that includes wireless node IHS specific information. The IHS dynamically scales transmit power of advertisement packets, from a low power. In response to the IHS finding a cluster host, the IHS accepts configuration of the IHS with an identification for a cluster of the cluster host and a frequency channel within the cluster. In response to the IHS not finding a cluster host, the IHS identifies as a new (cluster) host IHS and defines an identification for the new cluster. The cluster identification may be a Basic Secure Set (BSS) color field of the information element. Defining the identification for a cluster may use a distributed cluster policy, or may use a centralized managed cluster policy.