Cognitive Wireless Distribution Units for Multi-Band Load Balancing
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Solution Overview
Problem
In wireless networks within aircraft or vehicles, multiple wireless access points (WAPs) across multiple bands lead to congestion, resource imbalances, and uncontrolled interference, resulting in performance degradation and limiting clients' ability to utilize available WAPs effectively.
Innovation Solution
A system comprising wireless distribution units (WDUs) with cognitive engines that collect and manage information from client devices and WAPs to implement load balancing and band steering, using optimization algorithms to balance load and manage WAPs across multiple bands, thereby optimizing network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple wireless access points are deployed across multiple bands, then network coverage is improved, but congestion and interference increase
Solution Approach 1:
The system continuously monitors radio conditions, client distributions, and interference levels across all WAPs and bands. This feedback mechanism enables dynamic adjustment of WAP configurations, power levels, and band allocations to optimize coverage while minimizing congestion and interference in real-time
Solution Approach 2:
The system dynamically changes operational parameters including transmission power levels, band selections, and WAP activation states based on real-time network conditions. By adjusting these parameters, the system maintains comprehensive coverage while adapting to varying congestion and interference conditions across different bands and locations
2Quantity of substance
If multiple wireless access points are deployed, then network capacity is increased, but resource imbalance occurs
Solution Approach 1:
The system implements dynamic load balancing that continuously monitors and redistributes network loads across WAPs and bands. Client associations are dynamically adjusted based on current resource availability, ensuring balanced utilization of network capacity while preventing any single WAP or band from becoming overloaded or underutilized
3Reliability
If multiple wireless access points are deployed, then signal availability is improved, but uncontrolled interference proliferation occurs
Solution Approach 1:
The system employs interference monitoring and feedback mechanisms that detect interference patterns across the network. When interference is detected, the system automatically adjusts WAP configurations, modifies band allocations, or redistributes clients to minimize interference while preserving signal availability for all users
Solution Approach 2:
The system acts as an intermediary that coordinates communications and resource allocations between multiple WAPs. By centralizing control and mediation functions, the system prevents uncontrolled interference proliferation while maintaining comprehensive signal availability across the network
Data Source
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AI summary
Systems and methods are described for managing wireless access points in a multi-band wireless network. The systems and methods can involve one or more wireless distribution units that are each associated with a set of wireless access points and a data collector that collects information about an environment where that wireless distribution unit is located. Based on the information collected, a control unit that is communicatively coupled with the one or more wireless distribution units can utilize a central cognitive engine to balance a load across the one or more wireless distribution units.