Frequency Band Allocation for Wireless Load Balancing
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Solution Overview
Problem
Wireless communication systems face challenges in managing the impact of mobile devices on network load during peak mobility periods, leading to potential degradation in user experience for stationary devices due to resource competition and burstiness.
Innovation Solution
The system correlates traffic volume and mobility indicators to identify areas with high mobile device activity, reserves a frequency band for stationary devices before peak periods, and directs mobile devices to use alternative frequency bands during these times, thereby reducing the load on access nodes and maintaining service quality for stationary users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile devices are allowed to access the network during peak mobility periods, then network coverage and accessibility are maintained, but network load and resource competition increase leading to degradation in service quality for stationary devices
Solution Approach 1:
The patent segments the wireless device population into stationary and mobile categories based on mobility indicators. Different frequency bands are allocated to each segment: stationary devices receive dedicated access to a first frequency band, while mobile devices are directed to a second frequency band during peak mobility periods. This segmentation resolves the contradiction by allowing both segments to coexist without resource competition, maintaining service quality for stationary devices while preserving network accessibility for mobile devices.
Solution Approach 2:
The patent applies local quality by providing different service conditions to different types of wireless devices based on their mobility characteristics. Stationary devices located in areas with high mobile device activity during peak periods receive prioritized access to the first frequency band, ensuring high-quality service. Meanwhile, mobile devices are directed to the second frequency band. This differentiated approach maintains overall network accessibility while ensuring reliable service quality for the stationary segment that requires it most.
2Quantity of substance
If frequency bands are shared between stationary and mobile devices, then spectrum utilization is maximized, but load balancing and service quality degradation occur during peak mobility periods
Solution Approach 1:
The patent implements dynamic frequency band allocation that adapts to real-time mobility conditions. During peak mobility periods, the system dynamically directs mobile devices to the second frequency band while stationary devices maintain access to the first frequency band. During non-peak periods, the frequency bands can be shared or reallocated. This dynamic approach maximizes spectrum utilization across different time periods while maintaining effective load balancing during critical peak periods when it is most needed.
Solution Approach 2:
The patent applies periodic action by implementing time-based differentiation in frequency band allocation. The system identifies peak mobility periods and applies different frequency band allocation strategies during these periods compared to non-peak periods. During peak periods, strict separation is enforced to maintain load balancing; during non-peak periods, more flexible sharing is permitted to maximize spectrum utilization. This periodic switching resolves the contradiction between these two competing objectives.
3Reliability
If load balancing is implemented by directing mobile devices to alternative frequency bands, then service quality for stationary devices is maintained, but network complexity and control overhead increase
Solution Approach 1:
The patent applies preliminary action by pre-identifying stationary wireless devices before peak mobility periods begin. The system uses historical mobility patterns and current device states to classify devices as stationary or mobile in advance. This preliminary classification allows the network to prepare frequency band allocations before the actual peak period arrives, reducing the need for complex real-time control decisions during the peak itself. Service quality is maintained through this advance preparation, while control complexity is reduced by performing classification work beforehand.
Solution Approach 2:
The patent implements feedback mechanisms that monitor mobility indicators, traffic volume, and device behavior to continuously update the classification of wireless devices. This feedback loop allows the system to adapt to changing conditions and adjust frequency band allocations accordingly. The feedback mechanism simplifies control by providing real-time information about device states, enabling automatic load balancing decisions without requiring complex manual intervention. Service quality is maintained through this continuous monitoring and adaptive response.
Data Source
AI summary
Maps of high wireless device movement and high wireless device traffic are created. These maps are correlated over selected periods of time to determine when, and where, large numbers of wireless devices are both moving and creating problematic traffic. Stationary wireless devices using an access node in the problem area are identified before the selected time period (e.g., 30 minutes before commuting time). These stationary wireless devices are handed over to a reserved frequency band. During the selected time period, wireless devices requesting access in the problem area are denied access using the reserved frequency band and are instead forced to use another frequency band.