Dynamic Bandwidth Allocation in Wireless Access Points
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless network resource allocation methods are not adaptable to changing network conditions, leading to suboptimal data rates and limited capacity for mobile stations.
Innovation Solution
An access point dynamically changes its bandwidth allocation algorithm based on criteria such as the number of active mobile stations, time of day, or buffered data traffic, allowing for adaptive resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed bandwidth allocation algorithm is used, then the system is simple to operate, but the data rate and network capacity are suboptimal under changing network conditions
Solution Approach 1:
The patent implements dynamic bandwidth allocation by switching between different allocation algorithms based on real-time network conditions. The access point monitors metrics such as number of active mobile stations, buffered data traffic, and time of day, then dynamically selects the most appropriate algorithm from a set of predefined algorithms. This transforms the static resource allocation system into a dynamic one that adapts to changing network conditions, thereby improving data rates and network capacity.
2Productivity
If the access point dynamically changes bandwidth allocation algorithms, then the data rate and network capacity are optimized, but the system complexity increases
Solution Approach 1:
The patent changes the operational parameters of the bandwidth allocation system by switching between multiple predefined algorithms based on network conditions. Instead of implementing a completely new complex allocation mechanism, the system maintains a set of algorithms with different characteristics and selects among them based on monitored parameters such as number of active stations, buffered traffic volume, and time of day. This parameter-based selection approach optimizes network capacity while managing complexity through structured decision-making.
Solution Approach 2:
The patent implements a feedback mechanism where the access point continuously monitors network conditions including the number of active mobile stations, amount of buffered data traffic, and time of day. Based on this feedback, the system automatically selects the most appropriate bandwidth allocation algorithm from a set of predefined options. This closed-loop feedback system enables adaptive optimization of network capacity while keeping the complexity manageable through rule-based decision making.
3Speed
If bandwidth is allocated to maximize data rate for few mobile stations, then individual data rates are high, but the number of mobile stations that can be actively served is limited
Solution Approach 1:
The patent dynamically adjusts bandwidth allocation strategy based on the number of active mobile stations. When few stations are active, the system uses algorithms that concentrate bandwidth to maximize individual data rates. When many stations are active, the system switches to algorithms that distribute bandwidth more evenly to serve more stations simultaneously. This dynamic adaptation resolves the contradiction between maximizing data rate for few stations and serving a larger number of stations.
Solution Approach 2:
The patent applies different bandwidth allocation strategies (local qualities) to different network conditions. For scenarios with few active stations, it uses high-data-rate optimization algorithms. For scenarios with many active stations, it uses capacity-maximization algorithms. This localized approach to resource allocation allows the system to optimize for either data rate or number of served stations depending on the specific situation, rather than using a single fixed approach.
Data Source
AI summary
An access point for a wireless network, such as a base transceiver station, might use a variety of different methods to allocate its resources among mobile stations. For example, the access point might vary the way it allocates available bandwidth among the mobile stations, thereby also altering the data rates between the access point and the mobile stations. Various criteria, such as the number of the number of mobile stations actively communicating with the access point, might be used to trigger the access point to change how it allocates bandwidth among the active mobile stations.