Network Node Dynamic Resource Association for Load Balancing
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Solution Overview
Problem
Conventional wireless communication systems face challenges in efficiently distributing radio access resources among network nodes, leading to suboptimal user association and load balancing, especially in heterogeneous networks, where existing solutions fail to account for traffic demands and resource utilization dynamics, resulting in reduced spectral efficiency and inadequate service quality.
Innovation Solution
A network node processor dynamically associates user devices with radio access resources based on channel quality information and load data, optimizing resource allocation for both long-term load balancing and short-term channel conditions, using a method that iteratively updates associations and utilization to maximize network performance and user data rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users are associated with network nodes based on strongest signal strength, then connection reliability is improved, but network resource utilization deteriorates
Solution Approach 1:
The patent changes the association parameter from signal strength alone to a composite parameter that includes both channel quality and traffic load. This allows the system to maintain reliable connections while improving network resource utilization by considering the current load state of network nodes.
Solution Approach 2:
The patent introduces dynamic load balancing where network nodes continuously update their traffic load information and users dynamically re-associate based on current conditions. This dynamic approach ensures both connection reliability and optimal resource utilization as network conditions change.
2Object-affected harmful factors
If traffic load is concentrated in fewer network nodes, then inter-cell interference is reduced, but network capacity deteriorates
Solution Approach 1:
The patent implements dynamic load balancing that continuously monitors and adjusts traffic distribution across network nodes. This dynamic approach allows the system to concentrate traffic when it reduces interference while maintaining overall network capacity by preventing any single node from becoming overloaded.
Solution Approach 2:
The patent uses feedback mechanisms where network nodes report their traffic load and channel quality information to users. This feedback enables users to make informed association decisions that balance interference reduction with maintaining network capacity.
3Productivity
If existing load balancing mechanisms are used, then traffic distribution is improved, but spectral efficiency deteriorates
Solution Approach 1:
The patent changes the association criterion from traditional parameters to include explicit spectral efficiency considerations. By incorporating channel quality information alongside traffic load, the system achieves better traffic distribution while maintaining or improving spectral efficiency.
Data Source
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AI summary
The invention relates to a network node for a wireless communication system (500). The first network node (100) comprises a processor (102) configured to obtain channel quality information for a user device (400), obtain a load information for first radio access resources (R1), determine a first association (A1) of the first radio access resources (R1) to the user device (400) based on the channel quality information and the load information, the first association (A1) being valid during a first validity time period (T1), compute first user data rates (DR1) for the first radio access resources (R1) based on the channel quality information, determine a utilization of the first radio access resources (R1) based on the first association (A1) and the first user data rates (DR1), wherein the utilization of the first radio access resources (R1) indicates radio access resource to be used for transmission or reception of data to or from the user device (400). Furthermore, the invention also relates to a corresponding method, a wireless communication system, a computer program, and a computer program product.