Application-Aware Load Balancing for Wireless Networks
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Solution Overview
Problem
Current load balancing schemes in wireless access networks lack the ability to provision application-specific capacity allocation, preventing operators from optimizing bandwidth distribution for specific applications, which can lead to suboptimal Quality of Service (QOS) and revenue maximization.
Innovation Solution
An application-aware load balancing system that allocates bandwidth and call admission policies dynamically or statically based on configured policies, using a load balancing platform integrated with base stations to manage radio frequency resources, monitor traffic, and employ algorithms for proportional-fair scheduling to ensure even distribution of bandwidth among applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current load balancing schemes are used, then network capacity is distributed generally, but application-specific capacity allocation cannot be provisioned
Solution Approach 1:
The patent segments the load balancing system by introducing application identifiers that distinguish different application traffic flows. This allows the system to partition network capacity allocation by application type, enabling specific capacity provisions for each application while maintaining overall load balancing functionality.
Solution Approach 2:
The patent implements dynamic capacity allocation by allowing operators to configure application-specific capacity provisions that can be adjusted based on network conditions and application requirements. The system dynamically selects appropriate capacity allocations from configured policies rather than using static general distribution.
2Productivity
If application-specific load balancing policies are implemented, then operators can allocate capacity to particular applications, but provisioning capabilities must be enhanced
Solution Approach 1:
The patent applies preliminary action by allowing operators to pre-configure application-specific capacity allocation policies before actual network operation. These pre-configured policies are stored and automatically applied when corresponding application traffic is detected, eliminating the need for real-time complex provisioning decisions.
Solution Approach 2:
The patent introduces an intermediary mechanism (application identifier-based policy selection) that bridges the gap between general load balancing and application-specific capacity allocation. This intermediary layer enables sophisticated capacity management without requiring complete redesign of the provisioning system.
3Reliability
If bandwidth is distributed evenly among all applications, then network stability is maintained, but Quality of Service for specific applications cannot be optimized
Solution Approach 1:
The patent applies local quality by allowing different capacity allocation strategies to be applied to different application types. Instead of uniform bandwidth distribution, each application receives capacity provisions tailored to its specific QOS requirements, while the overall network maintains stability through controlled allocation.
Data Source
AI summary
An approach for providing application-aware load balancing is provided. A load balancing platform at a base station receives application information specifying an application or type of service utilized by a mobile device and determines allocation of a plurality of carriers based on the received application information to provide load balancing across the plurality of carriers. The platform generates mapping information indicating a mapping of a plurality of applications to one or more of the plurality of carriers, wherein the application information includes the generated mapping information.