Wireless Access Point Load Balancing via TITO Engine
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Solution Overview
Problem
Conventional wireless local area networks (WLANs) face inefficiencies in resource utilization due to inadequate load balancing among access points, leading to poor performance and instability, as mobile devices often associate with APs based solely on signal strength without considering traffic load, resulting in congestion and inefficient resource allocation.
Innovation Solution
A load balancing system utilizing the Hotspot 2.0 standard, which includes a transition management system and engines to instruct mobile devices to dissociate from heavily loaded APs and associate with less loaded ones based on real-time traffic conditions, without requiring additional hardware changes to APs, using a two-part model that recalculates optimal AP associations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile devices associate with APs based solely on signal strength, then connection establishment is simple and fast, but traffic load becomes unbalanced causing congestion and inefficient resource allocation
Solution Approach 1:
The system implements feedback mechanisms where APs broadcast their current traffic load status to mobile devices. The load balancing engine continuously monitors traffic conditions and provides real-time feedback to guide association decisions, enabling devices to select APs based on both signal strength and current load conditions, thus resolving the contradiction between simple connection establishment and efficient resource utilization
Solution Approach 2:
The patent introduces dynamic load balancing where AP associations are not static but can change based on real-time traffic conditions. The system dynamically adjusts association recommendations as traffic patterns change, allowing the network to adapt to varying load conditions while maintaining simple association procedures through automated engine-driven decisions
2Productivity
If load balancing is implemented by adding complex association criteria, then network resource utilization improves, but system complexity increases
Solution Approach 1:
The patent introduces a load balancing engine as an intermediary component that handles the complexity of load balancing decisions. This engine processes traffic load information and generates association recommendations, shielding mobile devices from complexity while enabling sophisticated load-balanced associations. The intermediary absorbs the computational burden and presents simplified decision guidance to end devices
Solution Approach 2:
The load balancing engine operates autonomously, automatically monitoring traffic conditions, calculating optimal associations, and implementing load balancing without requiring complex user-side processing. The system serves itself by internally managing the complexity of load distribution while presenting simple association interfaces to mobile devices, thereby improving resource utilization without increasing device complexity
Data Source
AI summary
Load balancing among wireless access points (APs) can include a plurality of wireless APs, and a transition-in transition-out (TITO) engine instructing a client to dissociate from a first wireless AP selected from the plurality of wireless APs and associate with a second wireless AP selected from the plurality of wireless APs.