Location-Based Handoff Using Predicted Mobile Unit Trajectories
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing location-based handoff technologies in cellular and wireless networks primarily rely on signal strength, which can lead to inefficient resource management and user experience issues, as they do not effectively anticipate and prepare for mobile units' predicted locations and travel patterns.
Innovation Solution
A method that determines the coverage areas of base stations and uses predicted location parameters, including direction and destination, to transition mobile units between base stations, allowing for proactive resource reservation and management, thereby improving handoff timing and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If handoff is based on signal strength, then handoff timing is determined by current connection quality, but the system cannot anticipate mobile unit movements or prepare resources in advance
Solution Approach 1:
The system performs preliminary actions by determining the mobile unit's predicted location using location parameters (such as GPS coordinates, velocity, and direction) before the actual handoff occurs. This allows the network to proactively identify the target base station and reserve necessary resources in advance, rather than waiting for signal strength thresholds to trigger reactive handoff decisions.
Solution Approach 2:
The handoff mechanism transitions from a static signal-strength-based threshold approach to a dynamic location-based approach. The system continuously updates the mobile unit's predicted location based on changing location parameters and adjusts handoff timing accordingly, enabling adaptive resource allocation that responds to the mobile unit's movement patterns rather than fixed signal thresholds.
2Productivity
If handoff is triggered by signal strength thresholds, then resource allocation is reactive, but network resource utilization is inefficient due to lack of proactive reservation
Solution Approach 1:
The system determines the mobile unit's predicted location in advance and proactively reserves network resources at the target base station before the handoff occurs. This preliminary resource reservation improves network resource utilization by preventing resource conflicts and ensuring seamless handoff, while the complexity is managed through automated algorithms that calculate predicted locations based on location parameters.
Solution Approach 2:
The system employs feedback mechanisms where the mobile unit's location parameters (position, velocity, direction) are continuously monitored and fed back to the network. This feedback loop enables the network to adjust resource allocation dynamically based on actual movement patterns, optimizing resource utilization while maintaining manageable complexity through established feedback control algorithms.
3Reliability
If traditional signal-based handoff is used, then handoff decisions are simple to implement, but user experience suffers due to disruption and lack of seamless transition
Solution Approach 1:
The system performs preliminary handoff preparation by identifying the target base station based on predicted location and reserving resources in advance. This ensures reliable and seamless handoff transitions, as the target base station is already prepared to accept the mobile unit. The increased reliability is achieved through proactive resource reservation and coordinated handoff execution, while implementation complexity is managed through automated algorithms.
Solution Approach 2:
The handoff mechanism transitions from static signal-strength thresholds to dynamic location-based predictions. The system continuously updates predicted location based on changing location parameters and adjusts handoff timing dynamically, enabling seamless transitions that adapt to the mobile unit's movement patterns. This dynamic approach improves reliability by ensuring handoffs occur at optimal moments rather than based on fixed thresholds.
Data Source
AI summary
A method includes determining a coverage area for each of a plurality of base stations. The method also includes receiving a first location parameter indicative of a mobile unit's location. The method further includes transitioning a first connection between the mobile unit and a first base station of the plurality of base stations to a second connection between the mobile unit and a second base station of the plurality of base stations. The transition is based on the coverage areas of the first base station and the second base station and the first location parameter.