Dynamic Time Slot Allocation for Mobile Network Collision Avoidance
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Solution Overview
Problem
Mobile multiple access communication networks face challenges in maintaining a consistent update rate and avoiding RF collisions due to the finite maximum range and dynamic changes in network participants, which affects data transmission efficiency and accuracy.
Innovation Solution
The solution involves dynamically adjusting the network's maximum range and time slot allocation based on the number of participants, using a coordinated frequency series to prevent collisions, and optimizing data transmission by prioritizing important data and rearranging it according to relevance and proximity, while also enhancing GPS accuracy with a low-cost, high-accuracy clock.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If time slices are allocated to each participant to prevent RF collisions, then collision avoidance is improved, but data transmission efficiency deteriorates due to idle time slots
Solution Approach 1:
The patent implements dynamic time slice allocation where the network controller continuously monitors the number of active participants and adjusts the time slice configuration in real-time. When fewer participants are active, time slices are consolidated or reduced, eliminating idle slots and improving transmission efficiency while maintaining collision avoidance through the coordinated frequency series protocol
Solution Approach 2:
The system changes the parameter of time slice duration and allocation based on network conditions. The network controller dynamically modifies the number and length of time slices assigned to participants, adapting to varying network traffic patterns and participant counts to optimize both collision prevention and data throughput
2Area of stationary object
If the network maximum range is increased to cover more participants, then network coverage is improved, but update rate consistency deteriorates due to varying propagation delays
Solution Approach 1:
The patent segments the network into multiple zones or regions with different maximum range configurations. The network controller divides the coverage area into segments and applies different time slice allocations and frequency coordinates to each segment, allowing large-scale coverage while maintaining consistent update rates within each segment through localized coordination
Solution Approach 2:
The system introduces an additional dimension of spatial-zonal organization to manage network coverage. By dividing the network area into distinct zones with tailored maximum range settings and coordinated frequency series, the patent achieves both extensive coverage and consistent update rates through multi-dimensional network architecture
3Device complexity
If a fixed number of time slices is allocated, then system simplicity is maintained, but adaptability to dynamic participant changes deteriorates
Solution Approach 1:
The patent implements a self-service mechanism where participants automatically register and deregister with the network controller, and the controller autonomously recalculates and redistributes time slices based on current participant counts. This automated adaptation maintains system simplicity by eliminating manual reconfiguration while providing full adaptability to dynamic changes through self-managing protocols
Data Source
AI summary
A method for estimating engine thrust values of an aircraft is disclosed, the method comprising calculating estimated thrust value of an engine based on an equation of longitudinal motion, aircraft data measured during flight and calibrated drag/lift models, and a method for determining the thrust of an aircraft engine, based on information available from tracking the aircraft air-speed, acceleration, and position, the method comprising calculating the thrust, using the following equation: Thrust=mg{dot over (H)}/V+m{dot over (V)}+Drag.