Sensor Traffic Data Encoding in Random Access Resources
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Solution Overview
Problem
Traditional wireless access networks are inefficient in handling a large number of sensor devices, which can lead to overloading due to their communication model being designed for traditional user equipment, resulting in high signaling overhead, battery consumption, and inefficient use of radio resources, especially during simultaneous reporting events known as 'reporting storms'.
Innovation Solution
Encoding traffic data from sensor devices into sequences of codes that can be transmitted directly in random access resources of the wireless access network, reducing signaling overhead and optimizing the use of radio resources, and configuring different groups of sensor devices to use distinct codes for efficient data processing and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional wireless access network communication model is used for sensor devices, then network coverage and basic connectivity are maintained, but signaling overhead increases and network overload occurs during reporting storms
Solution Approach 1:
The patent combines traffic data transmission with random access channel transmissions by encoding traffic data into sequences of codes that can be transmitted in random access resources. This merging eliminates the need for separate dedicated signaling channels, thereby reducing signaling overhead while maintaining network connectivity for sensor devices.
Solution Approach 2:
The patent enables random access resources to serve dual purposes: both traditional random access signaling and traffic data transmission. By making these resources multi-functional, the system reduces the need for additional dedicated signaling resources, thereby reducing overall signaling overhead while preserving connectivity.
2Reliability
If traditional scheduled access is used for sensor data transmission, then data transmission reliability is maintained, but latency increases and battery consumption rises
Solution Approach 1:
The patent performs preliminary encoding of traffic data into sequences of codes at the sensor device before transmission. This pre-processing allows the data to be ready for immediate transmission in the next available random access opportunity, eliminating waiting time for scheduling and thereby reducing latency while maintaining reliability through the structured encoding scheme.
Solution Approach 2:
The patent enables sensor devices to autonomously encode and transmit their own traffic data using available random access resources without requiring network scheduling. This self-service approach eliminates scheduling delays and reduces battery consumption by allowing devices to transmit data immediately when ready, rather than waiting for network allocation.
3Reliability
If dedicated resources are allocated for each sensor device, then individual device performance is optimized, but radio resource efficiency decreases during reporting storms
Solution Approach 1:
The patent merges traffic data from multiple sensor devices into shared random access resources by encoding each device's data into distinct code sequences. This combining approach allows multiple devices to transmit simultaneously without requiring dedicated resources, thereby improving radio resource efficiency during reporting storms while maintaining individual device performance through unique code identification.
Solution Approach 2:
The patent uses a large pool of available codes in random access resources, utilizing only the portion needed for active sensor devices. This partial utilization of the code pool allows the system to scale dynamically with the number of active devices, improving resource efficiency during reporting storms when not all codes are simultaneously needed, while still providing dedicated performance for each active device.
4Adaptability or versatility
If traditional communication protocols are used for sensor devices, then protocol compatibility is maintained, but battery consumption increases due to frequent scheduling requests
Solution Approach 1:
The patent makes random access resources multi-functional by enabling them to carry both traditional signaling and traffic data. This universality allows sensor devices to transmit data without initiating separate scheduling request procedures, thereby reducing the number of protocol exchanges and significantly lowering battery consumption while maintaining compatibility with existing network protocols.
Solution Approach 2:
The patent extracts the traffic data transmission function from the traditional scheduled access protocol and integrates it directly into random access transmissions. By removing the need for separate scheduling request and grant exchanges, the system reduces battery consumption while maintaining protocol compatibility through the use of standardized random access procedures.
Data Source
Figure 1
Figure 2A~2B
Figure 3
AI summary
An electronic device encodes traffic data as a collection of codes. The electronic device sends the codes in random access resources or shared transmission resources over a wireless link to a wireless access network node, the codes providing an encoded representation of the traffic data.