Sensor Data Batching for Early Data Transmission
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Solution Overview
Problem
Current cellular IoT devices face challenges with low throughput during early data transmission (EDT) in wireless communication systems, particularly in scenarios where the data size exceeds the provided uplink grant, leading to inefficient resource utilization and spectral inefficiency.
Innovation Solution
A method is introduced where a user equipment (UE) determines if EDT is being used and informs the application of configuration parameters. The application then alters the sensor data properties, such as data size, by omitting non-essential metadata or choosing different encodings, to optimize transmission within the given Transport Block Size (TBS).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the UE transmits sensor data during EDT procedure, then the data transmission speed is improved, but the spectral efficiency deteriorates when data size exceeds uplink grant
Solution Approach 1:
The application dynamically adjusts sensor data properties (sampling rate, resolution, metadata inclusion) based on the available uplink grant size received during EDT procedure. This dynamic adaptation allows the system to optimize between transmission speed and spectral efficiency by matching data generation rate to available resources.
Solution Approach 2:
The system changes parameters of sensor data such as sampling interval, data resolution, and metadata detail level to fit within the allocated Transport Block Size. By modifying these parameters, the application ensures efficient use of uplink resources while maintaining acceptable data quality for the IoT application.
2Loss of information
If the UE includes comprehensive metadata in sensor data, then the data completeness is improved, but the data size increases exceeding available uplink resources
Solution Approach 1:
The application transmits only essential metadata and sensor data that fits within the available uplink grant during EDT. Non-critical metadata or less important sensor measurements are omitted or transmitted in subsequent transmissions, allowing the system to achieve partial data completeness while respecting resource constraints.
Solution Approach 2:
The system extracts and transmits only the most critical sensor measurements and essential metadata during EDT, leaving out less important information. This selective extraction ensures that the transmitted data package fits within the limited uplink resources while maintaining the core functionality of the IoT application.
3Area of stationary object
If the UE uses high repetition factor for coverage enhancement, then the coverage range is improved, but the data rate decreases
Solution Approach 1:
The application prepares and compresses sensor data in advance before transmission, optimizing the data size to fit within the available uplink grant. This preliminary data preparation ensures that maximum use can be made of the limited transmission opportunities provided by high repetition factor configurations, thereby improving effective data rate within the coverage enhancement framework.
Data Source
AI summary
A method of operating a user equipment, UE, that is operating in a network includes determining whether the UE and/or an application that is running on the UE is using or planning to use an early data transmission, EDT, to transmit sensor data via the network. Operations include responsive to determining that the UE and/or the application that is running on the UE is using or planning to use the EDT, informing the application of configuration parameters corresponding to the EDT and altering, by the application and based on the configuration parameters corresponding to the EDT, properties of the sensor data that is provided to the UE for transmission to the network to include revised sensor data.