MTC Device Power Saving via Adaptive Signal Decoding
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Solution Overview
Problem
In Machine Type Communication (MTC) technology, repeated transmissions to extend coverage area lead to increased power consumption for both MTC devices and base stations, necessitating a method to reduce power usage.
Innovation Solution
Setting a decoding start point and decoding period for repeatedly received signals, and adaptively adjusting these parameters based on channel state, channel changes, and message type to optimize power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If repeated transmissions are used to extend coverage area, then coverage area is improved, but power consumption increases
Solution Approach 1:
The patent applies dynamics by making the decoding operation conditional and adaptive rather than static and continuous. The base station dynamically determines whether to perform decoding based on received signal strength indicators (RSSI) and pre-coded sequence correlation values, adjusting its behavior according to channel conditions and signal quality metrics.
Solution Approach 2:
The patent changes the parameter of decoding operation from always-executing to conditionally-executing based on threshold comparisons. By comparing RSSI and correlation values against predetermined thresholds, the system transitions the decoding state between active and inactive, thereby controlling power consumption while maintaining coverage area through selective repeated transmissions.
2Reliability
If repeated transmissions are performed, then signal reliability is improved, but power consumption increases
Solution Approach 1:
The patent implements feedback mechanisms where the base station continuously monitors RSSI and pre-coded sequence correlation values during repeated transmissions. Based on this feedback, the base station determines whether to continue or stop decoding operations, creating a closed-loop control system that maintains signal reliability while optimizing power consumption through adaptive decision-making.
Solution Approach 2:
The patent applies preliminary action by performing measurements (RSSI and correlation value calculations) before committing to full decoding operations. These preliminary assessments allow the system to predict signal quality and determine in advance whether decoding is necessary, preventing unnecessary power consumption while ensuring reliable decoding only when conditions warrant it.
3Measurement precision
If continuous monitoring of repeated signals is performed, then decoding accuracy is improved, but power consumption increases
Solution Approach 1:
The patent applies partial action by performing only the necessary measurements (RSSI and correlation values) required to assess signal quality, rather than continuously executing full decoding operations. This selective approach achieves sufficient measurement precision to determine decoding necessity while consuming significantly less power than continuous monitoring would require.
Data Source
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AI summary
Provided are a communication method and system that integrate 5G communication systems with IoT technologies to support higher data rates after 4G systems. The present disclosure is based on 5G communication technologies and IoT related technologies, and may be applied to intelligent services such as smart homes, smart buildings, smart cities, smart or connected cars, health care, digital education, retail, and security and safety. The present disclosure relates to a method and apparatus for reducing power consumption in an electronic device supporting machine type communication. There is provided a method of signal processing for an electronic device in a mobile communication system. The method may include: obtaining repetition level information for signal reception; determining a decoding start point and decoding period; and making, if the decoding start point arrives, an attempt to decode the repeatedly received signal at every decoding period on the basis of the repetition level information.