Rank Estimation Device Reducing Receiver Power Consumption
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Solution Overview
Problem
The existing rank estimation process in MIMO-OFDM systems consumes a large amount of time and power due to the need to calculate communication capacity for all ranks, leading to increased load on the receiver.
Innovation Solution
A rank estimation device and method that includes separate calculation means for communication quality and variation values, allowing for the estimation of transmission rank using a simplified technique based on SNR and channel variation, reducing the computational load by switching between simplified and capacity-based estimation techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If communication capacity is calculated for all ranks to achieve accurate rank estimation, then estimation accuracy is improved, but calculation load and power consumption increase significantly
Solution Approach 1:
The patent segments the rank estimation process into two distinct parts: a simplified estimation method using communication quality values (SNR) for quick assessment, and a full communication capacity calculation performed only when needed. This segmentation allows the system to avoid the computationally expensive full capacity calculation in most cases while maintaining accuracy when required.
Solution Approach 2:
The patent changes the estimation parameter from communication capacity (which requires complex calculation) to communication quality value (SNR, which is simpler to compute). By using SNR as a proxy indicator and establishing its relationship with optimal rank, the system achieves efficient estimation without full capacity calculation, reducing power consumption while maintaining practical accuracy.
2Measurement precision
If communication capacity is calculated for all ranks to ensure accurate rank estimation, then estimation precision is improved, but processing time increases
Solution Approach 1:
The patent divides the rank estimation task into a fast simplified method using communication quality values and a slow accurate method using full communication capacity calculation. By segmenting the process this way, the system can complete most estimations quickly using the simplified method, reducing average processing time while resorting to the time-consuming full calculation only when higher precision is needed.
Solution Approach 2:
The patent applies partial action by using only the necessary portion of the full capacity calculation. Instead of always performing complete capacity calculations for all ranks, the system uses partial information (communication quality values) to achieve sufficient estimation accuracy in most cases, performing full calculations only when the simplified method is insufficient.
3Measurement precision
If full communication capacity calculation is performed for all ranks, then rank estimation accuracy is improved, but computational load increases
Solution Approach 1:
The patent segments the computational process into a simple communication quality value calculation and a more complex communication capacity calculation. By using the simple SNR-based method as the primary approach and reserving the complex capacity calculation for specific cases, the system reduces overall computational complexity while maintaining accuracy when needed.
Solution Approach 2:
The patent extracts the essential information needed for rank estimation from the full communication capacity calculation. By identifying that communication quality values (SNR) contain sufficient information for practical rank estimation, the system extracts this key parameter and uses it independently, removing the need for complete capacity calculations and thereby reducing computational complexity.
Data Source
AI summary
A rank estimation device in which a load on a rank estimation process can be reduced is provided.The rank estimation device of the exemplary embodiment is characterized by comprising a SNR estimation section which calculates a communication quality value, a channel variation estimation section which calculates a variation value that varies at a receiver, and a simplified rank estimation section which estimates a transmission rank based on the communication quality value calculated by the SNR estimation section and the variation value calculated by the channel variation estimation section.