Coherence Time Estimation for Wireless Beamforming
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately estimating channel coherence time and detecting mobility, which affects the performance of beamforming techniques and resource management, leading to suboptimal transmission and synchronization.
Innovation Solution
A method to estimate channel coherence time by computing channel observation parameters from received signals at multiple antennas, storing differences in bins sorted by time intervals, and generating a distribution-based estimate of coherence time, while also detecting mobility through analysis of channel parameter changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming information is updated at a high rate to maintain accuracy within channel coherence time, then transmission performance is improved, but system processing resources are consumed inefficiently
Solution Approach 1:
The patent implements dynamic adaptation of beamforming update rates based on detected channel coherence time. The system transitions from static periodic updates to dynamic updates that adjust frequency according to actual channel conditions, updating more frequently when coherence time is short and less frequently when coherence time is long, thereby optimizing the balance between accuracy and resource consumption
Solution Approach 2:
The system changes the update rate parameter based on measured channel coherence time characteristics. By measuring channel variations over time and determining the coherence time, the system adjusts the beamforming update interval to match the channel's temporal characteristics, ensuring accurate beamforming information while minimizing unnecessary updates
2Productivity
If beamforming information is updated at a low rate to conserve system resources, then processing efficiency is improved, but beamforming performance degrades due to stale information
Solution Approach 1:
The system dynamically adjusts the beamforming update rate based on real-time channel coherence measurements rather than using a fixed low update rate. This allows the system to maintain high processing efficiency during periods of long coherence time while ensuring beamforming accuracy is maintained when coherence time decreases
Solution Approach 2:
The patent implements a feedback mechanism where channel coherence time is continuously measured and used to adjust beamforming update rates. The system monitors channel variations, determines coherence time from the measurement data, and uses this information to control the timing of beamforming updates, creating a closed-loop system that adapts to changing conditions
3Productivity
If channel coherence time is accurately estimated to optimize beamforming updates, then resource allocation is improved, but measurement and processing complexity increases
Solution Approach 1:
The system uses existing channel measurement data obtained during normal wireless communication operations to estimate channel coherence time. Rather than requiring separate dedicated measurement procedures, the system leverages routinely collected channel state information, thereby avoiding additional measurement overhead while still achieving accurate coherence time estimation
Solution Approach 2:
The patent makes the channel measurement data serve multiple functions: it is used both for determining beamforming parameters and for estimating channel coherence time. This multi-functional use of the same measurement data eliminates the need for separate complexity-inducing measurement systems while enabling optimized resource allocation
Data Source
AI summary
Techniques are provided to measure how fast a wireless channel is changing between a first wireless communication device (e.g., a wireless base station or access point) and a second wireless device (e.g., a wireless client device) based on signals that the first communication wireless device receives at a plurality of antennas from a second wireless communication device. Techniques are also provided to measure a degree of mobility of the second wireless communication device based on signals received at the first communication wireless device from the second communication wireless device.