Joint Channel State Estimation for Multiple UEs
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Solution Overview
Problem
Existing wireless communication systems require individual estimation of channel states for each user equipment (UE), which is time-consuming and inefficient, especially in LTE networks where multiple UEs need to transmit feedback data and user data simultaneously.
Innovation Solution
A method that selects a predetermined number of tones with similar channel states across multiple UEs, allowing for the estimation of channel states in a single instance by constructing a matrix with known pilot values and applying a filter on the received pilot samples, thereby reducing the number of channel states to be estimated and processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual channel state estimation is performed for each UE, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent combines channel state estimation for multiple UEs into a single joint estimation process. Instead of estimating channel states for each UE separately, the receiver performs one unified estimation using pilot signals from all UEs simultaneously, thereby reducing the total number of estimation operations while maintaining accuracy through collective signal processing
Solution Approach 2:
The patent creates a universal estimation framework that handles channel states for multiple UEs using a single estimation algorithm. The method processes pilot signals from different UEs through a common mathematical model, making the estimation process multi-functional rather than requiring separate dedicated procedures for each UE
2Reliability
If channel states are estimated for all UEs, then detection performance is improved, but device complexity increases
Solution Approach 1:
The patent merges the detection processes for multiple UEs into a single unified detection operation. By combining pilot signals and performing joint channel estimation, the system achieves reliable detection for all UEs simultaneously without requiring separate complex detection chains for each user equipment
Solution Approach 2:
The receiver implements a universal detection mechanism that processes signals from multiple UEs through a single algorithmic framework. This multi-functional approach maintains high detection performance across all UEs while avoiding the proliferation of separate detection modules that would increase overall system complexity
3Measurement precision
If individual channel state estimation is performed for each UE, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The patent merges channel state estimation operations for multiple UEs into a single efficient process. By processing pilot signals from all UEs together in one estimation operation rather than sequentially, the system maintains measurement precision while significantly improving processing efficiency and overall productivity
Solution Approach 2:
The patent enables continuous and simultaneous processing of channel state estimation for multiple UEs. The joint estimation method allows the receiver to continuously extract channel state information from pilot signals of all UEs in parallel, eliminating the idle time and sequential processing delays that would reduce productivity
Data Source
AI summary
Embodiments herein provide a method of estimating channel states of a plurality of user equipments (UEs) in a single instance. The method includes receiving pilot samples from the plurality of UEs. The method includes selecting a predetermined number of tones, wherein the channel associated with each UE across the selected pre-determined number of tones is same. The method includes collecting the received pilot samples from each pilot symbol and stacking the received pilot samples as a vector. Further, the method includes constructing a matrix. The matrix includes known pilot values used by each UE. Furthermore, the method includes estimating channel states of the plurality of UEs by applying a filter on the vector formed from the received pilot samples. The number of channel states to be estimated is reduced by selecting the pre-determined number of tones.