CoMP Interference Noise Estimation via CSI-RS Muting

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Solution Overview

Problem

Current wireless communication systems face challenges in accurately estimating noise and interference in CoMP systems, which affects data transmission quality and reliability, especially in environments with multiple cooperating and non-cooperating transmitting stations.

Innovation Solution

The method involves generating a non-cooperating interference noise covariance matrix using channel-state information reference signals (CSI-RS) with coordinated muting of resource elements or indirectly using cell-specific reference signals and channel matrices, allowing for precise noise and interference estimation in CoMP systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional interference estimation methods are used in CoMP systems, then the system complexity is reduced, but the noise and interference estimation accuracy deteriorates

Engineering Contradiction:
Improvenoise and interference estimation accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The interference estimation process is segmented into distinct phases: muted resource element measurements for non-cooperating interference, and non-muted resource element measurements for cooperating interference. This segmentation allows separate estimation of different interference sources, improving overall accuracy without requiring complete system reconfiguration.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The method performs preliminary interference measurements during muted resource elements before actual data transmission. By pre-estimating the interference covariance matrix during muted periods, the system prepares accurate interference statistics in advance, which then informs the data detection process without adding real-time complexity.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If coordinated muting of resource elements is implemented, then the interference noise covariance matrix estimation accuracy is improved, but the resource utilization efficiency decreases

Engineering Contradiction:
Improveinterference noise covariance matrix estimation accuracyVSAvoidresource utilization efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system implements periodic coordinated muting of resource elements at specific intervals rather than continuous muting. During these periodic muted intervals, interference measurements are performed, while the rest of the time resources are fully utilized for data transmission. This periodic approach balances measurement accuracy with resource efficiency.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

Instead of muting all resource elements, the system applies partial muting only to specific resource elements that are most critical for interference measurement. This partial action provides sufficient interference estimation accuracy while minimizing the impact on overall resource utilization and system throughput.

Inventive Principle:
Principle #16Partial or excessive action

3Measurement precision

If separate estimation of cooperating and non-cooperating interference is performed, then the channel state information accuracy is improved, but the computational complexity increases

Engineering Contradiction:
Improvechannel state information accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The interference covariance matrix is segmented into two separate components: one for non-cooperating interferers and one for cooperating interferers. Each component is estimated using appropriately selected resource elements (muted for non-cooperating, non-muted for cooperating), allowing precise separate characterization of different interference sources.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary processing stage where received signals are separated into components corresponding to different interfering cells. By using intermediary variables to represent different interference sources, the computational complexity is managed through structured matrix operations rather than brute-force separation.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS9210592B2Coordinated multipoint (CoMP) interference noise estimation
Publication Date: 2015.12.08 RAKUTEN MOBILE INC
  • US9210592B2 patent drawing
  • US9210592B2 patent drawing
  • US9210592B2 patent drawing

AI summary

A noise and interference estimator and method for estimating noise and interference in a coordinated multipoint (CoMP) system at a mobile communication device is disclosed. The method comprises the operation of receiving a channel state information reference signal (CSI-RS) from a serving transmitting station at a user equipment (UE). Resource elements (REs) occupied by the CSI-RS of the serving transmitting station are muted on cooperating transmitting stations in the CoMP system. The operation of estimating a non-cooperating interference noise covariance matrix from the CSI-RS transmitted by the serving transmitting station follows.