RLM and RSRP Measurement Subset Selection for LTE-A Interference
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless communication networks, especially in LTE-A systems, radio link failures due to interference from neighboring eNodeBs can lead to inaccurate radio link monitoring (RLM) and reference signal received power (RSRP) measurements, causing connectivity issues and suboptimal resource allocation.
Innovation Solution
The method involves receiving signals from an eNodeB indicating a subset of common reference signal (CRS) resources with lower interference levels for RLM and RSRP measurements, and using these resources to estimate radio link quality by determining the block error rate (BLER) of the physical downlink control channel (PDCCH) information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all CRS resources are used for RLM and RSRP measurements, then measurement coverage is maximized, but measurement accuracy deteriorates due to interference from neighboring eNodeBs
Solution Approach 1:
The patent segments the CRS resources by configuring different CRS power levels for different resource elements. Specifically, CRS resources associated with lower interfering eNodeBs are assigned lower power levels, while those associated with higher interfering eNodeBs are assigned higher power levels. This segmentation allows the UE to selectively measure only on the lower-power CRS resources, thereby improving measurement accuracy by avoiding high-interference resources.
Solution Approach 2:
The patent applies local quality by differentiating the properties of different CRS resources based on their interference characteristics. Each CRS resource element is assigned a specific power level according to its local interference environment. The UE is configured to perform measurements only on CRS resources with lower power levels (and thus lower interference), rather than treating all CRS resources uniformly. This localized optimization improves measurement precision in high-interference scenarios.
2Measurement precision
If CRS power levels are differentiated to reduce interference impact, then measurement accuracy improves, but system complexity increases due to additional configuration and signaling
Solution Approach 1:
The patent changes the power level parameter of CRS resources based on interference characteristics. By configuring different CRS power levels (e.g., differentiating between lower and higher power CRS resources), the system enables UEs to select appropriate measurement resources. This parameter differentiation is signaled through RRC configuration, which, while adding some complexity, provides a systematic and manageable approach to improving measurement accuracy in heterogeneous networks.
3Productivity
If resource partitioning is implemented to manage interference, then network performance improves, but resource allocation complexity increases
Solution Approach 1:
The patent segments the available CRS resources into different power level groups based on interference characteristics from neighboring eNodeBs. This segmentation is configured through RRC signaling, which provides a structured approach to resource partitioning. The UE then performs measurements only on the appropriate segment (lower power CRS resources), improving network performance by reducing interference impact while maintaining manageable complexity through standardized configuration procedures.
Data Source
AI summary
A method for communicating in an advanced long term evolution (LTE-A) network using common reference signal (CRS) resources associated with different interference levels due to resource partitioning is disclosed. Signals are received from an eNodeB indicating a subset of CRS resources for radio link monitoring (RLM) and/or reference signal received power (RSRP) measuring. The subset of CRS resources includes the CRS resources expected to have lower interference from the interfering eNodeBs. RLM and/or RSRP measurements are performed based on the indicated subset.