EPDCCH Aggregation Level Ambiguity Resolution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The legacy physical downlink control channel (PDCCH) in 3GPP LTE systems faces limitations in capacity and beam forming diversity, leading to performance degradation due to aggregation level ambiguity and lowest ECCE ambiguity, which affects the efficient transmission and decoding of downlink control information.
Innovation Solution
The enhanced physical downlink control channel (EPDCCH) is configured to use the entire resource block or resource block pair, allowing for increased capacity and resolving ambiguity issues through aggregation level specific phase shifting, scrambling, and interleaving, enabling correct decoding of downlink control information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the legacy physical downlink control channel (PDCCH) is used in 3GPP LTE systems, then the control signaling can be transmitted, but the capacity is limited and performance degradation occurs due to aggregation level ambiguity and lowest ECCE ambiguity
Solution Approach 1:
The enhanced physical downlink control channel (EPDCCH) segments the control channel resources into enhanced control channel elements (ECCEs), which are further divided into enhanced resource element groups (EREGs). This segmentation allows for more granular resource allocation and resolves ambiguity by enabling specific aggregation levels to be assigned to different ECCE sets, thereby improving both capacity and decoding reliability.
Solution Approach 2:
The patent introduces a new dimension for control channel resource allocation by utilizing resource blocks (RBs) in the frequency-time domain for EPDCCH, rather than relying solely on the traditional time-frequency resources of PDCCH. This dimensional expansion allows for increased capacity and provides additional degrees of freedom for resolving aggregation level ambiguity through diverse resource mapping strategies.
2Quantity of substance
If the entire resource block or resource block pair is used for EPDCCH, then the capacity of control signaling is enhanced, but the device complexity increases due to aggregation level specific phase shifting, scrambling, and interleving
Solution Approach 1:
The patent applies preliminary actions by pre-configuring aggregation level specific phase shifting, scrambling sequences, and interleaving patterns before EPDCCH transmission. These pre-defined processing parameters are associated with specific aggregation levels, allowing the receiver to efficiently decode by selecting the appropriate preprocessing parameters without requiring complex real-time analysis, thus managing device complexity while maintaining enhanced capacity.
Solution Approach 2:
The patent utilizes parameter changes by varying phase shifting values, scrambling sequences, and interleaving patterns based on the aggregation level. Each aggregation level is assigned specific parameter sets, allowing the system to differentiate between multiple EPDCCH transmissions with the same resource allocation. This parameter differentiation resolves ambiguity while enabling the system to fully utilize the resource block capacity.
3Measurement precision
If aggregation level specific phase shifting, scrambling, and interleving are applied, then decoding accuracy is improved, but the loss of time increases due to multiple processing steps
Solution Approach 1:
The patent implements self-service mechanisms where the aggregation level specific processing parameters (phase shifting, scrambling, interleving) are designed to be self-identifiable at the receiver. The receiver can autonomously determine the correct aggregation level and corresponding processing parameters by detecting characteristics in the received signal, eliminating the need for extensive trial-and-error decoding. This self-identification capability maintains high decoding accuracy while minimizing processing time.
Solution Approach 2:
The patent replaces mechanical trial-and-error decoding approaches with a more efficient system based on pre-configured parameter sets. Instead of mechanically attempting multiple aggregation levels sequentially, the system uses substitutive methods where the correct aggregation level is identified through parameter matching, significantly reducing processing time while maintaining decoding accuracy through the use of aggregation level specific phase shifting, scrambling, and interleving.
Data Source
AI summary
Technology for a user equipment (UE) configured for blind decoding downlink control information (DCI) from an enhanced physical downlink control channel (EPDCCH) is disclosed. The UE can receive, from a base station, the EPDCCH that includes the DCI. The UE can attempt one or more times to decode the DCI from enhanced control channel elements (ECCE) of the EPDCCH from physical resource block (PRB) region candidates in a PRB set using a selected set of enhanced resource element group (EREG) index maps for the ECCE until the DCI is successfully decoded.


