Blind Decoding Search Space Candidate Configuration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In future LTE-A systems, the increasing number of users leads to a capacity shortage in downlink control channels, threatening the optimization of radio resource allocation, particularly in MU-MIMO transmission, due to insufficient radio resource allocation for downlink control information.
Innovation Solution
A blind decoding method is introduced where the radio base station reports configuration information for search space candidates to user terminals, allowing them to decode downlink control information effectively, even when the radio resource region is expanded by frequency-division-multiplexing downlink control channels with shared data channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the radio resource region for downlink control channels is expanded to accommodate more users, then the capacity of downlink control channels is improved, but the complexity of configuring search space candidates for blind decoding increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the number of search space candidates based on the expanded radio resource region. When the downlink control channel region is expanded to serve more users, the system modifies the candidate count parameter to match the new capacity requirements, thereby resolving the contradiction between increased capacity and configuration complexity
Solution Approach 2:
The patent implements dynamics by making the search space candidate configuration adaptive rather than static. The base station dynamically configures the number of candidates according to the actual radio resource allocation, allowing the system to flexibly respond to varying user demands while maintaining optimal blind decoding performance
2Productivity
If the number of search space candidates is increased to utilize the expanded radio resource region, then more downlink control information can be transmitted, but the blind decoding complexity at the user terminal increases
Solution Approach 1:
The patent applies local quality by differentiating the search space candidate configuration for different control channel regions. Instead of uniformly increasing candidates across all regions, the system optimizes candidate distribution locally within each control channel region, allowing efficient DCI transmission while managing terminal complexity through localized optimization
3Device complexity
If conventional radio resource allocation methods are used, then system simplicity is maintained, but optimization of MU-MIMO transmission characteristics fails
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple search space candidate sets that are optimized for different MU-MIMO scenarios. Before actual MU-MIMO transmission occurs, the base station prepares appropriate candidate configurations, enabling rapid adaptation to MU-MIMO requirements without fundamentally changing the overall resource allocation framework
Data Source
AI summary
The blind decoding method disclosed herein is a blind decoding method to allow a user terminal to blind-decode downlink control information that is transmitted from a radio base station using at least one of a legacy PDCCH and an enhanced PDCCH that is frequency-division-multiplexed with a PDSCH, and includes the steps in which the radio base station reports information for configuring a number of candidates, which information is used to configure numbers of search space candidates for the legacy PDCCH and numbers of search space candidates for the enhanced PDCCH, to the user terminal, and the user terminal blind-decodes the downlink control information based on the numbers of search space candidates for the legacy PDCCH and the numbers of search space candidates for the enhanced PDCCH that are configured based on the candidate quantity configuration information.