Transmission method and equipment for downside control information
A technology for controlling information and transmission methods, which is applied in the field of communication and can solve problems such as lack of transmission and configuration schemes for E-PDCCH
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0157] For localized E-PDCCH resources, the number of candidate E_PDCCH channels with aggregation levels {1, 2, 4, 8} in each E-PDCCH cluster is {2, 2, 2, 1}, if localized E-PDCCH The number of E-PDCCH clusters contained in the resource is 2, then the total number of blind detection times is calculated as follows:
[0158] The number of blind detections required in each E-PDCCH cluster is (2+2+2+1)*2=14, where the last 2 indicates that two DCI formats need to be blindly detected in one E-PDCCH candidate channel.
[0159] The number of E-PDCCH clusters is 2.
[0160] The total number of times of blind detection is 14*2=28.
Embodiment 2
[0162] For distributed E-PDCCH resources, the number of candidate E_PDCCH channels with aggregation levels {1, 2, 4, 8} is {6, 6, 2, 2}, then the total number of blind detection times is (6+6+ 2+2)*2=32, where the last 2 indicates that two DCI formats need to be blindly detected in one E-PDCCH candidate channel.
[0163] For method 2, the search space of the localized E-PDCCH resource and the search space of the distributed E-PDCCH resource share the maximum number of blind detection times of the PDCCH, which requires a reasonable allocation of the respective search spaces of the localized E-PDCCH resource and the distributed E-PDCCH resource The number of PDCCH blind detection times in .
Embodiment 3
[0165] Two E-PDCCH clusters are configured in the localized E-PDCCH resource, and the number of candidate E_PDCCH channels with aggregation levels {1, 2, 4, 8} in each E-PDCCH cluster is {2, 2, 0, 0} , in the distributed E-PDCCH resources, the number of candidate E_PDCCH channels with aggregation levels {1, 2, 4, 8} is {2, 2, 2, 2}. Then the calculation process of the total number of blind detection times is as follows.
[0166] Blind detection times in Localized E-PDCCH resources:
[0167] The number of blind detections required in each E-PDCCH cluster is (2+2+0+0)*2=8, where the last 2 indicates that two DCI formats need to be blindly detected in one E-PDCCH candidate channel.
[0168] The number of E-PDCCH clusters is 2.
[0169] Therefore, the number of times of blind detection in the Localized E-PDCCH resource is 8*2=16.
[0170] Number of blind detections in Distributed E-PDCCH resources:
[0171] It is (2+2+2+2)*2=16, where the last 2 indicates that two DCI formats ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com