Beam Direction Contention Window Size Determination in NR Massive MIMO
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Solution Overview
Problem
In wireless communication systems, particularly in NR systems using massive MIMO technology, the interference situations vary by beam direction, necessitating a more accurate method to determine the Contention Window Size (CWS) that accounts for beam direction, as conventional methods do not adequately reflect interference in specific beam directions.
Innovation Solution
A method where a node performs energy detection in specific time subpools corresponding to a reference subframe, considering multiantenna configurations such as antenna port groups and beamforming vectors to determine an optimal CWS for each beam direction, ensuring accurate interference assessment and reducing implementation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional LBT methods are used without considering beam direction, then the implementation complexity is low, but the interference assessment accuracy is insufficient
Solution Approach 1:
The patent segments the interference assessment process by introducing beam direction as a segmentation dimension. Different CWS values are determined for different beam directions based on interference measurements taken in corresponding directional time subpools. This segmentation enables accurate interference assessment per beam direction while maintaining manageable complexity through structured measurement and determination processes.
Solution Approach 2:
The patent applies local quality by determining CWS values locally for each beam direction rather than using a uniform approach. The interference measurement and CWS determination are performed specifically for the local beam direction context, allowing the system to adapt CWS settings to the actual interference conditions in each directional sector, thereby improving overall assessment accuracy.
2Loss of information
If multiple reference subframes are used for CWS determination, then the interference information coverage is improved, but the processing complexity increases
Solution Approach 1:
The patent extracts only the necessary reference subframes needed for accurate CWS determination in each beam direction. Rather than processing all available reference subframes, the method identifies and extracts the specific subset of reference subframes that are most relevant for the current beam direction and interference conditions, thereby reducing processing complexity while maintaining comprehensive interference information coverage.
Solution Approach 2:
The patent performs preliminary identification and selection of reference subframes before the actual CWS determination process. By pre-selecting the relevant reference subframes based on beam direction and interference measurement requirements, the system prepares the necessary data in advance, which streamlines the subsequent CWS calculation and reduces overall processing complexity.
3Productivity
If beam direction-specific CWS determination is implemented, then the communication efficiency is improved, but the system complexity increases
Solution Approach 1:
The patent introduces dynamics by making CWS values adaptive to beam direction and interference conditions. The system dynamically determines appropriate CWS values for each beam direction based on real-time interference measurements, rather than using static or uniform CWS settings. This dynamic adaptation improves communication efficiency by optimizing contention window parameters to actual channel conditions while maintaining manageable system complexity through structured measurement and determination procedures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for an optimal CWS configuration that accurately reflects interference in the beam direction, enhancing communication efficiency and reducing complexity by using a common multiantenna configuration for all beam directions, ensuring accurate interference information and reasonable contention window settings.
Implementation Method 1
performing Q time(s) of energy detection(s) in Q time subpool(s) on a first frequency subband respectively to obtain Q detection value(s)
Data Source
AI summary
The disclosure provides a method and a device in a User Equipment (UE) and a base station for wireless communication. A first node receives T first-type radio signals, and transmits T second-type radio signals in T time windows respectively; and the first node performs Q time(s) of energy detection(s) in Q time subpool(s) on a first frequency subband respectively to obtain Q detection value(s). The T second-type radio signals are one-to-one corresponding to the T first-type radio signals; only T1 first-type radio signal(s) among the T first-type radio signals is(are) used for determining the Q; the T is a positive integer greater than 1, the Q is a positive integer, and the T1 is a positive integer less than the T; the T1 first-type radio signal(s) consist(s) of all of the first-type radio signals among the T first-type radio signals that are associated to a first antenna port set.