RACH Resource Partitioning for 5G Feature Combinations
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Solution Overview
Problem
The 5G communication system faces challenges in efficiently providing RACH resource partitioning information for various feature combinations, leading to inefficiencies in load balancing and performance, as the network may not provide all possible combinations due to resource limitations and the complexity of supporting multiple feature combinations in a single cell.
Innovation Solution
A method is introduced to efficiently provide RACH resource partitioning by defining RACH-related parameters jointly applied to multiple feature combinations and exclusively to one combination, reducing signaling and processing loads, and allowing the UE to select the appropriate RACH-ConfigCommon based on target feature combinations and available configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the network provides RACH resources for each feature combination to achieve load balancing, then load balancing performance is improved, but the device complexity and signaling overhead increase due to the need to manage and provide information for multiple feature combinations
Solution Approach 1:
The patent applies universality by defining a unified RACH resource partitioning framework that serves multiple feature combinations simultaneously. The network configures RACH resources that can be universally applied across different feature combinations (such as different beamforming configurations, MIMO modes, or frequency bands) without requiring separate dedicated configurations for each combination, thereby reducing overall system complexity while maintaining load balancing capabilities.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting RACH resource allocation parameters based on the active feature combination. Instead of maintaining fixed separate configurations, the system modifies parameters such as RACH occasion timing, frequency resources, or preamble assignments according to the currently active feature combination, enabling flexible load balancing with reduced configuration overhead.
2Adaptability or versatility
If the network supports all possible feature combinations in a single cell, then adaptability is improved, but the device complexity and resource requirements increase
Solution Approach 1:
The patent applies segmentation by dividing the RACH resource pool into multiple segments or groups, where each segment is associated with specific feature combinations. This allows the network to support multiple feature combinations by organizing RACH resources in a structured manner, where UEs can select appropriate segments based on their active features, thereby achieving high adaptability without requiring a single monolithic complex configuration.
Solution Approach 2:
The patent implements dynamics by making RACH resource allocation adaptive and changeable based on the active feature combination. The system can dynamically activate or deactivate specific RACH configurations depending on which feature combinations are currently in use, allowing the network to support multiple features while maintaining manageable complexity by only actively configuring what is needed at any given time.
Data Source
AI summary
A Method and Apparatus to address problem of RACH resource partitioning. The method includes receiving SIB1 from the base station, determining an uplink for a random access procedure based on rsrpThresholdSSB-SUL, determining a first target feature combination, determining that the CE is applicable based on rsrp-ThresholdSSB-CE, determining a second target feature combination by adding CE in the first target feature combination, selecting a second RACH-ConfigCommon based on the comparison between the target feature combination and the one or more feature combinations associated with the one or more second RACH-ConfigCommons of the selected uplink and performing a random access procedure based on the selected second RACH-ConfigCommon.