Bandwidth Part Selection for Random Access Capacity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In heavy load scenarios, the increased number of user equipment (UEs) competing for random access in 5G networks leads to a higher probability of random access failures due to limited PRACH resource capacity, causing access failures.
Innovation Solution
The method involves selecting a first bandwidth part (BWP) from multiple configured BWPs and determining a corresponding physical random access channel (PRACH) resource, allowing the UE to transmit a random access preamble on the selected BWP, thereby alleviating PRACH resource capacity limitations and improving random access success rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple UEs access the network through a single initial BWP in heavy load scenarios, then the network can accommodate more users, but the random access failure rate increases due to limited PRACH resource capacity
Solution Approach 1:
The patent divides the initial BWP into multiple sub-BWPs, each with dedicated PRACH resources. This segmentation allows UEs to be distributed across different sub-BWPs, reducing contention on any single PRACH resource and improving random access success rates while accommodating more users overall.
Solution Approach 2:
The patent introduces an additional dimension by creating multiple sub-BWPs within the initial BWP structure. This dimensional expansion provides more PRACH resource options for UEs, transforming the single-resource bottleneck into a multi-resource system that can handle heavier loads with improved reliability.
2Device complexity
If a single initial BWP is used for random access, then the system configuration is simple, but the PRACH resource capacity is limited and cannot handle heavy load scenarios
Solution Approach 1:
The initial BWP is segmented into multiple sub-BWPs, each containing dedicated PRACH resources. This segmentation increases random access capacity to handle heavy loads while maintaining relatively simple configuration through standardized sub-BWP structures and UE-based selection mechanisms.
Solution Approach 2:
UEs autonomously select appropriate sub-BWPs based on pre-configured criteria and measurements, eliminating the need for complex network-controlled BWP management. This self-service approach increases access capacity while keeping system complexity manageable through distributed decision-making.
Data Source
AI summary
A random access method and a related apparatus are provided in implementations of the present disclosure and are applicable to a user equipment (UE). The method includes the following. A first bandwidth part (BWP) is selected from multiple BWPs, where the multiple BWPs are configured by a network device. A first physical random access channel (PRACH) resource corresponding to a first synchronization signal block (SSB) is determined. A random access preamble is transmitted on the first BWP based on the first PRACH resource.


