Random Access Resource Selection for Wireless Load Management
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Solution Overview
Problem
Wireless communication systems face delays and increased random access load due to inefficient management of random access resources, particularly in multiple carrier environments, where user equipment (UE) struggles to identify and utilize available resources effectively.
Innovation Solution
A method and apparatus that allow user equipment (UE) to access a system information block to identify the number of available random access resources, which are dynamically configured based on load and delay data, enabling random or uniform assignment to minimize delay and load by adjusting the number of available resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the number of random access resources is increased to reduce delay, then the random access load increases, but if the number is decreased to reduce load, then delay increases
Solution Approach 1:
The patent implements dynamic configuration of random access resources where the base station adjusts the number of available PRACH resources based on real-time network conditions, UE priority, and traffic patterns. This dynamic adjustment allows the system to optimize the balance between access delay and load by increasing resources for high-priority or time-sensitive UEs while maintaining lower resource allocation for standard traffic, thereby resolving the contradiction between reducing delay and controlling load
2Ease of operation
If random access resources are allocated uniformly to all UEs, then resource management is simplified, but efficiency decreases when network conditions vary
Solution Approach 1:
The patent applies local quality by differentiating resource allocation based on specific UE characteristics and network conditions. Different UEs receive different numbers of random access resources based on their priority levels, service requirements, and current network state. This non-uniform allocation optimizes access efficiency for each UE group while maintaining manageable complexity through standardized allocation rules for different scenarios
3Productivity
If the base station manages all random access resource allocation centrally, then resource optimization is improved, but system complexity increases
Solution Approach 1:
The patent implements partial centralization where the base station performs centralized resource allocation for specific high-priority UEs or critical services, while allowing more autonomous or simplified allocation for standard traffic. This partial approach achieves resource optimization where it matters most without implementing complex centralized control across all scenarios, thereby balancing optimization benefits with system complexity
Data Source
AI summary
Systems and methodologies are described that facilitates managing assignment of available random access resources in order to minimize delay and random access load. A number of available random access resources can be defined by a network or a base station, wherein a user equipment can access the number of available random access resources via an information block. The user equipment can be randomly assigned or uniformly assigned to at least one of the number of available random access resources. Additionally, the network can adjust the defined number of available random access resources based upon reported delay, base station load, or historic load data for a base station.