Preamble Matrix for Wireless Random Access Capacity
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently utilizing network resources, particularly in generating and managing random-access preambles, which can lead to PRACH capacity shortfalls, interference, and range limitations.
Innovation Solution
The proposed solution involves generating a preamble matrix with a plurality of entries, where at least a subset indicates random-access preambles, and encoding this matrix into a sequence. This sequence is then transmitted to user devices, which decode it to generate random-access preambles for communication with network elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional random-access preamble generation methods are used, then the system is simple to implement, but the PRACH capacity is limited and interference occurs
Solution Approach 1:
The patent segments the random-access preamble space by dividing it into multiple subsets, each associated with different contention levels. This segmentation allows the system to handle different types of access requests (contention-based and contention-free) separately, thereby increasing overall PRACH capacity and reducing interference between different access types.
Solution Approach 2:
The patent introduces a new dimension to preamble management by associating preambles with specific contention levels and access types. This dimensional organization transforms the traditional flat preamble space into a multi-dimensional structure, enabling more efficient resource allocation and capacity management without proportionally increasing system complexity.
2Productivity
If more random-access preambles are generated to increase capacity, then the PRACH capacity improves, but interference and range limitations worsen
Solution Approach 1:
The patent applies local quality by assigning different characteristics to different preamble subsets based on their intended use. Contention-free preambles are allocated with specific properties for dedicated access, while contention-based preambles have different properties for shared access. This localized differentiation reduces interference by ensuring that preambles with similar characteristics are used in appropriate contexts.
Solution Approach 2:
The patent converts the potential harm of having many preambles (which could cause interference) into a benefit by organizing them into structured subsets with specific allocation rules. The large preamble space is transformed from a source of interference into a structured resource that can be efficiently managed, where the diversity of preambles serves to reduce collision probability while maintaining low interference through proper subset selection.
3Loss of information
If the preamble matrix is encoded into a sequence for transmission, then the information transmission efficiency improves, but the decoding complexity at user devices increases
Solution Approach 1:
The patent uses copying by transmitting an encoded representation (sequence) of the preamble matrix rather than the full matrix itself. This encoded sequence serves as a compact copy that contains all necessary information for reconstructing the preamble assignments at the user device, thereby improving transmission efficiency while keeping the decoding process manageable through the use of standardized decoding algorithms.
Data Source
AI summary
Disclosed is a method comprising generating a preamble matrix comprising a plurality of entries, wherein at least a subset of the plurality of entries indicate random-access preambles; obtaining a sequence encoded with the preamble matrix; and transmitting the sequence to one or more user devices.