Hierarchical Resource Block Allocation in Communication Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional communication systems face inefficiencies in resource allocation due to the need for mobile stations to continuously decode frequent control blocks, which requires excessive processing and is not power-efficient, and the use of four parameters to describe resource blocks, resulting in unnecessary data bits and space inefficiency.
Innovation Solution
The method involves dividing data frames into sub-frames with primary resource blocks that are further divided into secondary resource blocks, using a hierarchical information profile to determine the location of secondary resource blocks based on inner boundaries, reducing the need for redundant data and processing overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control blocks appear in high frequency (every downlink sub-frame), then resource allocation information is continuously updated and available, but mobile stations must continuously decode each control block which requires excessive processing and is not power-efficient
Solution Approach 1:
The control information is segmented into two types: control blocks that appear periodically (every n sub-frames) and control blocks that appear in every downlink sub-frame. This segmentation allows the system to provide continuous resource allocation information while reducing the decoding frequency for mobile stations, thereby lowering energy consumption while maintaining reliability.
2Measurement precision
If four parameters (x-axis starting point, y-axis starting point, block length, and block width) are used to describe resource blocks, then resource block locations are precisely defined, but unnecessary data bits are required and space efficiency is reduced
Solution Approach 1:
The patent extracts and removes redundant parameters from the control block description. Instead of using all four parameters (x-axis starting point, y-axis starting point, block length, and block width), the invention uses a reduced set of parameters that still suffice to define resource block locations, thereby reducing the quantity of data bits required while maintaining the necessary precision.
3Measurement precision
If mobile stations decode every control block to access resource blocks, then all resource block locations are accurately determined, but processing time and overhead are increased
Solution Approach 1:
The patent applies partial action by having mobile stations decode only the necessary control blocks rather than every control block. Control blocks appear every n sub-frames rather than every downlink sub-frame, which reduces the total number of decoding operations while still providing sufficient resource allocation information for accurate resource block location determination.
Data Source
AI summary
A method and apparatus for performing resource allocation in a communication system is provided. The method includes receiving a data frame including encapsulated data and a transmission opportunity, the data frame being divided into sub-frames which include primary resource blocks that are divided into secondary resource blocks storing the encapsulated data or the transmission opportunity, deconstructing the data frame to retrieve a portion of the encapsulated data or the transmission opportunity by determining a location of one of the sub-frames and one of the secondary resource block that included the portion of the encapsulated data or the transmission opportunity, wherein the location of the one secondary resource block is determined based on the inner boundaries.


