Physical Resource Scheduling for Idle Frequency Sub-Band Utilization
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Solution Overview
Problem
The challenge of efficiently utilizing carrier resources in wireless communication systems, particularly in unlicensed frequency bands, is exacerbated by the conservative access mechanisms that lead to wasted resources and low spectrum utilization due to undefined interference levels, which affect the quality of service in LTE transmissions.
Innovation Solution
A method for processing physical resources that involves determining scheduled physical resource blocks based on carrier sensing results of frequency sub-bands and indication information, allowing for more efficient utilization of idle resources through interleaved or non-interleaved scheduling of physical resource blocks, thereby reducing bit error rates and optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If carrier sensing is performed over the entire carrier bandwidth, then interference detection is comprehensive, but resource utilization is reduced due to conservative access
Solution Approach 1:
The carrier bandwidth is divided into multiple frequency sub-bands, each performing independent carrier sensing. This segmentation allows the system to identify idle resources more precisely without being overly conservative, thereby improving both detection accuracy and spectrum utilization efficiency.
2Productivity
If frequency sub-bands perform carrier sensing independently, then idle resource utilization is improved, but resource scheduling complexity increases
Solution Approach 1:
The scheduling decisions from multiple frequency sub-bands are merged into a unified resource allocation process. The eNodeB consolidates sensing results and scheduling information across sub-bands, managing complexity through centralized coordination while maintaining the benefits of independent sensing.
3Productivity
If PRBs are scheduled based on carrier sensing results, then spectrum utilization is optimized, but bit error rate increases due to undefined interference levels
Solution Approach 1:
The system incorporates feedback mechanisms where the eNodeB receives carrier sensing results from frequency sub-bands and uses this information to make informed scheduling decisions. This feedback loop allows the system to optimize spectrum utilization while managing interference through adaptive resource allocation based on actual channel conditions.
Data Source
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AI summary
The present application provides a method for processing a physical resource, a user equipment, and a base station. The method for processing a physical resource includes the following steps: determining scheduled physical resource blocks (PRB) based on indication information of carrier sensing result of at least one received frequency sub-band and indication information of physical resource blocks; and receiving data on the scheduled PRBs.