Sub-RB Resource Scheduling for Small Data Efficiency
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Solution Overview
Problem
The existing LTE technology has low resource utilization efficiency for small data services due to the large number of M2M devices transmitting small amounts of data, resulting in low spectral efficiency and meaningful only under extremely low signal-to-noise ratios, with spectral efficiency loss becoming more severe as channel conditions improve.
Innovation Solution
A resource scheduling method and apparatus that pre-divides resource blocks into sub-RBs using time, frequency, code, and space division, and sends a resource scheduling indication to user equipment to perform data transmission in corresponding sub-RBs, improving resource utilization and transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a resource block (RB) is used as the minimum scheduling unit for small data services, then the transmission can be performed using existing LTE infrastructure, but the resource utilization efficiency becomes very low due to the large overhead relative to the small data amount
Solution Approach 1:
The resource block (RB) is divided into multiple sub-RBs (e.g., 4 sub-RBs per RB), allowing the scheduler to allocate only the necessary portion for small data transmissions. This segmentation enables fine-grained resource allocation, improving resource utilization efficiency while maintaining compatibility with existing LTE infrastructure that operates at the RB level.
2Ease of operation
If a resource block (RB) is allocated for small data transmission, then the transmission can proceed with standard LTE protocols, but the spectral efficiency becomes extremely low (about 0.14) due to the large overhead of control symbols and reference signals
Solution Approach 1:
By segmenting the RB into sub-RBs and allocating only the necessary sub-RBs for small data, the overhead from control symbols and reference signals is effectively reduced. The spectral efficiency loss is minimized because the overhead is amortized over fewer allocated resources, thereby improving overall spectral efficiency while继续使用标准LTE协议.
Solution Approach 2:
Different portions of the RB are treated differently: some sub-RBs are allocated for data transmission while others remain unused or are used for other purposes. This local quality differentiation allows the system to optimize spectral efficiency by concentrating resources where they are most needed for small data services.
3Device complexity
If a resource block (RB) is used for small data services, then the transmission can be performed with simple scheduling, but the resource utilization is only meaningful under extremely low signal-to-noise ratio conditions
Solution Approach 1:
The scheduling mechanism becomes dynamic by allowing flexible allocation of sub-RBs based on channel conditions and traffic requirements. When channel conditions are good, more sub-RBs can be allocated to improve spectral efficiency; when conditions are poor, fewer sub-RBs are allocated but with sufficient margin to maintain reliability. This dynamic adaptation extends effective communication range across varying SNR conditions.
Data Source
AI summary
Resource scheduling includes pre-dividing a resource block RB into a plurality of sub-RBs and scheduling a UE by using a resource scheduling indication during data transmission to perform data receiving or sending in a position of a corresponding sub-RB. The resource block RB is pre-divided into a plurality of sub-RBs and during data transmission the UE is scheduled by using the resource scheduling indication to perform data receiving or sending in the position of the corresponding sub-RB, thereby improving resource utilization efficiency during transmission of a small data service and improving transmission efficiency of small data.