Radio Node Frequency Resource Allocation for SINR Reduction
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Solution Overview
Problem
Conventional wireless communication systems face challenges with high Signal to Noise and Interference Ratio (SINR) requirements and significant interference variances due to traditional resource allocation methods prioritizing high spectral efficiency, leading to inefficient use of frequency resources and unpredictable interference profiles.
Innovation Solution
A method and radio node that estimate frequency resource utilization in scheduling intervals, comparing it to a threshold, and increasing resource allocation to reduce SINR requirements by adjusting modulation and code rates, thereby utilizing all available frequency resources for more efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high spectral efficiency scheduling is used to maximize data transmission, then the amount of data transmitted per Hz increases, but the SINR requirement becomes strict and frequency resource utilization becomes inefficient
Solution Approach 1:
The patent applies dynamics by making the frequency resource allocation flexible and adaptive based on current system conditions. The base station dynamically adjusts the frequency resources allocated to each UE according to channel conditions, traffic load, and interference levels, rather than using fixed high spectral efficiency allocations. This dynamic approach allows the system to optimize between spectral efficiency and SINR requirements in real-time.
Solution Approach 2:
The patent changes the parameter of frequency resource allocation from optimized for spectral efficiency to optimized for reducing SINR requirements. By adjusting the amount and distribution of frequency resources allocated to UEs, the system modifies the interference profile and SINR conditions, enabling more reliable transmissions while maintaining acceptable throughput.
2Productivity
If frequency resources are allocated to maximize spectral efficiency, then fewer resource blocks are used per UE, but the inter-cell interference varies significantly and becomes unpredictable
Solution Approach 1:
The patent applies homogeneity by creating a more uniform distribution of transmissions across frequency resources. Instead of concentrating transmissions in fewer resource blocks to maximize spectral efficiency, the system spreads transmissions more evenly across available frequency resources. This homogeneous distribution smooths the interference profile across cells, making interference more predictable and stable.
Solution Approach 2:
The patent merges the resource allocation decisions of multiple UEs to achieve a more uniform overall resource utilization. By coordinating allocations across different UEs and cells, the system combines transmissions in a way that fills gaps in frequency usage, reducing the variability of interference patterns and creating a more stable interference environment.
3Productivity
If high order Modulation and Coding Scheme (MCS) is used to increase spectral efficiency, then more data bits are transmitted per resource, but the SINR requirement becomes stricter
Solution Approach 1:
The patent applies dynamics by making the MCS selection adaptive to current SINR conditions and frequency resource allocations. Rather than always selecting the highest order MCS to maximize spectral efficiency, the system dynamically adjusts MCS based on actual channel conditions and the resulting SINR, ensuring reliable decoding while maintaining high throughput when conditions permit.
Solution Approach 2:
The patent changes the MCS parameters (modulation order and coding rate) based on the frequency resource allocation strategy. By adjusting these parameters according to the allocated frequency resources and resulting SINR conditions, the system optimizes the trade-off between data transmission rate and decoding reliability.
Data Source
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Figure 2b~3a
Figure 3b
AI summary
The present invention relates to a radio node, and to a related method of reducing a signal to noise and interference ratio requirement for a transmission in a scheduling interval. The method comprises estimating (410) a frequency resource utilization in the scheduling interval, comparing (420) the estimated frequency resource utilization with a first threshold. When the estimated frequency resource utilization is equal to or below the first threshold, the method further comprises increasing (430) the frequency resource utilization for the transmission, and adjusting (431) a link adaptation for the transmission based on the increased frequency resource utilization. Optionally, the method further comprises decreasing (450) the transmit power for the scheduling interval based on the adjusted link adaptation.