Adaptive Differential Encoding for 5G Measurement Reporting
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Solution Overview
Problem
Existing differential encoding schemes for RSRP or SINR feedback in 5G wireless communication networks are inefficient in reducing bit overhead or improving resolution, especially when reporting multiple beams.
Innovation Solution
An adaptive encoding/decoding scheme that reports the maximum and minimum values first, allowing the base station to generate a reduced feedback codebook based on the range of values, thereby reducing the number of feedback bits or increasing the resolution of reported values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If differential encoding is used to report RSRP measurement values, then the bit overhead of reporting is reduced, but the resolution of reported values deteriorates
Solution Approach 1:
The patent applies dynamics by making the codebook adaptive rather than fixed. The base station dynamically selects from multiple codebooks based on the reported minimum RSRP value, allowing the system to adjust the resolution and bit allocation according to actual channel conditions. This resolves the contradiction by enabling high resolution when needed (low minimum RSRP) and efficient compression when possible (high minimum RSRP).
Solution Approach 2:
The patent changes parameters by introducing multiple codebooks with different resolutions and bit allocations. Instead of using a single fixed codebook, the system varies the codebook parameters (resolution, number of bits) based on the minimum RSRP value in the reported set. This allows optimization of both bit overhead and resolution by matching the codebook characteristics to the actual measurement range.
2Ease of operation
If a fixed codebook is used for differential encoding, then the encoding process is simple, but the efficiency of bit reduction deteriorates when measurement values have large range
Solution Approach 1:
The system transitions from a static fixed codebook to a dynamic adaptive codebook selection mechanism. The base station determines the appropriate codebook based on the minimum RSRP value, creating a dynamic adaptation that maintains encoding simplicity through automated selection while significantly improving bit reduction efficiency for various measurement ranges.
Solution Approach 2:
The patent segments the measurement reporting space by creating multiple codebooks tailored to different RSRP ranges. Each codebook is optimized for specific measurement conditions, allowing the system to segment the problem into manageable parts where each segment (codebook) handles a specific range efficiently, thus improving overall bit reduction efficiency.
3Measurement precision
If more bits are allocated for reporting RSRP values, then the resolution of measurement reporting is improved, but the feedback overhead increases
Solution Approach 1:
The patent changes the parameter of bit allocation by using multiple codebooks with different bit allocations. Instead of always using high-bit allocation for high resolution, the system selectively applies different bit allocations based on the minimum RSRP value, achieving high resolution only when necessary and reducing overhead when lower resolution suffices.
Solution Approach 2:
The system dynamically adjusts the number of bits used for reporting based on the actual measurement conditions. By adapting the codebook selection to the minimum RSRP value, the system achieves variable resolution that matches the actual needs, preventing unnecessary overhead while maintaining required precision.
Data Source
AI summary
Differential Measurement Reporting is performed by a user equipment (UE) in a communication system. The user equipment (UE) includes a transceiver configured to receive quantities representing the quality of the transmission of the communication system to be reported and to measure the quantities to be reported. If more than two measured quality values are to be reported and are within a value set of a predefined codebook of differential values, fewer feedback bits, which are used for representing the measured quality values, are sent from the user equipment (UE), or an increase in resolution of the reported values occurs while maintaining the same number of feedback bits.