UHR ELR Payload Configuration for 1Mbps 20MHz Transmission
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Solution Overview
Problem
Existing wireless communication technologies face inefficiencies in achieving reliable and efficient data transmission at 1Mbps over a 20MHz channel, particularly due to limitations in payload structure design and repetition schemes, leading to increased on-air time and complexity.
Innovation Solution
The proposed solution involves optimizing parameters such as symbol periodicity, RU size, number of tones, code rate, and CP size to improve payload structure efficiency, utilizing techniques like cyclic shifting, distributed RUs, and new code rates to achieve a target data rate of 1Mbps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional payload structure design is used for 1Mbps transmission over 20MHz channel, then compatibility with legacy standards is maintained, but data transmission efficiency is poor and on-air time is increased
Solution Approach 1:
The patent applies parameter changes by modifying the payload structure configuration including setting N=4 (number of repeated symbols), configuring RU sizes (26, 52, or 106 subcarriers), selecting appropriate code rates (1/2, 2/3, or 3/4), and choosing cyclic prefix lengths (1.6μs or 3.2μs). These parameter optimizations enable achieving approximately 1Mbps data rate while reducing on-air time compared to legacy designs, as the optimized payload structure transmits useful information more efficiently over the 20MHz channel.
2Reliability
If repetition schemes are used to achieve reliable data transmission, then reliability is improved, but complexity of the transmission system increases
Solution Approach 1:
The patent applies segmentation by dividing the 20MHz channel into Resource Units (RUs) with different sizes (26, 52, or 106 subcarriers). This segmentation allows the system to distribute repeated symbols across multiple RUs, achieving reliability through diversity while managing complexity through structured organization. The segmented approach enables selective repetition strategies across different frequency resources rather than uniform repetition across the entire channel.
Solution Approach 2:
The patent implements periodic action through the repetition of OFDM symbols N times (where N=4) within the payload structure. This periodic repetition enhances reliability by providing multiple opportunities for successful packet reception and decoding. The cyclic shifting applied to repeated symbols further supports this periodic structure while preventing harmful periodicity, managing the complexity through regular, predictable patterns rather than ad-hoc repetition schemes.
3Manufacturing precision
If symbol repetition is applied to achieve target data rate, then data rate accuracy is improved, but symbol periodicity issues arise
Solution Approach 1:
The patent applies asymmetry through cyclic shifting of repeated symbols, where each repeated symbol is shifted by a different amount (e.g., first symbol shifted by 0 samples, second symbol shifted by 1 sample, third symbol shifted by 2 samples, fourth symbol shifted by 3 samples). This asymmetric treatment of otherwise identical repeated symbols breaks the harmful periodicity while maintaining the beneficial repetition for reliability and data rate control. The asymmetric shifting prevents the receiver from detecting periodic patterns that could cause decoding failures.
4Power
If legacy payload structure is used, then implementation simplicity is maintained, but transmit power efficiency is reduced
Solution Approach 1:
The patent applies universality by designing a payload structure that can accommodate multiple RU sizes (26, 52, or 106 subcarriers) and different code rates (1/2, 2/3, or 3/4) within a single unified framework. This multi-functional design allows the system to optimize transmit power efficiency for different channel conditions and data rate requirements without requiring separate payload structures for each scenario. The unified structure simplifies implementation compared to having multiple specialized structures, while enabling efficient power utilization through adaptive configuration.
Data Source
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AI summary
A system (2000) for wireless communications over one or more channels, may include one or more processors (2010) and memory (2060) coupled with the one or more processors (2010). The one or more processors (2010) may identify, based at least on a target data rate and a frequency bandwidth of a channel among the one or more channels, (1) a number of resource units, Rus, within the frequency bandwidth and (2) a number of tones per RU to achieve the target data rate. The one or more processors (2010) may transmit, via a transmitter (120), data using one or more RUs.