Wireless Resource Unit Allocation for OFDMA Throughput
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Solution Overview
Problem
In high-density wireless communication environments, the existing IEEE 802.11 standards face challenges in optimizing Modulation and Coding Schemes (MCS) for single-user Orthogonal Frequency Division Multiple Access (OFDMA) due to the dominance of the worst signal-to-noise ratio (SNR) in the frequency domain, which affects communication quality.
Innovation Solution
The method involves allocating different resource units (RUs) with distinct Modulation and Coding Schemes (MCS) based on the channel conditions, allowing for flexible allocation of RUs and streams with varying MCS across different frequency bands to improve communication efficiency, even in multi-user scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If one RU allocation is performed with a single MCS dominated by the worst SNR, then device complexity is reduced, but communication quality deteriorates
Solution Approach 1:
The patent segments the frequency domain into multiple RUs and applies different MCS indices to different RUs based on their respective SNR conditions. This allows each RU to be optimized independently rather than using a single MCS for the entire bandwidth, resolving the contradiction between complexity and communication quality.
Solution Approach 2:
The patent implements local quality optimization by selecting MCS indices tailored to the SNR conditions of each specific RU. Instead of using a uniform MCS across all frequencies, the system adapts the modulation and coding scheme to match the local channel conditions in each frequency segment, thereby improving overall communication quality without excessive complexity.
2Reliability
If different MCS are allocated to different RUs based on channel conditions, then communication quality is improved, but device complexity increases
Solution Approach 1:
The patent introduces dynamic MCS allocation where the MCS index for each RU is selected based on real-time SNR measurements and channel conditions. This dynamic adaptation allows the system to optimize communication quality according to varying channel states while maintaining manageable complexity through systematic selection criteria.
Solution Approach 2:
The patent changes the MCS parameter (modulation order and coding rate) based on the SNR parameter of each RU. By systematically varying these parameters according to measured channel conditions, the system achieves improved communication quality without requiring overly complex allocation mechanisms.
3Productivity
If wider channel bandwidths are used, then throughput is enhanced, but the impact of worst SNR on communication quality is amplified
Solution Approach 1:
The patent divides the wide channel bandwidth into multiple narrower RUs, each experiencing different SNR conditions. This segmentation prevents the worst SNR from dominating the entire bandwidth, allowing the system to utilize wide bandwidth for high throughput while maintaining communication quality through localized MCS optimization in each RU.
Solution Approach 2:
By applying local quality optimization to each RU within the wide bandwidth, the patent ensures that poor SNR conditions in one frequency segment do not degrade the overall communication quality. Each RU can be optimized independently, allowing the system to exploit wide bandwidth for high throughput while maintaining robust communication across all frequency segments.
Data Source
AI summary
A wireless communicating method includes: performing one resource unit allocation upon a channel; and allocating a first resource unit and a second resource unit in said one resource unit allocation to a station, wherein the first resource unit is different from the second resource unit. By using the wireless communication method, throughput rate can be improved.