Resource Unit Aggregation Tone Configuration for Non-Contiguous Spectrum
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Solution Overview
Problem
In wireless communication systems, particularly those conforming to IEEE 802.11 standards, there is a challenge in discovering contiguous idle channels for high efficiency (HE) or extremely high throughput (EHT) operations due to overlapping data traffic from incumbent technologies like LTE and 5G systems, leading to reduced signaling throughput and wasted frequency resources.
Innovation Solution
The system divides the available frequency spectrum into multiple resource units (RUs), determines a tone configuration parameter for aggregating these RUs, and adjusts parameters such as tone mapping distance and pilot tone locations to enhance signaling throughput by distributing coded bits across noncontiguous bandwidth segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple RUs are aggregated across noncontiguous bandwidth segments, then spectral efficiency and signaling capability are enhanced, but tone configuration complexity and parameter determination difficulty increase
Solution Approach 1:
The available frequency spectrum is divided into multiple resource units (RUs) that can be aggregated across noncontiguous bandwidth segments. Each RU is independently configured with tone mappings and pilot patterns, allowing flexible aggregation while maintaining manageable configuration complexity through modular segment handling.
Solution Approach 2:
The system dynamically determines tone configuration parameters based on the specific RU aggregation pattern. The tone mapping distance and pilot tone locations are adaptively selected according to the aggregated RU configuration, enabling optimal signaling performance for each specific aggregation scenario rather than using fixed configurations.
2Productivity
If incumbent technologies occupy extended BSS bandwidth, then frequency resource utilization by incumbent systems is improved, but available channels for EHT operations are reduced
Solution Approach 1:
The frequency spectrum is segmented into multiple RUs that can be selectively aggregated. This allows the system to utilize noncontiguous bandwidth segments that may be available while incumbent technologies occupy other segments, thereby finding usable frequency resources despite partial spectrum occupation by incumbent systems.
Solution Approach 2:
Different portions of the frequency spectrum are treated with different qualities - some segments are used by incumbent technologies while other segments are allocated for EHT operations. The system identifies and utilizes locally available frequency resources rather than requiring the entire extended BSS bandwidth to be free.
3Quantity of substance
If RUs are aggregated across noncontiguous bandwidth segments, then frequency resource utilization is improved, but difficulty in discovering contiguous idle channels increases
Solution Approach 1:
The system segments the frequency spectrum into multiple RUs and enables aggregation across noncontiguous segments. This segmentation approach transforms the channel discovery problem from finding large contiguous blocks to identifying and aggregating smaller available RU segments, making resource discovery more manageable in occupied spectrum environments.
Data Source
AI summary
This disclosure provides methods, devices and systems for data parsing for resource unit (RU) aggregation. A wireless communication device (such as an access point (AP) or a station (STA)) may allocate a set of resource units (RUs) for a receiving device in a basic service set (BSS). The set of RUs may be associated with multiple bandwidth segments of a bandwidth allocation and may be non-contiguous or contiguous. The wireless communication device may determine a data parsing and encoding scheme for a set of information bits. In some implementations, the encoded bits may be distributed to the set of RUs based on a distance to tone mapping value or pilot tone location or both of the aggregated set of RUs different than respective values or pilot tone locations of the RUs in the aggregated set of RUs.