Noncontiguous Channel Aggregation via Bandwidth-Based Data Partitioning
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Solution Overview
Problem
Conventional dynamic spectrum access (DSA) systems inefficiently use spectrum and power due to assumptions of equal channel bandwidths and independent data encoding, leading to suboptimal channel utilization.
Innovation Solution
A technology that aggregates channels of unequal bandwidths by partitioning data streams based on bandwidth data, using puncturing mechanisms to distribute data across multiple channels while meeting regulatory constraints, and employing database querying for available channel information and filter characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If channels are assumed to have equal bandwidth and data are encoded independently, then the system design is simple, but spectrum and power usage becomes inefficient
Solution Approach 1:
The patent segments the data stream into multiple sub-streams that are distributed across channels of different bandwidths. The data stream is partitioned based on the actual bandwidth characteristics of each channel, allowing efficient utilization of varying channel capacities while maintaining systematic encoding structure.
Solution Approach 2:
The system dynamically adapts the encoding scheme based on the actual bandwidth characteristics of available channels. Instead of assuming equal bandwidths, the system adjusts the data distribution and encoding parameters according to the specific bandwidth profile of each channel, optimizing spectrum and power usage.
2Ease of manufacture
If data is encoded independently across channels, then the encoding process is simple, but channel utilization becomes suboptimal
Solution Approach 1:
The patent merges the encoding process across multiple channels by treating them as a unified system. The data stream is partitioned and distributed across channels with different bandwidths in an coordinated manner, allowing the system to optimize overall channel utilization rather than treating each channel independently.
Solution Approach 2:
The system changes the encoding parameters dynamically based on channel bandwidth characteristics. The partitioning of data streams and the allocation of coding resources are adjusted according to the specific bandwidth profile of each channel, optimizing channel utilization while maintaining manageable encoding complexity.
3Productivity
If channels of unequal bandwidths are aggregated, then spectrum usage efficiency improves, but data partitioning complexity increases
Solution Approach 1:
The patent applies segmentation to divide the data stream into appropriate sub-streams for channels of different bandwidths. The data is partitioned based on the bandwidth characteristics of each channel, with larger channels receiving more data and smaller channels receiving less data, optimizing spectrum usage efficiency.
Solution Approach 2:
The system changes data partitioning parameters according to channel bandwidth profiles. The partitioning mechanism adapts to the specific bandwidth characteristics of each channel, dynamically adjusting the data distribution to maximize spectrum usage efficiency while managing partitioning complexity through systematic approaches.
Data Source
AI summary
The subject disclosure is generally directed towards a technology by which non-contiguous channels of unequal bandwidth may be aggregated for use by communication devices. A data stream is partitioned (e.g., via puncturing) into partitioned data streams for communication over aggregated non-contiguous channels, one partitioned data stream per channel, in which partitioning is based upon each channel's bandwidth. Secondary puncturing may be used on any partitioned data stream that is to be transmitted over a channel associated with a regulatory constraint, e.g., a regulatory mask. Database querying, which may include providing device filter characteristics, may be used to obtain the set of channels available for use, along with any regulatory mask associated with a channel.