NOMA Resource Selection via Dynamic Overloading and Signature Adaptation
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Solution Overview
Problem
Current 5G wireless communication systems face challenges in efficiently managing resource configuration and selection for non-orthogonal multiple access (NOMA) in diverse deployment scenarios, particularly in balancing overloading factors and multiple access signature sizes for optimal uplink transmission.
Innovation Solution
A wireless transmit/receive unit (WTRU) is configured to receive resource configuration from a network, which indicates sets of resources with specific overloading factors and multiple access signature sizes, allowing the WTRU to perform measurements and select appropriate resources for NOMA transmission based on thresholds such as SNR or RSRP, enabling flexible resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a high overloading factor is used with short multiple access signature for NOMA transmission, then resource utilization and system capacity are improved, but measurement precision and signal quality deteriorate
Solution Approach 1:
The patent implements dynamic resource allocation where the WTRU can switch between different resource sets (first resource set with high overloading factor and short signature, second resource set with low overloading factor and long signature) based on real-time measurements and network conditions. This dynamic adaptation allows the system to optimize between resource utilization and signal quality depending on current channel conditions.
Solution Approach 2:
The patent changes key parameters (overloading factor and multiple access signature length) based on measurement results. When measurements indicate good channel conditions, the system uses high overloading factor with short signatures for better resource efficiency. When measurements indicate poor conditions, it switches to low overloading factor with long signatures for better signal quality and reliability.
2Measurement precision
If a low overloading factor is used with long multiple access signature for NOMA transmission, then measurement precision and signal quality are improved, but resource utilization and system capacity deteriorate
Solution Approach 1:
The system dynamically selects between resource sets based on real-time channel measurements. The WTRU performs measurements, compares them against thresholds, and adaptively chooses the appropriate resource set configuration, ensuring optimal signal quality when channel conditions warrant it while maintaining overall system efficiency.
Solution Approach 2:
The patent adjusts overloading factor and signature length parameters based on measurement outcomes. Poor measurement results trigger selection of the second resource set with conservative parameters (low overloading, long signature) for reliability, while good measurements enable use of the first resource set with aggressive parameters for efficiency.
3Device complexity
If fixed resource configuration is used for NOMA transmission, then device complexity is reduced, but adaptability to varying network conditions deteriorates
Solution Approach 1:
The patent segments the resource configuration into multiple distinct resource sets, each optimized for specific conditions. The first resource set is configured for high-capacity scenarios with high overloading and short signatures, while the second resource set is configured for reliability scenarios with low overloading and long signatures. This segmentation allows flexible adaptation without requiring complete reconfiguration.
Solution Approach 2:
The network pre-configures multiple resource sets with different parameters before the WTRU needs to transmit. These pre-configured resource sets are stored and ready for rapid selection based on measurements, eliminating the need for complex real-time configuration decisions and reducing device complexity while maintaining adaptability.
Data Source
AI summary
Systems, methods, and instrumentalities are described herein that may be used for NOMA resource selection. Different types of NOMA resources may be configured by a network and selected by a WTRU based on rules, priorities, fairness, overloading factors, multiple access signature sizes, measurement results, payload sizes, and/or the like. Single-NOMA operations may be performed using DFT-invariant codewords. Multiple NOMA schemes may coexist with different codeword types and/or codeword sizes.