Signature-Domain Multiplexing for Non-Orthogonal Resource Allocation

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Solution Overview

Problem

Current wireless communication systems face challenges in achieving reliable communication, particularly for ultra-reliable low latency communications (URLLC), due to limitations in the physical downlink control channel (PDCCH) that result in high false-positive detection probabilities, leading to increased latency and unsuccessful data transmission.

Innovation Solution

Implementing a user equipment (UE) and base station configuration that utilizes Euler-square mapping to create non-orthogonal subsets of resources, allowing for a higher number of predefined subsets based on a mapping of initial resources, enabling efficient resource allocation and reducing false-positive detection probabilities through signature-domain multiplexing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional orthogonal resource allocation is used in PDCCH, then resource allocation is simple and manageable, but false-positive detection probability is high leading to unreliable communication

Engineering Contradiction:
Improvecommunication reliabilityVSAvoidresource allocation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the PDCCH resources into multiple search spaces (common search space and UE-specific search space) with different monitoring configurations. This segmentation allows the system to reduce false-positive detection probability by distributing control information across multiple segmented resource sets, thereby improving communication reliability without requiring complete redesign of the resource allocation framework.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension of resource allocation by defining search space sets with multiple monitoring occasions across different time slots and frequency resources. This multi-dimensional resource structure enables the system to distinguish between actual control information and false detections by checking consistency across multiple dimensions, thus improving reliability while maintaining manageable complexity through structured organization.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If PDCCH monitoring is increased to improve detection reliability, then false-positive detection probability decreases, but latency increases due to additional monitoring overhead

Engineering Contradiction:
Improvedetection reliabilityVSAvoidcommunication latency
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements dynamic monitoring configurations where the UE can adaptively adjust monitoring behavior based on traffic conditions and reliability requirements. For URLLC services, the system dynamically configures search space sets with appropriate monitoring periods and offsets, enabling reliable detection without continuous monitoring that would increase latency. This dynamic adaptation resolves the contradiction by making monitoring intensity conditional rather than static.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes key parameters such as monitoring periodicity, offset values, and search space set identifiers to optimize the balance between detection reliability and latency. By adjusting these parameters根据不同 service requirements (e.g., longer periodicity for eMBB, shorter for URLLC), the system achieves reliable detection with minimal latency overhead, resolving the contradiction through parameter optimization rather than structural changes.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If resource subsets are made orthogonal to simplify detection, then detection complexity is reduced, but resource utilization efficiency decreases

Engineering Contradiction:
Improveresource utilization efficiencyVSAvoiddetection complexity
Core Design Contradiction:
ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent employs asymmetric resource allocation patterns in search space sets where different UEs or different control information types are assigned to non-uniformly distributed resources. This asymmetric structure improves resource utilization efficiency by allowing overlapping and non-orthogonal resource patterns while maintaining detectability through the structured asymmetry. The detection complexity is managed by providing clear asymmetry patterns that facilitate differentiated detection without requiring full orthogonality.

Inventive Principle:
Principle #4Asymmetry

Solution Approach 2:

The patent creates universal search space set configurations that can serve multiple functions: common control information, UE-specific control information, and group-specific control information can all be transmitted using the same search space set framework with different parameter configurations. This multi-functionality improves resource utilization efficiency by eliminating the need for separate orthogonal resource allocations for different control types, while detection complexity is managed through the unified structure that provides consistent detection procedures across different functions.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11405158B2Signature-domain multiplexing for non-orthogonal multiple access
Publication Date: 2022.08.02 FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
  • US11405158B2 patent drawing
  • US11405158B2 patent drawing
  • US11405158B2 patent drawing

AI summary

A user equipment for operating in a wireless network, wherein the wireless network utilizes a first number of resources for serving communicating UEs, comprises a wireless interface for communicating in the wireless network; and a controller configured for selecting, for communicating in the wireless network, from a second number of predefined subsets of the first number of resources, at least one subset. The second number is larger than the first number and the second number of predefined subsets is based on a mapping of the first number of resources into the second number of subsets using an Euler-square mapping.