Sidelink Search Space Configuration for IoT Channel Sensing
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Solution Overview
Problem
Current sidelink communication technologies in IoT applications face challenges with resource-intensive channel sensing across a large number of subchannels, leading to latency and reliability issues due to the need for blind decoding of all subchannels, which exceeds the capabilities of user equipment (UE) and impacts communication efficiency and accuracy.
Innovation Solution
Configuring a search space as a subset of resources within a resource pool for sidelink communication, allowing user equipment (UE) to calculate congestion control metrics such as channel busy ratio (CBR) or channel occupancy ratio (CR) to determine optimal transmission resources, thereby reducing the need for exhaustive channel sensing and conserving resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If channel sensing is performed on the entire resource pool (full set of subchannels) prior to initiating sidelink communication, then channel sensing accuracy and reliability are improved, but UE resources (processing capability, energy, time) are excessively expended
Solution Approach 1:
The patent divides the entire resource pool into multiple search spaces (e.g., first search space and second search space with different densities). Instead of sensing the full resource pool, the UE performs channel sensing on these segmented search spaces. This segmentation reduces the sensing scope while maintaining reliability through selective monitoring of representative subspaces.
Solution Approach 2:
The patent extracts and monitors only the essential control information from specific search spaces rather than processing all subchannels. By taking out the critical control signaling from the full resource pool and focusing sensing efforts on these extracted elements, the system achieves reliable channel sensing with reduced UE processing burden.
2Reliability
If channel sensing is performed on the entire resource pool, then communication reliability is improved, but transmission latency increases due to exhaustive sensing requirements
Solution Approach 1:
By segmenting the resource pool into multiple search spaces with different densities, the patent enables parallel or selective sensing of these spaces. This segmentation allows the UE to quickly assess channel conditions in less dense search spaces while maintaining reliability through coordinated monitoring, thereby reducing overall sensing time and transmission latency.
Solution Approach 2:
The patent applies partial action by performing channel sensing on a subset of search spaces rather than the complete resource pool. This partial sensing approach is sufficient to make transmission decisions while significantly reducing the time required compared to exhaustive sensing of all subchannels.
3Measurement precision
If blind decoding is performed on all subchannels, then resource selection accuracy is improved, but energy consumption and processing load exceed UE capabilities
Solution Approach 1:
The patent segments the resource pool into multiple search spaces, allowing the UE to perform blind decoding only within these segmented spaces rather than across all subchannels. This segmentation maintains resource selection accuracy by focusing decoding efforts on relevant control information while dramatically reducing energy consumption and processing load.
Solution Approach 2:
Different search spaces are configured with different densities tailored to specific communication scenarios. The patent applies local quality by optimizing the decoding process for each search space's characteristics, ensuring accurate resource selection in each local context while avoiding the excessive energy cost of uniform high-precision decoding across the entire resource pool.
4Measurement precision
If a dense search space is configured for control channel monitoring, then control information detection capability is improved, but UE processing complexity and energy consumption increase
Solution Approach 1:
The patent divides the monitoring task into multiple search spaces with different densities. A dense search space provides high detection capability for control information, while less dense search spaces reduce processing complexity. This segmentation allows the system to balance detection capability and processing load by distributing monitoring across multiple spaces with varying densities.
Data Source
AI summary
Aspects of the present disclosure provide techniques for search space channel sensing in sidelink communication between one or more sensors/actuators (SAs) and programmable logic controller (PLC) in internet of things (IoT) applications. Particularly, the techniques described herein configure a search space (e.g., subset of all available sub-channels/resources) for transmission and reception of sidelink packets (e.g., physical sidelink control channel (PSCCH) and physical sidelink shared channel (PSSCH)) between the PLC from the one or more SAs. Thus, in some instances, the UE may perform congestion control metrics for a one or more search spaces in which the UE may transmit sidelink communications. The congestion control metrics that may be limited to the search space may preserve UE resources that would otherwise need to be expended to perform channel sensing on an entire resource pool prior to initiating sidelink communication.