Semi-Persistent Scheduling Sensing for UE-to-UE Collision Reduction
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Solution Overview
Problem
Current wireless communication technologies face challenges in efficiently managing transmission resources, particularly in scenarios with high demand for mobile broadband access, leading to increased collision probability and reduced throughput in UE-to-UE communications.
Innovation Solution
The implementation of semi-persistent scheduling and sensing techniques, where user equipment (UE) transmits information identifying a window for subsequent transmissions, allowing for prioritization and contention-based access to reduce collision probability and improve resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional scheduling methods are used in wireless communication, then resource allocation is simple, but collision probability increases and throughput decreases in UE-to-UE communications
Solution Approach 1:
The patent applies preliminary action by performing sensing operations before transmission to identify available resources. The UE senses the channel in advance, identifies occupied resources, and selects transmission resources based on this prior knowledge, thereby avoiding collisions before they occur. This is evident in the sensing-based resource selection mechanism where UEs perform channel assessments prior to data transmission.
Solution Approach 2:
The patent implements feedback through the sensing mechanism where UEs continuously monitor the channel and adjust their resource selection based on detected transmissions from other UEs. The sensing results provide feedback information that guides subsequent transmission decisions, creating a closed-loop system that adapts to changing channel conditions and reduces collision probability.
2Productivity
If more transmission resources are allocated to meet increasing mobile broadband demand, then throughput improves, but resource management complexity and collision probability increase
Solution Approach 1:
The patent applies self-service by enabling UEs to autonomously select transmission resources without centralized scheduling. Each UE independently performs sensing, identifies available resources, and makes transmission decisions on its own. This distributed self-service approach reduces the signaling overhead and management complexity associated with centralized resource allocation while still meeting increasing broadband demands.
Solution Approach 2:
The patent implements dynamics by making resource allocation adaptive rather than static. UEs continuously sense the channel and adjust their resource selection in real-time based on current conditions. This dynamic approach allows the system to efficiently accommodate varying traffic demands and multiple simultaneous transmissions without requiring complex pre-planned resource management schemes.
3Ease of operation
If centralized scheduling is used for resource allocation, then resource management is simplified, but latency increases and scalability is limited for UE-to-UE communications
Solution Approach 1:
The patent applies segmentation by dividing the resource allocation function into independent segments performed by individual UEs rather than centralized control. Each UE independently performs sensing and resource selection, eliminating the need for centralized scheduling decisions and associated signaling delays. This segmented approach reduces scheduling latency while maintaining operational simplicity through standardized sensing and selection procedures.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a first transmission, wherein the first transmission includes information identifying a window, and wherein the UE is to transmit at least part of a second transmission in the window; and transmit at least part of the second transmission in the window. Numerous other aspects are provided.