Probability-Based Sidelink Resource Selection for Wireless UEs
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently utilizing sidelink resources, particularly in adapting to traffic conditions and minimizing delays in transmitting ultra-reliable low-latency communications (URLLC) data, due to contention issues in peer-to-peer (P2P) and device-to-device (D2D) communications.
Innovation Solution
Implementing a probability-based resource selection method for user equipment (UE) in sidelink networks, where UE selects resources for transmission based on probabilities (p, p1, p2, p3) to either use sensed or random selection schemes, adapting to traffic conditions and avoiding reserved resources or candidate resources accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional resource selection methods are used in sidelink networks, then the system structure remains simple, but resource utilization efficiency is low and contention issues arise
Solution Approach 1:
The patent implements dynamic resource selection by allowing UEs to switch between sensed and random selection schemes based on real-time traffic conditions. The UE determines which scheme to use dynamically according to current network state, optimizing resource utilization while managing complexity through adaptive rather than static approaches
Solution Approach 2:
The patent changes the selection parameter from fixed deterministic rules to probability-based randomization. By introducing probability parameters (p, p1, p2, p3) that control the likelihood of selecting sensed vs. random schemes, the system achieves more efficient resource sharing while keeping the decision mechanism relatively simple
2Loss of time
If deterministic resource selection is used, then the selection process is simple, but delays in URLLC data transmission increase due to contentions
Solution Approach 1:
The system dynamically adapts the selection strategy based on traffic conditions. When traffic is heavy, the UE switches to random selection to avoid deterministic collisions. This dynamic adaptation reduces transmission delays without requiring complex manual intervention, as the system automatically adjusts based on observed conditions
Solution Approach 2:
The UE monitors traffic conditions and uses this feedback to determine which selection scheme to employ. The feedback mechanism allows the system to learn from current network state and adjust behavior accordingly, reducing delays through adaptive response rather than rigid predetermined rules
3Reliability
If sensed selection scheme is always used, then resource allocation is optimized, but URLLC latency requirements cannot be met due to reserved resources
Solution Approach 1:
The system dynamically switches between sensed and random selection based on traffic conditions. When traffic is light, sensed selection maximizes resource utilization. When traffic is heavy or URLLC data needs urgent transmission, the system switches to random selection to guarantee low latency. This dynamic behavior satisfies both reliability and productivity requirements at different operational states
Solution Approach 2:
The patent introduces probability parameters (p, p1, p2, p3) that control the balance between sensed and random selection. By adjusting these probability parameters based on traffic conditions, the system optimizes the trade-off between resource utilization efficiency and URLLC latency guarantees, allowing flexible adaptation to different service requirements
4Productivity
If random selection is always used, then contention is minimized, but resource utilization efficiency decreases
Solution Approach 1:
The system dynamically adapts the selection strategy based on real-time traffic conditions. When traffic is light, it uses sensed selection to maximize resource utilization. When traffic is heavy, it switches to random selection to minimize contention and improve transmission success rate. This dynamic adaptation resolves the contradiction between efficiency and reliability by choosing the appropriate strategy for current conditions
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may select a resource to utilize for transmitting a sidelink communication based at least in part on a probability. The UE may transmit, to another UE in a sidelink network, the sidelink communication utilizing the resource based at least in part on selecting the resource. Numerous other aspects are provided.