D2D Resource Conflict Reduction via Adaptive UE Probability
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Solution Overview
Problem
In device-to-device (D2D) communication, the existing contention-based resource allocation mechanism leads to resource conflicts as different UEs randomly select resources, resulting in high probabilities of resource occupation and conflicts, which are not effectively reduced by existing methods.
Innovation Solution
Each UE determines available resources based on parameters such as the quantity of conflicts, conflict time, or service priority, and adjusts its resource selection or wait period accordingly to minimize conflicts, thereby reducing the likelihood of competing for the same resource.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If UE randomly selects resources from the resource pool in contention-based manner, then resource allocation flexibility is improved, but resource conflict probability increases
Solution Approach 1:
The patent applies local quality by making different UEs have different transmit probabilities based on their individual conditions (buffer status, channel quality, priority levels). Instead of uniform random selection, each UE adapts its transmission behavior locally according to its specific situation, reducing overall conflict probability while maintaining allocation flexibility.
Solution Approach 2:
The patent changes the parameter of transmit probability from a fixed random value to a dynamically adjustable parameter based on UE conditions, buffer status, channel quality, and priority. This parameter change allows the system to balance between allocation flexibility and conflict reduction by adjusting probabilities rather than using pure random selection.
2Productivity
If UE increases transmit probability to send discovery signals more frequently, then discovery efficiency is improved, but resource occupation conflict increases
Solution Approach 1:
The patent dynamically adjusts the transmit probability parameter based on current system conditions, UE priority, and channel state. This allows the system to optimize discovery efficiency by increasing probability when needed while controlling conflict through conditional probability adjustment rather than uniform high probability transmission.
Solution Approach 2:
The transmit probability is made dynamic rather than static, allowing UEs to adjust their transmission behavior based on real-time conditions including buffer status, channel quality, and observed conflict levels. This dynamic adjustment enables the system to respond to changing conditions and balance discovery efficiency with conflict avoidance.
Data Source
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AI summary
The present invention provides a resource conflict reducing method and UE, relates to the communications field, and is used for resource contention of the UE, so as to effectively reduce a conflict generated in a D2D technology because transmit UE preempts a resource. The method includes: determining, by first UE, N available resources from S resources, where S is a resource quantity indicated by resource configuration information obtained by the first UE; determining, by the first UE, M resources according to the N available resources; and sending, by the first UE, data to at least one second UE by using the M resources.