D2D Resource Selection via Decoded RRM Interference Prediction
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Solution Overview
Problem
In mixed device-to-device (D2D) and cellular environments, existing technologies face inefficiencies in resource utilization and interference management, particularly in hybrid modes where D2D UEs need to coexist with cellular UEs, leading to potential interference that affects D2D performance.
Innovation Solution
A method and apparatus that collect and compute average neighbor UE interferences, predict interference scenarios, and select resources for data transmission to minimize interference by using decoded uplink radio resource management messages, allowing D2D UEs to share resources with cellular UEs while avoiding strong interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If D2D UEs share resources with cellular UEs to improve resource utilization, then resource efficiency improves, but interference from cellular UEs increases
Solution Approach 1:
The patent applies preliminary action by collecting interference information from multiple cellular UEs in advance and computing average interference levels before D2D resource selection. The system decodes uplink RRM messages from cellular UEs, gathers interference data over multiple time instances, and calculates average neighbor UE interferences beforehand, enabling D2D UEs to select resources with minimal expected interference while improving resource utilization
Solution Approach 2:
The patent implements feedback by continuously monitoring and collecting interference information from cellular UEs through decoded RRM messages. The system uses this feedback to dynamically adjust resource selection decisions, comparing actual interference measurements with predicted interference scenarios to optimize D2D resource allocation while avoiding high-interference resources
2Ease of operation
If D2D UEs use centralized cellular mode for easy resource control, then interference control simplifies, but resource utilization efficiency decreases
Solution Approach 1:
The patent uses an intermediary approach by having D2D UEs autonomously select resources based on decoded RRM messages from cellular UEs and computed average interference information. This intermediary mechanism enables distributed resource selection that maintains ease of control through standardized message decoding while achieving improved resource utilization efficiency through autonomous interference-aware resource picking
Solution Approach 2:
The patent applies self-service by enabling D2D UEs to independently perform resource selection based on their own decoding of RRM messages and local computation of average interference. Each D2D UE autonomously evaluates interference scenarios and selects resources without requiring complex centralized coordination, thereby improving resource utilization while maintaining operational simplicity
Data Source
AI summary
In accordance with an example embodiment of the present invention, a method is disclosed that comprises collecting a set of neighbor cellular user equipment (UE) interferences from at least one neighbor cellular UE at a device-to-device (D2D) UE at least in part based on a decoded first uplink radio resource management (RRM) message and computing a first set of average neighbor UE interferences based on the set of collected neighbor cellular UE interferences. The method also comprises predicting at least one interference scenario at least in part based on the first set of average neighbor cellular UE interferences and a decoded second uplink RRM message. The method also comprises selecting a resource for data transmission to a pairing D2D UE at least in part based on the first set of average neighbor cellular UE interferences, and transmitting data over the selected resource to the pairing D2D UE.