V2V Resource Allocation via Scheduling Assignment Energy Ranking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current resource selection methods for vehicle-to-vehicle (V2V) communication in wireless communication systems, such as those using LTE technology, do not lead to good performance due to random selection of Scheduling Assignment (SA) and time domain resource patterns of transmission (T-RPT), resulting in inefficiencies and interference.
Innovation Solution
A method where a device receives Scheduling Assignments (SA) from user equipment (UE), determines the energy associated with each SA, ranks data transmission time-frequency resources based on this energy, and selects a set of resources for data transmission, thereby optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If random selection methods are used for Scheduling Assignment and time domain resource patterns, then the resource allocation process is simple and easy to implement, but the communication performance deteriorates due to poor resource selection and increased interference
Solution Approach 1:
The patent implements a feedback mechanism where user equipment measures the received power of scheduling assignments from other vehicles and uses this information to adjust resource selection. Each vehicle continuously monitors the channel conditions and modifies its resource choice based on real-time feedback about interference levels, transforming the static random selection into a dynamic adaptive process that improves communication performance while maintaining implementation simplicity.
Solution Approach 2:
The patent changes the parameter of resource selection from random uniform distribution to a probability distribution based on received power measurements. By modifying the selection criterion from purely random to power-aware, the system achieves better resource allocation without complex centralized control, resolving the contradiction between simplicity and performance.
2Device complexity
If random selection of Scheduling Assignment and time domain resource patterns is used, then the implementation complexity is low, but interference between vehicles increases leading to poor communication efficiency
Solution Approach 1:
The patent enables each vehicle to autonomously perform resource selection based on its own measurements of scheduling assignment power. Each vehicle independently monitors the channel, measures received power from other vehicles' SAs, and selects resources accordingly without requiring complex centralized coordination or additional infrastructure, thereby reducing implementation complexity while effectively managing interference.
Solution Approach 2:
The patent applies preliminary action by having vehicles measure and evaluate the received power of scheduling assignments before finalizing resource selection. This preliminary measurement and evaluation step allows vehicles to anticipate interference levels and select resources that minimize conflicts, reducing harmful interference without requiring complex real-time adjustments or centralized control.
3Productivity
If energy-based ranking of time-frequency resources is implemented, then resource utilization improves through informed selection, but the processing requirements and computational complexity increase
Solution Approach 1:
The patent substitutes complex centralized resource allocation mechanisms with a distributed approach where each vehicle performs simple local measurements of scheduling assignment power and independently ranks resources based on these measurements. This replacement of complex mechanical (centralized) systems with simpler distributed measurements and local computations achieves improved resource utilization without proportionally increasing processing requirements.
Data Source
AI summary
Methods, apparatus, and computer-readable mediums for wireless communication are provided. One apparatus is configured to receive at least one SA from at least one UE. The apparatus is further configured to determine an energy associated with each at least one SA. The apparatus is also configured to rank data transmission time-frequency resources based on the determined energy associated with said each received at least one SA. Each at least one SA are associated with a different subset of the data transmission time-frequency resources. The apparatus is further configured to select a set of data transmission time-frequency resources based on the ranked data transmission time-frequency resources and to send a data transmission on the selected set of data transmission time-frequency resources. Another apparatus is configured to partitioning time-frequency resources into different resource groups, to divide UEs into UE groups based on location, and map the UE groups to the resource groups.


