D2D Resource Allocation Mode Switching for Signaling Overhead
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Solution Overview
Problem
Current D2D communication systems lack a flexible mechanism to switch between resource allocation modes, leading to inefficiencies in resource utilization and communication performance, especially in scenarios with a large number of users or high interference.
Innovation Solution
A method where a base station transmits configuration information to UE, indicating the appropriate resource allocation mode, allowing for efficient switching between network scheduling and UE autonomous selection modes based on support capability, QoS requirements, and resource availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If UE autonomous selection mode is used for D2D resource allocation, then control signaling overhead in the network is reduced, but the UE may have long waiting or backoff time and QoS is adversely affected when there are a large number of users or strong interference
Solution Approach 1:
The patent implements dynamic switching between UE autonomous selection mode and network scheduling mode based on real-time channel conditions, user density, and QoS requirements. The network can dynamically adjust the resource allocation mode from static to adaptive, allowing UEs to switch from autonomous selection to network-scheduled mode when interference is high or user density is large, thereby reducing waiting time while managing signaling overhead efficiently.
Solution Approach 2:
The patent changes the operational parameters of the resource allocation system by introducing configurable mode-switching criteria. The network can adjust parameters such as interference thresholds, user density thresholds, and QoS requirements to determine when to switch between autonomous selection and network scheduling modes, optimizing the balance between signaling overhead and waiting time based on current system conditions.
2Reliability
If network scheduling mode is used for D2D resource allocation, then QoS is improved and waiting time is reduced, but control signaling overhead in the network increases
Solution Approach 1:
The patent implements dynamic switching between network scheduling mode and UE autonomous selection mode based on real-time channel conditions, user density, and QoS requirements. The network can dynamically adjust the resource allocation mode from static to adaptive, allowing UEs to switch from autonomous selection to network-scheduled mode when interference is high or user density is large, thereby reducing waiting time while managing signaling overhead efficiently.
Solution Approach 2:
The patent changes the operational parameters of the resource allocation system by introducing configurable mode-switching criteria. The network can adjust parameters such as interference thresholds, user density thresholds, and QoS requirements to determine when to switch between autonomous selection and network scheduling modes, optimizing the balance between signaling overhead and waiting time based on current system conditions.
3Device complexity
If fixed resource allocation mode is used for D2D communication, then system complexity is reduced, but the system cannot adapt to different scenarios and D2D communication is adversely affected
Solution Approach 1:
The patent implements dynamic switching between UE autonomous selection mode and network scheduling mode based on real-time channel conditions, user density, and QoS requirements. The network can dynamically adjust the resource allocation mode from static to adaptive, allowing UEs to switch from autonomous selection to network-scheduled mode when interference is high or user density is large, thereby reducing waiting time while managing signaling overhead efficiently.
Solution Approach 2:
The patent creates a universal resource allocation framework that can function in multiple modes (UE autonomous selection mode and network scheduling mode) depending on the scenario. This multi-functional system can adapt to different D2D communication scenarios including varying user densities, interference conditions, and QoS requirements, making the system universally applicable rather than scenario-specific.
Data Source
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AI summary
The present disclosure provides a resource allocation method and a resource allocation equipment for D2D signal transmission. The resource allocation method includes steps of: determining, by a base station, a resource allocation mode to be adopted by a UE, the resource allocation mode including a network scheduling mode and a UE autonomous selection mode; and transmitting, by the base station, configuration information to the UE, the configuration information including at least one of: indication information indicating whether or not the UE is permitted to determine a resource in accordance with the network scheduling mode and/or UE autonomous selection mode, QoS information of a D2D service corresponding to each resource allocation mode, and resource allocation information for determining the resource in the case that the UE adopts the UE autonomous selection mode. According to the present disclosure, it is able to switch the UE efficiently between the different resource allocation modes in accordance with the configuration information from the base station, thereby to flexibly change the resource allocation mode in accordance with the practical need, and efficiently improve a resource utilization rate as well as the D2D communication performance.