D2D UE Hybrid Mode 3 and 4 Resource Allocation
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Solution Overview
Problem
Current D2D communication standards face challenges in ensuring reliable and efficient radio resource allocation, particularly in out-of-coverage (OOC) scenarios, where autonomous resource selection is not collision-free and resource pools are semi-statically pre-configured, leading to inefficiencies.
Innovation Solution
The proposed solution involves a user equipment (UE) that can operate in an extended Mode 3, where it continues to use its latest resource allocations even when out of coverage, and can switch to Mode 4 operation in parallel, improving resource allocation and selection procedures in OOC situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous resource selection mode (Mode 4) is used for out-of-coverage D2D communication, then device complexity is reduced and ease of operation is improved, but transmission reliability deteriorates due to collisions
Solution Approach 1:
The patent combines Mode 3 (scheduled resource allocation) and Mode 4 (autonomous resource selection) into a hybrid operation mode. The UE maintains both modes simultaneously, using Mode 3 for reliable transmissions and Mode 4 for autonomous selections, merging their advantages to achieve both reliability and ease of operation.
Solution Approach 2:
The patent introduces dynamic switching between Mode 3 and Mode 4 based on real-time conditions. The UE can dynamically select which mode to use or combine both modes, making the system adaptive and flexible rather than static, thus resolving the contradiction between reliability and ease of operation.
2Device complexity
If semi-static pre-configuration of resource pools is used, then device complexity is reduced, but resource usage efficiency deteriorates due to under- or over-utilization
Solution Approach 1:
The patent transforms the semi-static resource pool configuration into a dynamic system. The network can now dynamically adjust resource pool configurations based on real-time traffic conditions, and UEs can dynamically select from multiple pools, improving resource usage efficiency while maintaining manageable complexity through automated network management.
Solution Approach 2:
The patent introduces feedback mechanisms where UEs report resource usage conditions to the network, and the network uses this feedback to adjust resource pool configurations. This closed-loop system optimizes resource allocation efficiency while keeping the configuration process automated and manageable.
3Reliability
If OOC resource pools are not allowed to overlap with in-coverage pools, then resource allocation clarity is improved, but the size of OOC resources is limited
Solution Approach 1:
The patent resolves the resource pool overlap issue by introducing a new dimension of resource allocation. Instead of simply allowing or disallowing overlaps in the traditional sense, the system uses multiple resource pools that can be selectively activated based on coverage status, effectively adding a temporal/dimensional layer to resource allocation that resolves both clarity and size constraints.
Data Source
AI summary
The present disclosure relates to a user equipment that includes a communication interface configured to perform communication with one or more nearby UEs using one or more of a plurality of resources in a cellular communication network, and processing circuitry configured to operate the UE in a first mode and in a second mode. The first mode is a scheduled resource allocation mode, and the second mode is an autonomous resource selection mode or an idle mode. The processing circuitry is configured to switch from the first mode to the second mode based on a first condition relating to an out of coverage event of the UE being met and a second condition related to a further parameter being met.