Sidelink Resource Pattern Allocation for VDC Half-Duplex Collision

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Solution Overview

Problem

In vehicle direct communication (VDC) systems, device-to-device (D2D) communication in LTE networks faces severe half-duplex collisions and co-channel interference due to dynamic data packet sizes and transmission requirements, leading to reduced packet delivery ratio (PDR) performance.

Innovation Solution

A resource allocation method that determines sets of time-frequency resource patterns based on sidelink control periods, allowing for dynamic allocation to minimize half-duplex collisions and in-band emission, and implements interference coordination policies to stagger frequency bands, ensuring improved PDR performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If D2D communication is used to enable direct vehicle-to-vehicle communication, then communication efficiency is improved, but severe half-duplex collisions and co-channel interference occur between different VUEs

Engineering Contradiction:
Improvecommunication efficiencyVSAvoidpacket delivery ratio
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The resource pool is segmented into multiple resource patterns, each pattern containing specific time-frequency resources. Different VUEs are assigned to different patterns, dividing the communication system into separate transmission groups that operate semi-independently, thereby reducing half-duplex collisions while maintaining communication efficiency

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically selects resource patterns based on the quantity of VUEs and channel conditions. When VUE quantity increases, the system activates additional patterns to distribute transmissions across more resources, dynamically adapting the resource allocation to maintain reliability while preserving communication efficiency

Inventive Principle:
Principle #15Dynamics

2Quantity of substance

If the quantity of VUEs increases to support more vehicles, then system capacity is improved, but severe half-duplex collisions occur in time domain and co-channel interference occurs in frequency domain

Engineering Contradiction:
Improvequantity of VUEsVSAvoidhalf-duplex collision and co-channel interference
Core Design Contradiction:
Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The system transitions from single-dimension resource allocation to multi-dimensional resource patterns that combine time, frequency, and pattern index dimensions. By allocating resources across these multiple dimensions, the system can support more VUEs while distributing interference across different dimensions, thereby reducing the impact of half-duplex collisions and co-channel interference

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

Different resource patterns provide different local resource qualities and characteristics. The system assigns specific patterns to specific VUEs based on their locations and channel conditions, ensuring that each VUE receives locally optimized resources that minimize interference while supporting high system capacity

Inventive Principle:
Principle #3Local quality

3Area of stationary object

If frequency bands are allocated to multiple cells, then network coverage is improved, but co-channel interference occurs between different cells

Engineering Contradiction:
Improvenetwork coverageVSAvoidco-channel interference
Core Design Contradiction:
Area of stationary objectVSObject-affected harmful factors

Solution Approach 1:

The frequency spectrum is segmented into different resource patterns that can be allocated to different cells. Each cell receives a segmented portion of the overall resource pool through specific pattern assignments, enabling expanded network coverage while reducing co-channel interference through frequency division and pattern-based isolation

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10708925B2Resource allocation method and device
Publication Date: 2020.07.07 HUAWEI TECH CO LTD
  • US10708925B2 patent drawing
  • US10708925B2 patent drawing
  • US10708925B2 patent drawing

AI summary

A resource allocation method includes: determining, by a network-side device based on a maximum quantity of transmissions of a terminal device in a scheduling period, a set including at least two groups of patterns, where any group of patterns and any other group of patterns in the set are corresponding to a maximum of K same first subframes, and the first subframe is a subframe to which a frequency domain resource is allocated; receiving, by the network-side device, resource scheduling request messages sent by at least two terminal devices; determining, by the network-side device, a target group of patterns from the set based on the resource scheduling request messages, where the target group of patterns are in a one-to-one correspondence with the at least two terminal devices; and separately sending, by the network-side device, information about the target group of patterns to the at least two terminal devices.