Aggregated Occupancy Grid Mapping With OTA Cell-Level Reporting
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently generating high-definition maps for automotive applications like advanced driver-assistance systems, particularly in managing communication overhead associated with dynamic occupancy grids from multiple user equipment (UEs).
Innovation Solution
A network entity generates an aggregated occupancy grid by combining occupancy grids from multiple UEs using over-the-air (OTA) aggregation, determining cell occupancy based on energy levels, and transmitting signaling only on occupied cells, thereby reducing overhead signaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If each UE transmits occupancy information for all cells independently, then complete occupancy information is obtained, but communication overhead increases significantly
Solution Approach 1:
Multiple UEs transmit occupancy information for the same cell simultaneously on the same time-frequency resource. The base station combines these transmissions to determine cell occupancy status, merging multiple signals into a single determination process rather than receiving separate transmissions from each UE.
Solution Approach 2:
The same time-frequency resource is used universally by multiple UEs to transmit occupancy information for a given cell. This multi-functional use of resources allows the system to handle occupancy reporting from multiple UEs without allocating dedicated resources to each, reducing overall communication overhead.
2Measurement precision
If occupancy grids from multiple UEs are aggregated, then high-definition map accuracy improves, but processing complexity and signaling overhead increase
Solution Approach 1:
The patent extracts only the essential occupancy status information (occupied or unoccupied) from each UE's sensor data, rather than transmitting complete occupancy grids. This extraction of critical information reduces the data processing burden while maintaining the ability to generate accurate maps through aggregation at the base station.
Solution Approach 2:
UEs transmit signaling only for cells that are occupied according to their sensor measurements, rather than transmitting information for all cells. This partial action approach reduces the amount of data that needs to be processed and transmitted, while the base station can still aggregate sufficient information from multiple UEs to achieve complete coverage and high-definition map accuracy.
3Area of stationary object
If all UEs transmit on all time-frequency resources, then complete coverage is achieved, but resource efficiency decreases
Solution Approach 1:
Each UE transmits occupancy information only for specific cells that are relevant to its local sensor coverage area. This local quality approach allows the system to achieve complete overall coverage through aggregation of local information from multiple UEs, while each individual UE consumes minimal resources by transmitting only when and where necessary.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. The method may include a user equipment (UE) receiving control information indicating an occupancy grid including a set of cells corresponding to a geographical area. Each cell of the set of cells may correspond to a resource element (RE) of a set of REs. The UE may then receive, from one or more sensors, signaling indicating occupancy information for one or more cells of the set of cells and transmitting signaling via an RE of the set of RE that corresponds to a cell that is occupied. The network entity may monitor the set of REs and generate an aggregated occupancy grid based on an energy level of the REs.