Environmental Sensing for Wireless Positioning and Beamforming
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately determining the location of User Equipment (UE) and optimizing communication due to limited environmental awareness and suboptimal beamforming, particularly in dense urban or indoor environments.
Innovation Solution
Utilizing environmental sensors on UE and base stations to obtain spatial perception information, which is shared with a network entity to generate enhanced assistance data and beamforming information, improving positioning accuracy and communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If environmental sensors are deployed on UE and base stations to obtain spatial perception information, then positioning accuracy is improved, but device complexity and energy consumption increase
Solution Approach 1:
A network entity acts as an intermediary to collect environmental information from multiple UEs and base stations, process this information centrally to generate enhanced assistance data, and distribute the processed data back to devices. This mediator approach allows individual devices to avoid the complexity of processing environmental data locally while still benefiting from improved positioning accuracy through the network-coordinated enhanced assistance data.
2Measurement precision
If environmental sensors are deployed on UE and base stations to obtain spatial perception information, then positioning accuracy is improved, but energy consumption increases
Solution Approach 1:
The network entity serves as an energy-efficient intermediary by centralizing the computationally intensive processing of environmental information. UEs and base stations only need to perform low-energy sensor data collection and transmission to the network entity, which then handles the complex processing to generate enhanced assistance data. This distribution of processing tasks significantly reduces the energy consumption burden on mobile devices while maintaining high positioning accuracy.
3Measurement precision
If enhanced assistance data is generated based on environmental information, then positioning accuracy is improved, but network signaling overhead increases
Solution Approach 1:
The network entity performs preliminary processing of environmental information from multiple sources before generating enhanced assistance data. By pre-processing and consolidating environmental data at the network level, the system reduces the amount of raw information that would otherwise need to be transmitted individually to each UE. This preliminary action minimizes network signaling overhead while ensuring that UEs receive compact, processed enhancement data that maximizes positioning accuracy.
Data Source
AI summary
Techniques for environment-based positioning and communication are disclosed. In some aspects, techniques include performing one or more positioning operations with respect to a user device in a wireless communication network, which may include obtaining first environmental information using one or more sensors of a wireless-enabled device; sending the first environmental information to a network entity of the wireless communication network; receiving first enhanced assistance data from the network entity, the first enhanced assistance data generated based at least on the first environmental information sent to the network entity; and performing the one or more positioning operations using the first enhanced assistance data received from the network entity, wherein the wireless-enabled device comprises the user device or a base station. In some aspects, techniques include improving communication in the wireless communication network, which may include receiving enhanced beamforming information from a network entity; and performing wireless communication using enhanced beamforming information.