Local Dynamic Map for 5G Beam Prediction
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Solution Overview
Problem
5G ultra-reliable and low-latency communication (URLLC) technologies face challenges in predicting and avoiding channel distortions, such as line-of-sight path blocking, which leads to significant latency and reliability issues due to the need for excessive frequency and time resources in conventional channel estimation methods.
Innovation Solution
The method involves using a local dynamic map (LDM) to predict channel states and select optimal transmission/reception beams between base station and mobile nodes, incorporating probe node data for location, direction, and speed information, and updating LDM information to reconfigure beams and avoid blockages, leveraging intelligent reflecting surfaces for high-reliability and low-latency communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional channel estimation methods are used to predict and avoid channel distortions, then reliability is improved, but transmission latency increases and frequency/time resources are excessively consumed
Solution Approach 1:
The system performs preliminary channel state prediction using LDM information that includes location, movement trajectory, and beamforming data of base stations and mobile nodes. By predicting channel distortions before they occur and pre-selecting alternative beams, the system avoids latency caused by reactive channel estimation and beam switching during transmission.
Solution Approach 2:
The patent creates a virtual copy of the wireless environment through LDM (Local Dynamic Map) that simulates channel conditions, blockages, and beamforming patterns. This virtual model allows the system to test and evaluate multiple beam paths in silico before actual transmission, eliminating the need for extensive frequency and time resources dedicated to conventional channel estimation.
2Reliability
If conventional channel estimation methods are used to maintain communication links, then reliability is improved, but frequency and time resources are excessively consumed
Solution Approach 1:
The LDM creates a virtual representation of the wireless environment including base station locations, mobile node trajectories, and beamforming patterns. This virtual model allows comprehensive channel analysis and beam selection without requiring extensive physical frequency and time resources for conventional estimation procedures.
Solution Approach 2:
By performing beam prediction and selection in advance using LDM data, the system identifies optimal transmission paths before actual data transmission begins. This preliminary action eliminates the need for continuous frequency and time resource allocation for channel estimation during the transmission process.
3Device complexity
If beam selection is performed without LDM prediction, then device complexity is reduced, but transmission latency increases due to lack of optimal beam selection
Solution Approach 1:
The LDM serves as an intermediary layer between raw sensor data (location, speed, direction) and beam selection decisions. It processes and integrates multi-source information including base station probe data, mobile node trajectories, and environmental blockage predictions, providing pre-processed beam recommendations that reduce the computational burden on communication devices while maintaining low latency.
Data Source
AI summary
Provided are a method and apparatus for performing wireless communication through channel state prediction using a local dynamic map. The method may include (a) receiving probe node data (PND) of a base station node and a mobile node, (b) generating local dynamic map (LDM) information including communication network information between the base station node and the mobile node using the probe node data, and (c) transmitting the LDM information to the base station node and the mobile node, wherein the LDM information may be used to select a transmission beam of the base station node and a reception beam of the mobile node corresponding to the transmission beam or a reception beam of the base station node and a transmission beam of the mobile node corresponding to the reception beam.