Vehicle Beam Alignment Database for Low-Latency Wireless Handover
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Solution Overview
Problem
Existing wireless communication systems face challenges in achieving high-speed, low-latency connectivity, particularly in mobility applications, due to initial access latency, quality of experience (QoE) issues, heterogeneity of devices and networks, dynamic surroundings impacting reliability, and battery drainage in mobile UEs.
Innovation Solution
A communication system utilizing a central cloud server and edge devices that bypass standard initial-access searches, utilize an intelligent database for beam alignment, and proactively manage dynamic surroundings to ensure seamless connectivity and reduce latency, while handling heterogeneity and battery drainage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard beam sweeping operation is used for initial access in mmWave communication, then beam alignment can be achieved, but initial access latency increases significantly
Solution Approach 1:
The system performs beam alignment and connectivity information gathering in advance during a training phase, storing results in an intelligent database. During the inference phase, pre-stored beam alignment information is retrieved and applied, bypassing the need for time-consuming beam sweeping operations during actual initial access, thus reducing latency while maintaining alignment accuracy
Solution Approach 2:
The system creates a digital twin or replica of the wireless environment by storing beam alignment results and connectivity information in an intelligent database during the training phase. This copied information is then used during the inference phase to replace the need for real-time beam sweeping, achieving the same beam alignment effect without the time penalty
2Reliability
If frequent handover and reconnection are performed to maintain connectivity in mobile systems, then seamless connectivity can be achieved, but battery life is reduced
Solution Approach 1:
The system pre-gathers and stores connectivity information including beam alignment data, network node locations, and access parameters in the intelligent database during the training phase. This preliminary preparation enables the mobile device to quickly retrieve and apply appropriate connectivity information during the inference phase, reducing the frequency and intensity of handover operations and thereby conserving battery energy while maintaining reliable connectivity
3Speed
If conventional edge devices are deployed close to UEs to reduce response delay, then communication speed improves, but infrastructure cost increases
Solution Approach 1:
The intelligent database serves multiple functions: it stores beam alignment information, connectivity data, network node locations, and access parameters. This single multi-functional component replaces the need for multiple specialized infrastructure elements, achieving fast communication speed while avoiding proportional increases in infrastructure complexity and cost
Data Source
AI summary
A communication system that comprises a central cloud server which further includes a processor. The processor obtains sensing information from a plurality of vehicles as the plurality of vehicles move along a travel path, generates a connectivity enhanced database over a first period of time based on the obtained sensing information, and causes one or more RSU devices over a second period of time to direct one or more specific beams of radio frequency (RF) signals to service a donor side of a first edge device of a new vehicle in a case where the new vehicle arrives and moves along one or more first geographical areas of a plurality of geographical areas along the travel path, where the one or more specific beams are selected based on the connectivity enhanced database.