Vehicle Edge Device Cooperation via Cloud Server
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Solution Overview
Problem
Current wireless communication systems, particularly in mobility applications like moving vehicles, face challenges with data throughput, signal-to-noise ratio, and battery consumption due to frequent switching between 4G and 5G, and struggle to maintain seamless Quality of Experience (QoE) without increasing infrastructure costs.
Innovation Solution
A communication system and method that utilize a central cloud server to control cooperation between edge devices in vehicles, identifying the dominant edge device based on Reference Signal Received Power (RSRP) and signal-to-noise ratio (SNR), and enfeebling the non-dominant device to improve performance and reduce battery consumption by connecting user equipment (UEs) to the dominant edge device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple edge devices are deployed in vehicles to improve coverage and capacity, then network coverage and service capacity are enhanced, but device complexity and coordination overhead increase
Solution Approach 1:
A cloud server acts as an intermediary to manage and coordinate multiple edge devices. The cloud server receives sensing information from edge devices, determines travel paths, identifies dominant edge devices, and provides beam alignment information. This centralized coordination reduces the complexity of peer-to-peer device communication while maintaining enhanced network coverage through multiple deployed edge devices.
2Measurement precision
If standard beam sweeping operation is used for initial access, then comprehensive channel exploration is achieved, but battery consumption increases significantly
Solution Approach 1:
The cloud server performs preliminary beam alignment by determining travel paths of vehicles based on sensing information from edge devices, identifying dominant edge devices along these paths, and providing beam alignment information to UEs before actual communication begins. This preliminary action eliminates the need for UEs to perform exhaustive beam sweeping, significantly reducing battery consumption while maintaining comprehensive channel exploration.
3Reliability
If UEs frequently switch between 4G and 5G radio access, then network availability is maintained, but battery drainage accelerates
Solution Approach 1:
The system implements feedback mechanisms where the cloud server continuously monitors sensing information from edge devices, tracks vehicle travel paths, and dynamically identifies dominant edge devices. This feedback enables the network to maintain optimal 5G connectivity by proactively managing handovers and beam alignments, reducing the need for frequent 4G/5G switching and thereby reducing battery drainage while maintaining network availability.
4Productivity
If dominant edge device selection and enfeeblement is implemented, then data throughput and SNR are improved, but control system complexity increases
Solution Approach 1:
The cloud server serves as an intermediary that centralizes the complexity of dominant edge device selection and enfeeblement control. By receiving sensing information from all edge devices, determining travel paths, identifying dominant devices based on signal quality metrics, and managing the enfeeblement of non-dominant devices, the cloud server simplifies the control architecture while achieving improved data throughput and signal-to-noise ratio through optimized edge device cooperation.
Data Source
AI summary
A communication system includes a central cloud server that detects the presence of an active sync path at each of a first edge device and a second edge device, where the first edge device is arranged at a first location at a vehicle and the second edge device is arranged at a second location of the vehicle. The central cloud server further determines a dominant edge device and a non-dominant edge device from the first edge device and the second edge device. The central cloud server further elects the determined dominant edge device from the first edge device and the second edge device to service one or more user equipment (UEs) in the vehicle, which improves performance in terms of data throughput and signal-to-noise ratio (SNR) of one or more UEs present in the vehicle by effectively controlling cooperation between two edge devices arranged in the vehicle.