Multi-Mode Base Station for 5G and Point-to-Point Drone Signaling
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Solution Overview
Problem
Existing communication systems, such as LTE and current 5G systems, struggle to ensure bandwidth and delay requirements for drone communication, making real-time interaction with drones difficult, especially in scenarios involving point-to-point communication.
Innovation Solution
A communication network architecture incorporating a multi-mode base station that supports both 5G and point-to-point communication modes, allowing direct communication with drones using point-to-point modes and indirect communication through communication nodes, ensuring real-time control and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a point-to-point communication system is used to communicate with drones, then the system complexity is reduced, but the bandwidth and delay requirements for current drone services cannot be ensured
Solution Approach 1:
The base station is designed to support multiple communication modes (5G NR and point-to-point) simultaneously, enabling it to serve both traditional cellular networks and drone communication needs. This multi-functionality allows the system to handle diverse traffic requirements without increasing overall system complexity.
Solution Approach 2:
The communication system is segmented into different functional modes within the base station, allowing separate handling of 5G NR traffic and point-to-point drone traffic. This segmentation enables optimized resource allocation for each communication type, ensuring bandwidth and delay requirements are met for drone services.
2Reliability
If a 5G communication system is used, then bandwidth and delay requirements can be ensured, but there is no current solution for communicating with drones
Solution Approach 1:
The base station integrates both 5G NR and point-to-point communication capabilities into a single platform, making it universally applicable to both traditional mobile devices and drones. This allows the system to maintain high performance while adapting to drone-specific communication needs.
Solution Approach 2:
The point-to-point communication mode acts as an intermediary layer between the 5G core network and drone terminals, enabling drone communication without requiring complete redesign of the 5G system architecture.
3Productivity
If multiple drones communicate simultaneously through a single base station, then resource utilization is improved, but collision between controllable devices may occur
Solution Approach 1:
The base station dynamically allocates communication resources and adjusts scheduling based on the number of active drones and their specific requirements. This dynamic resource management allows multiple drones to communicate simultaneously while avoiding collisions through adaptive time-frequency resource allocation.
Solution Approach 2:
The system implements feedback mechanisms where the base station monitors communication status of multiple drones and adjusts resource allocation in real-time based on channel conditions and traffic patterns, preventing collisions while maximizing resource utilization.
Data Source
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AI summary
The present disclosure provides a communications network architecture and a signaling transport method and apparatus, said network architecture comprising: at least one controllable device and multi-mode base station, said multi-mode base station at least supporting 5G communications and point-to-point communications; said controllable device and the multi-mode base station communicate with one another on the basis of point-to-point communications. In the present disclosure, the multi-mode base station may communicate normally with a terminal on the basis of 5G communications, and communicate with the controllable device on the basis of point-to-point communications; thus the solution of a network architecture combining a 5G system communicating with a controllable device is provided.