Terahertz Wireless Network Handover via Environmental Forecasting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The use of terahertz waves for wireless data transmission is limited by high attenuation and interference from obstacles, making it difficult to achieve reliable and efficient data transfer over longer distances and in varying environments.
Innovation Solution
A method that continuously monitors and analyzes environmental changes to predict the impact on terahertz wave data connections, using field of view detection devices or probes to track obstacles and adjust transmission priorities and paths to ensure reliable high-bit-rate data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If terahertz waves are used for high-rate data transmission, then data transmission capacity is improved, but transmission reliability deteriorates due to high attenuation and obstacle interference
Solution Approach 1:
The system performs preliminary actions by continuously monitoring environmental parameters (obstacle positions, transmission conditions) and predicting future connection quality before handover is needed. This allows the network to proactively prepare for upcoming handovers by identifying target transmitting stations in advance, ensuring seamless transitions and maintaining transmission reliability while preserving high data transmission capacity
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring transmission quality metrics, obstacle detections, and connection parameters. This real-time feedback enables dynamic adjustment of handover thresholds and prediction accuracy, allowing the system to adapt to changing environmental conditions and maintain reliable high-rate transmission even in the presence of attenuation and interference
2Length of stationary object
If transmission range is extended to overcome attenuation limits, then transmission distance is improved, but susceptibility to obstacles and interference worsens
Solution Approach 1:
The system applies dynamics by making the transmission path adaptive rather than static. It continuously monitors environmental conditions and dynamically selects optimal transmitting stations based on real-time obstacle detection and connection quality predictions. This dynamic approach allows the system to extend effective transmission distance by routing around obstacles while minimizing interference exposure
Solution Approach 2:
The system introduces intermediary elements in the form of multiple transmitting stations and prediction mechanisms that mediate between the source and destination. By using intermediate prediction nodes to forecast connection quality and identify optimal relay points, the system can extend transmission distance while filtering out obstacle-interfered paths, effectively bridging gaps without direct line-of-sight
3Reliability
If continuous environmental monitoring is implemented to predict connection quality, then transmission reliability is improved, but system complexity increases
Solution Approach 1:
The system achieves universality by designing monitoring and prediction mechanisms that serve multiple functions simultaneously. The same environmental sensors and prediction algorithms used for handover decisions also optimize data transmission scheduling, resource allocation, and interference avoidance. This multi-functionality reduces overall system complexity while maintaining high connection reliability through comprehensive environmental awareness
Data Source
Figure 1
Figure 2
AI summary
The method involves detecting (S1) environmental parameters in an area of a transmitting station (1) or a terminal (2), and analyzing (S2) the environmental parameters. A forecast is generated (S3) over the environmental parameters to a time point in the future. The current connection parameters of a present terahertz-data connection are detected (S4) between the transmitting station and the terminal. The forecast and the current connection parameters are analyzed (S5).