Moving Cell Trajectory Control for Fronthaul-Backhaul Link Balance
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Solution Overview
Problem
Current radio communication networks face challenges in optimizing the positioning of moving cells for effective sensing and access, as their trajectories are not dynamically responsive to the positioning of terminal devices, leading to suboptimal communication and sensing performance due to positioning issues that affect link strength and coverage areas.
Innovation Solution
A central trajectory controller determines the trajectories for both outer moving cells and backhaul moving cells to optimize their positioning within a coverage area, balancing fronthaul and backhaul link strengths, using algorithms that consider current locations, target areas, and channel conditions to maximize data rate and link quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If moving cells use fixed or predetermined trajectories, then device complexity is reduced and ease of operation is improved, but communication performance and link strength deteriorate due to inability to adapt to terminal device positioning
Solution Approach 1:
The system implements feedback mechanisms where the central trajectory controller continuously receives information about terminal device positions and channel conditions, then adjusts moving cell trajectories in real-time to optimize link strength and communication performance while maintaining manageable system complexity through automated closed-loop control
Solution Approach 2:
A central trajectory controller acts as an intermediary between terminal devices and moving cells, managing the complexity of trajectory optimization centrally rather than requiring complex distributed coordination among multiple moving cells, thus improving communication performance without proportionally increasing overall system complexity
2Reliability
If moving cells dynamically adjust trajectories based on terminal device positioning, then link strength and communication performance are improved, but device complexity and control difficulty increase
Solution Approach 1:
The system merges trajectory control functions for multiple moving cells into a single centralized controller, allowing dynamic adjustment of individual cell trajectories to maintain optimal link strength with terminal devices while simplifying operation through unified management rather than requiring complex distributed coordination
Solution Approach 2:
The trajectory control system transitions from static predetermined paths to dynamic adaptive trajectories that automatically adjust in real-time based on terminal device positions and channel conditions, improving link strength while the automation reduces operational complexity through algorithm-based decision-making
3Productivity
If multiple moving cells operate independently with own trajectories, then device complexity at each cell is reduced, but overall system performance deteriorates due to lack of coordination on fronthaul and backhaul link optimization
Solution Approach 1:
A central trajectory controller serves as an intermediary that coordinates trajectories of multiple moving cells to simultaneously optimize both fronthaul links (to terminal devices) and backhaul links (between cells), achieving high data transmission rates through coordinated movement while centralizing the computational complexity of multi-cell optimization
Solution Approach 2:
The system dynamically changes trajectory parameters of multiple moving cells based on real-time channel conditions and terminal positions, with the central controller optimizing parameters such as cell positions, velocities, and acceleration to maximize overall system productivity while managing the complexity of coordinating multiple variable parameters
Data Source
AI summary
A local server includes a controller configured to select a processing function for processing offload, and receive, from a traffic filter, target data that originates from a local network; and a processing platform comprising one or more processors and configured to apply the processing function to the target data to obtain processed data; and wherein the controller is further configured to send the processed data to a remote server for remote processing.