3 results about "Cross-layer optimization" patented technology

The application discloses a federated continual learning cross-layer optimization method for a UAV relay network, and aims at the problems of easy occurrence of catastrophic forgetting of a model and high system time delay in a streaming task training scene.The application constructs a system architecture comprising a base station, a UAV and a plurality of ground clients; a task stability index is obtained by calculating the gradient similarity between a current task and a historical task of a client, and a system efficiency index is obtained by combining the client computing time delay and the communication time delay, so as to jointly select a target client participating in aggregation; in order to anchor historical knowledge, local compensation updating is performed at the client side based on the historical task gradient, and post-aggregation compensation correction is performed at the base station side based on the historical global gradient; and a cross-layer optimization model about the client computing frequency, bandwidth allocation, UAV trajectory and relay strategy is further established to minimize the maximum completion time delay of the system. The application can improve the model learning precision, reduce catastrophic forgetting and reduce the training time delay.

This invention provides a method, apparatus, system, terminal, and storage medium for 3D scene reconstruction. The method includes: responding to a rendering task execution command, acquiring the current field of view of several user terminals, and evaluating the rendering task volume within the current field of view of each user terminal; based on the rendering task volume, modeling a cross-layer optimization problem based on end-to-end latency and rendering quality constraints with the goal of minimizing system energy consumption; solving the cross-layer optimization problem to obtain optimization variables, including a target rendering model selected from a set of candidate rendering models; and based on the optimization variables, distributing the rendering task to several distributed nodes so that the distributed nodes can perform collaborative rendering to reconstruct the 3D scene. This application, by considering the differences in field of view, constructs a cross-layer optimization problem and ensures that end-to-end latency and rendering quality constraints are met, reduces the energy consumption of the rendering task and solves the resource optimization problem of distributed 3D reconstruction.