.mat .py

Smart Joint Scheduling and Resource Management Guaranteeing Information Freshness with Proactive Energy Harvesting in D2D Networks

we evaluate resource management in device-to-device (D2D) networks that can coexist with mobile cellular user equipments (CUEs). Moreover, a new smart model for joint scheduling and resource management for D2D networks is presented.

Categories:: Artificial Intelligence
Communications

202 Views

CODES OF PAPER: E2E Resilient and Proactive Resource Management with Network Slicing

Intelligence and flexibility are the two main requirements for next-generation networks that can be implemented in network slicing (NetS) technology.This intelligence and flexibility can have different indicators in networks, such as proactivity and resilience. In this paper, we propose a novel proactive end-to-end (E2E) resource management in a packet-based model, supporting NetS.

Categories:: Artificial Intelligence
Signal Processing
Communications

181 Views

PEN-FWI network executable files and datasets

The dataset introduces a novel physics-embedded deep learning neural network for accelerating traditional FWI algorithms, thereby reducing the required imaging time while overcoming the challenge of needing a high-quality initial model for traditional FWI inversion. The provided dataset includes training, validation, and testing sets, along with executable files related to PEN-FWI network training and validation.

Artificial Intelligence

Brain

Submitted On:

Thu, 11/09/2023 - 21:01

Last Updated On:

Thu, 11/09/2023 - 22:10