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Found 7 papers, 0 papers with code
A Region-Shrinking-Based Acceleration for Classification-Based Derivative-Free Optimization
Derivative-free optimization algorithms play an important role in scientific and engineering design optimization problems, especially when derivative information is not accessible.
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Fast and reliable wireless communication has become a critical demand in human life.
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning
A deep reinforcement learning algorithm is designed to jointly optimize the access and backhaul antenna tilt as well as the three-dimensional location of the UAV-BS in order to best serve the on-ground MC users while maintaining a good backhaul connection.
5G New Radio for Public Safety Mission Critical Communications
Driven by increasing demands on connectivity to improve safety, situational awareness and operational effectiveness for first responders, more and more public safety agencies are realizing the need of modernization of their existing non-3GPP networks.
Networking and Internet Architecture
An Overview of 5G System Accessibility Differentiation and Control
5G system is characterized by its capability to support a wide range of use cases and services.
Networking and Internet Architecture Systems and Control Systems and Control
Hybrid Precoding in Cooperative Millimeter Wave Networks
Considering joint transmissions and BS silence strategy, we propose hybrid precoding algorithms which minimize the sum power consumption of the base stations (BSs), for both fully- and partially-connected hybrid precoding (FHP and PHP, respectively) schemes, for single-carrier and orthogonal frequency-division multiplexing systems.
Rare geometries: revealing rare categories via dimension-driven statistics
The first is a general lack of labeled examples of the rare class and the second is the potential non-separability of the rare class from the majority (in terms of available features).
