Apparatus and method for designing a grid-of-beams using machine learning

US11546040B2 · kind B2 · utility

Assignee

• NOKIA SOLUTIONS AND NETWORKS OY · FI

Inventors

• Deepak Nayak · Kanchinakote, IN
• Chandrashekhar Thejaswi · Kanchinakote, IN
• Suresh Kalyanasundaram · Kanchinakote, IN
• Rajeev Agrawal · Naperville, US
• Hua Xu · 安丰镇, CN
• Anand Bedekar · Arlington Heights, US
• Veronique Capdevielle · Magny-Village, FR
• Claudiu Mihailescu · Versailles, FR
• Boris Kouassi · Massy, FR
• Afef FEKI · Sceaux, FR

Key dates

• Filing date: Sep 13, 2018
• Grant date: Jan 3, 2023
• Expiry date: Sep 13, 2038

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04B17/309
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment.