Nokia technologies oy (20240297695). SPATIAL QUANTIZATION FOR SPHERICAL COVERAGE OF USER EQUIPMENT simplified abstract

SPATIAL QUANTIZATION FOR SPHERICAL COVERAGE OF USER EQUIPMENT

Organization Name

nokia technologies oy

Inventor(s)

Mihai Enescu of Espoo (FI)

SPATIAL QUANTIZATION FOR SPHERICAL COVERAGE OF USER EQUIPMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240297695 titled 'SPATIAL QUANTIZATION FOR SPHERICAL COVERAGE OF USER EQUIPMENT

The present disclosure pertains to wireless communications, specifically focusing on spatially quantizing a spherical coverage of a User Equipment (UE) for beamforming in a wireless communication system.

• UE transmits location information and antenna parameter measurements to the network node.
• Network node obtains a signal model based on UE location information and antenna parameter measurements.
• Signal model guides the transmission of reference signals from the network node to the UE, optimizing signal reception.

Potential Applications: - Enhanced beamforming in wireless communication systems. - Improved signal transmission efficiency. - Increased network capacity and coverage.

Problems Solved: - Addressing signal interference and optimizing signal reception. - Enhancing overall network performance and efficiency.

Benefits: - Improved signal quality and reliability. - Enhanced network performance and capacity. - Better user experience with optimized signal transmission.

Commercial Applications: Title: "Advanced Beamforming Technology for Wireless Communication Systems" This technology can be utilized in 5G networks, IoT devices, smart cities, and other wireless communication applications. It can benefit telecommunications companies, network operators, and device manufacturers looking to enhance their services.

Prior Art: Researchers can explore existing patents related to beamforming, spatial quantization, and signal optimization in wireless communication systems to understand the evolution of this technology.

Frequently Updated Research: Stay updated on advancements in machine learning algorithms, data processing techniques, and beamforming technologies in wireless communications to leverage the latest innovations in this field.

Questions about Wireless Communication Beamforming: 1. How does spatial quantization improve beamforming efficiency in wireless communication systems? 2. What are the key challenges in implementing advanced beamforming techniques in real-world networks?

Original Abstract Submitted

the present disclosure relates generally to the field of wireless communications and, in particular, to techniques for spatially quantizing a spherical coverage of a user equipment (ue) and using the spatially quantized spherical coverage in beamforming at the ue and a network node in a wireless communication system. to this end, the ue transmits, to the network node, location information of the ue and antenna parameter measurements which are taken at least one time in at least one spatial section of the spatially quantized spherical coverage. the network node obtains a signal model based on the ue location information and the antenna parameter measurements. the signal model may be obtained by using a data processing algorithm, e.g., a machine learning algorithm. the signal model is indicative of how reference signals are to be transmitted from the network node to the ue. by so doing, it is possible to optimize the transmission of the reference signals from the network node to the ue, since the network node knows which of the spatial sectors of the spatially quantized spherical coverage of the ue is most suitable for their reception.