Cluster-Based Beamforming for 5G Network Energy Reduction

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Solution Overview

Problem

Current 5G wireless network technologies require complex computations to generate highly directional beams for individual devices, leading to increased energy consumption and computational intensity, making them less efficient compared to broader, less directional beams.

Innovation Solution

The implementation of a system that precomputes beam parameters for clusters of devices with similar characteristics, allowing for the selection of a predetermined device cluster model based on current or predicted key performance indicators (KPIs) to generate tailored beams with adaptable directionality, reducing real-time computation and energy consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If highly directional beams are generated for individual devices, then service reliability and speed are improved, but computational complexity and energy consumption increase significantly

Engineering Contradiction:
Improvewireless service reliabilityVSAvoidcomputation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple individual device beams into cluster-based beams. Devices with similar channel characteristics are grouped into clusters, and a single beam is formed to serve multiple devices simultaneously. This reduces the total number of beams from N (for N individual devices) to M (for M clusters where M < N), thereby reducing computational complexity while maintaining service reliability through clustered coverage.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates universal beamforming templates that can serve multiple devices with similar characteristics. Instead of computing unique beams for each device, a single beamforming template is designed to accommodate multiple devices within a cluster, making the beamforming process multi-functional and reducing overall computational burden.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If highly directional beams are generated for individual devices, then service speed and reliability are improved, but energy consumption increases

Engineering Contradiction:
Improvewireless service reliabilityVSAvoidbase station energy consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent combines multiple individual beamforming computations into a single cluster-based beamforming operation. By serving multiple devices through shared cluster beams, the base station reduces the total energy required for beamforming computations and radio resource management, while maintaining reliable service through the clustered approach.

Inventive Principle:
Principle #5Merging (Combining)

3Device complexity

If broader coverage beams are used for multiple devices, then computational complexity is reduced, but service speed and reliability deteriorate

Engineering Contradiction:
Improvecomputation complexityVSAvoidwireless service reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent applies local quality by creating different beam types for different clusters based on their specific characteristics. Instead of using a single uniform broad beam for all devices, the system computes cluster-specific beamforming templates that are optimized for local device groups, providing targeted coverage that maintains reliability while reducing overall computational complexity compared to individual device beams.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS10979913B2Wireless network coverage based on a predetermined device cluster model selected according to a current key performance indicator
Publication Date: 2021.04.13 AT&T INTELLECTUAL PROPERTY I L P
  • US10979913B2 patent drawing
  • US10979913B2 patent drawing
  • US10979913B2 patent drawing

AI summary

Adapting wireless network coverage areas according to beam parameters corresponding to predetermined radio cluster models is disclosed. The disclosed subject matter can enable determining cluster models corresponding to historic use of a wireless network, e.g., based on historical KPIs, etc., from UEs, RAN devices, antennas, and other sources. The cluster models can correspond to beam parameters. The cluster model of the cluster models can be selected based on a current KPI value, e.g., a real-time or near real-time wireless network measurement, e.g., from a UE, RAN device, antenna, etc. Beam parameters corresponding to the selected cluster model can be communicated to a RAN device which can generate a corresponding radio beam. In an aspect, this can provide wireless connectivity to clusters of devices in the area of the radio beam, wherein the devices of the clusters can, in some embodiments, share same or similar wireless network demands.