Mobile Radio Head Positioning for mmWave Network Capacity

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Solution Overview

Problem

The increasing density of radio heads in New Radio (NR) mmWave networks leads to higher energy consumption and inefficient use of resources due to smaller mobile radio cell radii, with many static radio heads being idle most of the time and not meeting high demand for mm-wave bandwidth communication.

Innovation Solution

Deploying unmanned aerial or ground vehicles equipped with mobile radio head circuitry and base station functionality to dynamically optimize the positioning of mobile radio heads, allowing for flexible extension of radio coverage and improved network planning, using AI-based optimization algorithms to match changing traffic patterns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If density of radio heads is increased to serve smaller mobile radio cells, then coverage capacity is improved, but energy consumption increases and resource efficiency deteriorates

Engineering Contradiction:

Improvemobile radio cell coverage areaVSAvoidenergy consumption of radio heads

Core Design Contradiction:

Area of stationary objectVSUse of energy by moving object

Solution Approach 1:

The patent applies the dynamics principle by transitioning from static radio heads to mobile radio heads mounted on vehicles (aerial or ground). These mobile radio heads can dynamically reposition themselves based on real-time network traffic patterns and demand, allowing the system to concentrate resources where needed and reduce energy consumption in idle areas, thus resolving the contradiction between coverage capacity and energy efficiency

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes the state of radio heads from fixed stationary units to mobile units that can alter their physical position parameters. This enables the system to adapt the location parameter of radio heads according to network conditions, optimizing the balance between coverage area and energy consumption by deploying radio heads closer to actual user demand centers

Inventive Principle:

Principle #35Parameter changes

2Productivity

If higher density of mobile radio cells is deployed, then network capacity is improved, but resource efficiency deteriorates due to idle radio heads

Engineering Contradiction:

Improvenetwork capacityVSAvoidenergy waste from idle radio heads

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

Mobile radio heads on vehicles can dynamically adjust their positions based on real-time network traffic patterns, allowing the system to maintain high network capacity while avoiding the deployment of excessive static radio heads. The dynamic repositioning enables the system to concentrate capacity resources where traffic demand exists and reduce or idle resources where demand is low, eliminating the trade-off between capacity and energy efficiency

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms where network traffic patterns are continuously monitored and used to guide the repositioning of mobile radio heads. This feedback loop enables the system to respond to changing network conditions in real-time, optimizing resource allocation to match actual demand and preventing energy waste from idle radio heads while maintaining necessary network capacity

Inventive Principle:

Principle #23Feedback

3Area of stationary object

If static radio heads are deployed to provide coverage, then network coverage is improved, but adaptability to changing traffic patterns deteriorates

Engineering Contradiction:

Improveradio coverage areaVSAvoidadaptability to traffic patterns

Core Design Contradiction:

Area of stationary objectVSAdaptability or versatility

Solution Approach 1:

The patent replaces static radio head deployments with mobile radio heads mounted on vehicles that can dynamically reposition themselves. This dynamic capability allows the system to adapt to changing traffic patterns by moving radio heads closer to areas with increasing demand, thereby maintaining comprehensive coverage while significantly improving adaptability to temporal and spatial variations in network traffic

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system uses predictive algorithms and historical data to anticipate future traffic patterns and proactively reposition mobile radio heads before demand spikes occur. This preliminary action enables the system to prepare resource allocation in advance, maintaining optimal coverage and adaptability without requiring reactive adjustments after traffic conditions change

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20230298471A1Aerial vehicle, device to determine a target location, static base station device and docking station for a vehicle

Publication Date: 2023.09.21 INTEL CORP

AI summary

Various aspects of this disclosure provide an aerial vehicle. The aerial vehicle may include a flight controller configured to control flight components of the aerial vehicle, and a radio access network base station radio head configured to allocate one or more radio resources for one more radio communication terminal devices to operate a radio cell in accordance with a mobile radio wide area network technology.