Autonomous Frequency Band Detection for Wireless Devices
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Solution Overview
Problem
Existing communication devices inefficiently scan and connect to frequency bands, leading to suboptimal resource utilization and increased power consumption.
Innovation Solution
A method that involves analyzing data to identify optimal times for scanning and connecting to higher-priority frequency bands, based on parameters such as signal strength, battery level, and mobility, allowing for autonomous detection and allocation to higher-capacity carriers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the communication device performs scanning and measurement procedures to identify and connect to higher-priority frequency bands, then the quality of experience for users is improved, but power consumption and resource utilization increase
Solution Approach 1:
The network element autonomously detects and identifies higher-priority frequency bands without requiring the communication device to perform energy-consuming scanning procedures. The network element uses received signaling messages to determine available frequency bands and proactively provides recommendations to the communication device, allowing the device to connect to optimal bands without exhaustive scanning.
Solution Approach 2:
The network element performs frequency band identification and analysis in advance, before the communication device needs to connect. By pre-analyzing the radio environment and identifying suitable higher-priority frequency bands, the network element eliminates the need for the device to perform time-consuming and energy-intensive scanning procedures at the moment of connection need.
2Reliability
If the communication device performs repetitive scanning and measurement procedures, then connection to optimal frequency bands is achieved, but resource consumption at network infrastructure increases
Solution Approach 1:
The network element takes responsibility for frequency band identification and recommendation, eliminating the need for repetitive scanning procedures that generate overhead signaling traffic. The network element autonomously analyzes the radio environment using existing signaling messages and provides actionable recommendations to the communication device.
Solution Approach 2:
The communication device sends measurement reports and signaling messages to the network element, which analyzes this feedback information to identify optimal frequency bands. This feedback mechanism allows the network element to make informed decisions about frequency band allocation without requiring the device to perform exhaustive scanning.
3Productivity
If the communication device autonomously determines when to scan for frequency bands, then resource consumption is reduced, but the complexity of decision-making increases
Solution Approach 1:
The network element performs the complex analysis and decision-making regarding frequency band selection, using received signaling messages to determine optimal bands. The communication device simply receives recommendations from the network element and executes connections, avoiding the complexity of autonomous frequency band decision-making while still achieving resource efficiency.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining a first portion of a communication service via a first signal having a first frequency within a first band of frequencies, subsequent to the obtaining of the first portion of the communication service, obtaining data associated with a plurality of parameters, analyzing at least the data to identify when a scan for a second signal having a second frequency within a second band of frequencies should be performed, wherein the second band of frequencies is different from the first band of frequencies, and scanning for the second signal based on the analyzing. Other embodiments are disclosed.