Speed-Aware Frequency Band Selection for Fewer UE Handovers
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Solution Overview
Problem
Existing wireless communication systems fail to account for the speed of communication devices, particularly high-speed UEs, leading to frequent cell handovers, increased battery consumption, and signaling overhead due to inefficient frequency band selection.
Innovation Solution
A communication system that monitors UE speed and selects frequency bands tailored to optimize data communication performance by using low-frequency bands for long-distance coverage and minimizing handovers, while adjusting to higher frequency bands for low latency and reliability based on UE speed and service needs, employing AI and machine learning for optimized frequency band scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If low-frequency bands are used for long-distance coverage, then handover frequency is reduced, but data transmission capacity decreases
Solution Approach 1:
The patent implements dynamic frequency band selection that adapts to UE speed conditions. The system transitions from static frequency allocation to dynamic adjustment, selecting low-frequency bands when UE speed is high (to reduce handovers) and high-frequency bands when UE speed is low (to maximize data capacity). This dynamic adaptation resolves the contradiction by making the system flexible rather than fixed.
Solution Approach 2:
The patent changes the frequency band parameter based on UE speed conditions. The network controller monitors UE speed and adjusts the operating frequency band accordingly, transforming the frequency parameter from a fixed value to a variable that responds to motion conditions, thereby optimizing both handover frequency and data transmission capacity under different scenarios.
2Productivity
If high-frequency bands are used for high data transmission, then data capacity increases, but handover frequency increases due to shorter coverage distance
Solution Approach 1:
The system dynamically adjusts frequency band selection based on real-time UE speed monitoring. When UE speed is detected as high, the system automatically switches to low-frequency bands to reduce handover frequency. When UE speed is low, it switches to high-frequency bands to maximize data transmission capacity. This dynamic behavior eliminates the need for manual configuration and optimizes performance adaptively.
Solution Approach 2:
The patent implements a feedback mechanism where the network controller continuously monitors UE speed and uses this information to adjust frequency band selection. The feedback loop ensures that the system responds to changing motion conditions in real-time, selecting the appropriate frequency band to balance data capacity and handover frequency based on current UE velocity.
3Reliability
If frequent cell handovers occur for high-speed UEs, then coverage is maintained, but battery consumption increases
Solution Approach 1:
The patent applies preliminary action by proactively selecting low-frequency bands for high-speed UEs before handovers become necessary. The network controller predicts the need for reduced handovers based on UE speed detection and pre-configures the appropriate frequency band, preventing excessive handovers and their associated energy consumption before they occur.
Solution Approach 2:
The system changes the frequency band parameter in response to UE speed conditions to optimize the balance between coverage continuity and energy consumption. By adjusting the frequency parameter dynamically, the system maintains reliable coverage for high-speed UEs while minimizing the battery drain caused by frequent handovers.
4Device complexity
If traditional frequency band selection is used without speed awareness, then system complexity is low, but signaling overhead increases due to frequent handovers
Solution Approach 1:
The patent introduces a feedback-based frequency selection mechanism where the network controller monitors UE speed and adjusts frequency band assignment accordingly. This feedback loop adds intelligent decision-making capability that reduces signaling overhead by minimizing unnecessary handovers, justifying the increased system complexity through significant operational efficiency gains.
Solution Approach 2:
The system implements self-service by automatically monitoring UE speed and selecting appropriate frequency bands without requiring manual intervention or complex external control. The network controller autonomously adjusts frequency allocation based on detected motion conditions, reducing signaling overhead through intelligent self-management while maintaining manageable system complexity.
Data Source
AI summary
Speed and service aware frequency band selection processes for mobility networks are described. In one embodiment, a system can comprising a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations comprise selecting a frequency band for performance of data communication between a communication device (CD) and network equipment of a communication network based on a speed of the CD, and instructing the CD to employ the frequency band for the data communication based on the selecting. In various embodiments, the selecting is responsive to the speed exceeding a threshold speed indicating the CD moving a high speed and the selected frequency band comprises a low frequency band tailored for data communication at the high speed. The frequency band selection can also account for other contextual criteria associated with the CD, including services/applications used, location, and route/trajectory of the device.