Carrier Frequency Removal Prediction via Handoff Analysis
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Solution Overview
Problem
Wireless communication systems face challenges in efficiently removing overlay carrier frequencies without negatively impacting network performance, as the removal can lead to increased hard handoffs and dropped calls, affecting user experience and increasing costs.
Innovation Solution
A method is introduced to predict the impact of removing a carrier frequency by analyzing past data on handoffs, determining the conversion of soft handoffs to hard handoffs and vice versa, and calculating a net change in hard handoffs, which is correlated with potential dropped calls to decide whether to remove the frequency based on a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If an overlay carrier frequency is removed from a cell site to reduce costs, then operational costs (power, infrastructure, licensing) are reduced, but the number of hard handoffs increases leading to dropped calls and degraded user experience
Solution Approach 1:
The system performs preliminary analysis of handoff data and predicts the impact of carrier frequency removal before actually removing the frequency. By evaluating historical soft handoff rates, hard handoff rates, and network topology in advance, the system can identify whether removing a carrier will cause unacceptable increases in hard handoffs and dropped calls, thus preventing reliability degradation before it occurs.
Solution Approach 2:
The system continuously monitors handoff performance metrics and uses this feedback to make intelligent decisions about carrier frequency removal. By analyzing actual handoff data and comparing it against thresholds for acceptable performance degradation, the system can dynamically adjust carrier frequency allocation to balance cost reduction with maintaining call continuity.
2Productivity
If carrier frequency removal is performed without analysis to maximize cost reduction, then operational expenses are minimized, but network performance deteriorates due to increased hard handoffs
Solution Approach 1:
The system performs preliminary evaluation of handoff data and predicts the impact of carrier frequency removal before implementation. By analyzing historical soft handoff rates, hard handoff rates, and network topology in advance, the system can identify whether removing a carrier will cause unacceptable increases in hard handoffs and dropped calls, thus preventing network performance deterioration before it occurs.
Solution Approach 2:
The system changes the operational parameters of carrier frequencies based on analyzed handoff patterns and network conditions. By adjusting which carriers are active or inactive in different cell sites based on measured performance metrics, the system optimizes the balance between cost efficiency and network reliability dynamically rather than using fixed rules.
Data Source
AI summary
Disclosed herein is a method to condition removal of a carrier frequency from a wireless coverage area. The method involves evaluating handoff statistics for the coverage area, and applying results of past carrier frequency removal (preferably from a morphologically similar cluster) to predict a net change in hard handoffs that will result if the carrier frequency is removed. The method then involves using the predicted net change in hard handoffs as a basis to determine whether to remove the carrier frequency. For instance, the predicted net change in hard handoffs may be converted to a corresponding predicted net change in call drops, and the carrier frequency may be removed only if the predicted net change in call drops does not exceed a threshold.