Handover Optimization via Throughput Estimation in LTE-HSPA Networks
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Solution Overview
Problem
Controlling handovers during carrier aggregation between different wireless communication systems, such as LTE and HSPA, is challenging due to the delay caused by inter-system measurements based on Radio Resource Control (RRC) signaling, which does not provide direct data rate information, leading to suboptimal handover timing.
Innovation Solution
Implementing a method where the master node, such as an eNodeB, estimates throughput and channel quality information to determine if a handover to another system is beneficial, allowing for quicker handover triggering and more efficient resource utilization by signaling through existing communication channels, thereby bypassing the need for RRC measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inter-system measurements based on RRC signaling are used for handover control, then measurement accuracy is improved, but handover time is increased
Solution Approach 1:
The system performs preliminary throughput estimation and channel quality assessment using available signaling information before initiating the handover process. The master node evaluates whether handover would be beneficial based on current measurements and predictions, preparing handover candidates in advance to reduce actual handover execution time.
Solution Approach 2:
The invention introduces an intermediary evaluation mechanism that uses throughput estimation and channel quality information as intermediate metrics to predict post-handover performance. This intermediary assessment layer enables faster handover decisions by using available signaling data to predict outcomes without requiring complete inter-system measurement cycles.
2Reliability
If RRC signaling measurements are performed for handover decisions, then measurement reliability is improved, but data stream interruptions are increased
Solution Approach 1:
The system performs preliminary evaluation of handover benefit using throughput estimation and channel quality information before triggering actual handover. This preliminary action identifies suitable handover candidates in advance, ensuring that handovers are initiated only when conditions favor minimal data stream interruption while maintaining measurement reliability.
Solution Approach 2:
The master node uses feedback from channel quality information and throughput estimates to continuously evaluate handover benefit. This feedback mechanism allows the system to make informed handover decisions that balance measurement reliability with minimal data stream interruption, adjusting handover timing based on real-time channel conditions.
Data Source
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AI summary
Apparatus and method for communication are provided. The solution comprises controlling (202) a first transceiver of a first communication system and a second transceiver of a second communication system to transmit data to user equipment; estimating (206) available throughput of connections with the first and second transceiver; determining (208) on the basis of differences between the estimated throughputs whether it would be beneficial to use only the second transceiver to transmit data to the user equipment.