Handover Initiation for Cellular Network Load Balancing
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Solution Overview
Problem
In mobile communication systems, especially in scenarios with mobile base stations and relays, there is a challenge in managing network capacity and reliability due to thin uplinks and uneven load distribution among base stations, leading to congestion and poor service quality for users.
Innovation Solution
Implementing a system that uses random, round-robin, or load-dependent schemes for handover initiation between serving nodes, including mobile relays and base stations, to balance the distribution of mobile communicators and enhance bandwidth utilization and signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If handover initiation is performed using conventional schemes, then mobile communicators can be served by base stations, but network capacity is limited and load distribution is uneven
Solution Approach 1:
The patent implements dynamic handover initiation schemes including random, round-robin, and load-dependent methods that adaptively assign mobile communicators to serving nodes. The system dynamically adjusts handover decisions based on current network conditions, node load states, and communication requirements, transforming static assignment into dynamic resource allocation that optimizes network capacity utilization.
Solution Approach 2:
The patent changes key parameters including handover initiation timing, selection criteria, and node assignment strategies. By varying these parameters across different schemes (random selection, round-robin ordering, load-dependent prioritization), the system achieves diverse load distribution patterns that prevent congestion and maximize overall network capacity.
2Productivity
If handover schemes are implemented to balance load distribution, then network capacity improves, but system complexity increases
Solution Approach 1:
The patent segments the handover management function into distinct components: node status monitoring, handover decision logic, and execution control. Each scheme (random, round-robin, load-dependent) represents a separable strategy that can be independently implemented and adjusted, reducing overall system complexity while maintaining capacity improvement benefits.
Solution Approach 2:
The system implements self-service mechanisms where nodes autonomously monitor their own load states and participate in handover decisions without requiring centralized control. This distributed approach reduces management complexity by eliminating the need for complex centralized scheduling algorithms while still achieving balanced load distribution.
3Reliability
If handovers are initiated frequently to improve reliability, then service quality improves, but connection stability may be compromised
Solution Approach 1:
The patent implements periodic handover evaluation and initiation mechanisms that systematically assess connection quality and node availability at scheduled intervals. This periodic action ensures reliable service through regular load balancing while maintaining connection stability by avoiding excessive or premature handovers, striking an optimal rhythm between reliability improvement and stability preservation.
Solution Approach 2:
The system incorporates feedback mechanisms where nodes report their status and quality of service metrics back to the handover control logic. This feedback enables intelligent handover decisions that improve reliability based on actual performance data while avoiding unnecessary handovers that would compromise connection stability, creating a closed-loop control system.
Data Source
AI summary
A mobile communication system including at least one individual mobile communicator in a population of mobile communicators served by a plurality of nodes, including at least one base station; wherein at least one individual mobile communicator is operative to at least once associating itself with a serving node from among the plurality of nodes using a serving node selection functionality operative for selecting the serving node so as to increase use of available bandwidth to and from at least one node which provides the individual communicator with an acceptable signal to noise ratio.