Load Balancing via Predictive RSRQ in Communication Networks
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Solution Overview
Problem
Communication networks face challenges in balancing load across cells due to random, time-varying, and burst-like data transactions, leading to uneven loads and reduced quality of service (QoS) and quality of experience (QoE).
Innovation Solution
The system characterizes the quality of signal reception by computing a reference signal received quality (RSRQ) value based on resource blocks available and allocated to communication devices, and uses this value to direct communication sessions and manage resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If handover is used to transfer communication sessions between cells to achieve load balance, then load balance between cells is improved, but network efficiency deteriorates due to resource consumption and degraded QoS during handover
Solution Approach 1:
The system performs preliminary actions by proactively transferring communication sessions from cells that are predicted to become overloaded in the near future to cells with sufficient capacity. This prediction-based approach prevents load imbalance before it occurs, reducing the need for reactive handovers and associated resource consumption.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring cell load conditions and using this information to make intelligent handover decisions. The network entity receives load information from multiple cells and uses this feedback to determine optimal session transfers, thereby achieving load balance while minimizing unnecessary handovers and resource usage.
2Productivity
If frequent handovers are performed to maintain load balance, then load balance is improved, but quality of service deteriorates due to repeated transfer operations
Solution Approach 1:
By predicting future load conditions and performing handovers in advance, the system avoids the service degradation associated with reactive handovers. Sessions are transferred during periods of lower activity or to cells with sufficient capacity, minimizing the impact on QoS while maintaining load balance.
Solution Approach 2:
The continuous monitoring and feedback loop enables the system to make informed handover decisions that consider both load balance requirements and QoS implications. The network entity uses feedback from multiple cells to identify optimal transfer opportunities that maintain service quality while achieving load distribution.
3Productivity
If communication sessions are transferred multiple times between cells, then load balance is maintained, but resource consumption increases due to repeated handover operations
Solution Approach 1:
The system performs handovers proactively based on predicted load conditions rather than reacting to actual overload. This approach achieves load balance with fewer total handover operations, as sessions are placed in appropriate cells before load imbalances develop, thereby reducing resource consumption associated with repeated transfers.
Solution Approach 2:
The feedback mechanism enables intelligent decision-making about which sessions to transfer and when, based on real-time and historical load information from multiple cells. This feedback-driven approach optimizes handover selection to achieve load balance while minimizing the number of operations and associated resource usage.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining a first indication of a first count of resource blocks in a first cell in which the device is located, obtaining a second indication of a second count of resource blocks allocated to the device, obtaining a third indication of a reference signal received power (RSRP) value for the device, obtaining a fourth indication of a received signal strength indicator (RSSI) value for the device, computing a first reference signal received quality (RSRQ) value for the device based on the first indication, the second indication, the third indication, and the fourth indication, and transmitting a fifth indication of the first RSRQ value. Other embodiments are disclosed.