Network Coordinator Global Optimization Cellular Link Associations
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Solution Overview
Problem
Current cellular access networks face inefficiencies in load balancing due to sub-optimal association decisions between terminal devices and access nodes, which are made locally and cannot accurately match changing capacity and demand over time, leading to potential overloading issues.
Innovation Solution
A global optimization process is implemented using a network coordinator apparatus that collects measurement data on link conditions and simulates changes in associations between access nodes and terminal devices to determine the most efficient distribution, employing algorithms like simulated annealing to iteratively optimize associations and reduce computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If local association decisions are made in access nodes based on best link condition, then link availability is ensured, but load balancing becomes sub-optimal
Solution Approach 1:
A global optimization server is introduced as an intermediary between access nodes and terminal devices. This server collects measurement data from multiple access nodes, performs centralized optimization calculations to determine optimal associations, and sends handover instructions back to access nodes. This intermediary enables global load balancing while maintaining local link availability.
Solution Approach 2:
The system transitions from local two-dimensional decision-making (single access node evaluating its own connections) to a global multi-dimensional optimization approach. The global server considers associations across multiple access nodes and terminal devices simultaneously, adding spatial and temporal dimensions to the optimization problem to achieve better load balancing.
2Productivity
If hot spots are deployed to address overloading areas, then local capacity is increased, but it is impossible to exactly match changing capacity and demand
Solution Approach 1:
The system implements dynamic association optimization by continuously collecting measurement data, re-evaluating optimal associations, and issuing updated handover instructions. This dynamic approach allows the network to adapt to changing capacity and demand conditions in real-time, unlike static hot spot deployments.
Solution Approach 2:
The global optimization server establishes a feedback loop where measurement data from access nodes and terminal devices is continuously collected, used to recalculate optimal associations, and then implemented through handover instructions. This closed-loop feedback system enables the network to automatically adjust to changing conditions and exactly match capacity with demand.
3Productivity
If global optimization is implemented with iterative algorithms, then association efficiency is improved, but computational complexity increases
Solution Approach 1:
The global optimization problem is segmented into smaller sub-problems that can be solved iteratively. The optimization server divides the large-scale association optimization into manageable iterations, where each iteration optimizes a subset of associations. This segmentation reduces the computational burden of solving the entire problem at once while still achieving global optimization.
Solution Approach 2:
The system performs partial optimization actions in each iteration rather than attempting complete optimization in a single step. Each iteration makes partial progress toward the global optimum by optimizing a subset of associations, gradually converging to the optimal solution without requiring excessive computational resources in any single step.
Data Source
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AI summary
This document discloses a solution for optimizing performance of a cellular communication system. According to an aspect, a method comprises: acquiring (200), by a network coordinator apparatus, measurement data indicating link conditions between the access nodes and terminal devices served by the access nodes of a cellular communication system; building (202), by the network coordinator apparatus, a globally optimized operating model on the basis of the measurement data by at least simulating (204) a change in at least one association between the access nodes and the terminal devices and determining, on the basis of the measurement data, an effect of the simulated change on overall performance of the cellular communication system; and upon completing said building, transmitting by the network coordinator apparatus one or more handover instructions (206) for handover of an association of one or more of the terminal devices according to the built operating model.