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The Physical Cell Identity Assignment Problem: A Practical Optimization Approach
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AI
DOI：10.1109/TEVC.2022.3185927.png)
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Abstract
En 中文
The physical cell identity (PCI) is a critical parameter to radio access networks used by the user equipment, like a smartphone, to identify the cell to connect. The PCI misassignment leads to call drops, no voice/data connections, and other sorts of impairments. Many works in the literature only treat the PCI assignment problem from the technological constraints viewpoint. In this work, we take a realistic approach and incorporate several operational constraints found daily in carrier-grade networks. For that, we model the problem with multiple objectives with a strict lexicographical dominance relation. We solve it using a hybrid memetic algorithm with warm start solutions obtained by a constraint programming solver and intensification with path-relinking and custom local search procedures. The experimental results suggest that our approach is superior to commercial solver packages in several scenarios.
Keywords:
Optimization
5G mobile communication
Programming
Linear programming
Interference
Handover
Production
5G
multiobjective optimization
physical cell identity (PCI)
Journal
IF:
12
Papers:
1.8K
Citations:
2.4W