Enhancement of LTE and NR systems through efficient physical cell identity allocation
Samar I. Farghaly, Hala M. Khayal, Ibrahim M. Algohary, Mahmoud A. Eissa, Marwan H. Elsheikh, Passant E. Alnashar, Rana S. Alfakhrany, Roqaya S. Alkhuoty, Ahmed S. Abo-Alsayed
TL;DR
This paper improves mobile network performance by optimizing how cell identities are assigned to reduce interference and improve reliability.
Contribution
The paper introduces advanced automated methods like graph coloring and clustering for efficient PCI allocation in LTE and NR systems.
Findings
Modern techniques reduce identity conflicts by up to 80% compared to traditional strategies.
Signal quality and handover success rates improve significantly with the proposed methods.
Metaheuristic approaches like BRKG and ILP generate near-optimal PCI plans in complex networks.
Abstract
As mobile communication systems continue to evolve to support higher data rates, ultra-low latency, and greater reliability, the effective management of Physical Cell Identities (PCI) becomes increasingly important. The pool of available identifiers is limited—504 in fourth-generation networks and 1008 in fifth-generation networks—so reuse of these identities is unavoidable. Improper reuse can lead to collisions and confusion, resulting in interference, failed handovers, and reduced network throughput. This work addresses these challenges by exploring advanced automated techniques for optimizing PCI. We model the network as a graph, where each cell is represented as a vertex and interference relationships between cells are represented as edges. Using this approach, we implement graph coloring algorithms, including a maximum degree first coloring method, to efficiently assign identifiers…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Data and IoT Technologies · IoT Networks and Protocols