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https://doi.org/10.24138/jcomss.v16i3.1012

Frequency Plan Optimization Based on Genetic Algorithms for Cellular Networks

Hicham Megnafi ; University of Tlemcen and Higher School in Applied Sciences (ESSATlemcen), Algeria


Puni tekst: engleski pdf 1.687 Kb

str. 217-223

preuzimanja: 903

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Sažetak

Cellular networks are constantly evolving to ensure
a better Quality of Service (QoS) and quality of coverage ever
more important. The radio cellular systems are based on
frequency allocation. In this context, frequency allocation
principle consists in choosing an optimal frequency plan to meet
traffic demand constraints and communication quality while
minimizing the radio interferences. This paper proposes an
optimal frequency allocation approach based on genetic
algorithms to minimize co-channel and adjacent channel
interference. The validation of this new approach is confirmed by
the results of the work we have done in the GSM network. In
fact, we used the file obtained by the OMC-R, which defines the
adjacent cells of each cell and the frequencies allocated to the
considered area. The results obtained clearly show the
effectiveness and robustness of the approach used.

Ključne riječi

cellular networks, radio optimization, frequency allocation, radio interference, genetic algorithms, drive test.

Hrčak ID:

243980

URI

https://hrcak.srce.hr/243980

Datum izdavanja:

30.9.2020.

Posjeta: 1.474 *