A Genetic Algorithm for Solving the Radio Network Planning Problem in 5G Cellular Networks

Yosra Benchaabene, Noureddine Boujnah, Faouzi Zarai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The next generation of telecom networks, the Fifth generation (5G) have started hitting the market end of 2018 and will continue expand worldwide, introducing new features, higher data rates(up to 1Gbps) as well as massive IoT(Internet of Things) and the inclusing of artificial intelligence (AI) and its sub categories like machine learning and deep learning to solve many problem such as the radio network planning problem. While most existing research focuses on the use of deterministic algorithms, or meta-heuristic algorithms with a single objective, this paper exploits the power of genetic algorithm in addition to achieving multiple objective genetic algorithm (MOGA): to minimize cost and interference and to maximize user coverage. The experimental results prove that the use of genetic algorithm with stochastic universal selection is quite efficient in achieving those objectives, as well as, reaching a near optimal solution in a short infinite time.

Original languageEnglish
Title of host publication2020 IEEE/ACS 17th International Conference on Computer Systems and Applications, AICCSA 2020
PublisherIEEE
ISBN (Electronic)9781728185774
DOIs
Publication statusPublished - Nov 2020
Externally publishedYes
Event17th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2020 - Virtual, Antalya, Turkey
Duration: 02 Nov 202005 Nov 2020

Publication series

NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume2020-November
ISSN (Print)2161-5322
ISSN (Electronic)2161-5330

Conference

Conference17th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2020
Country/TerritoryTurkey
CityVirtual, Antalya
Period02/11/202005/11/2020

Keywords

  • Fifth Generation (5G) Radio Network Planning (RNP)-Genetic Algorithm (GA)-Quality Of Services(QOS)

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