A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS

Emre Gures; Ibraheem Shayea; Ibrahim Yazici; Ayman El-Saleh; Sawsan Ali Saad

doi:10.1109/CAMAD59638.2023.10478376

A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS

Emre Gures^*, Ibraheem Shayea, Ibrahim Yazici, Ayman El-Saleh, Sawsan Ali Saad

^*Corresponding author for this work

Faculty of Electrical and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we propose a novel self-optimization framework that incorporates an automatic weight function for determining Handover Control Parameters (HCP) and utilizes the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm for target cell selection. The proposed algorithm estimates suitable HCP values automatically based on key factors such as Signal-to-Interference-plus-Noise Ratio (SINR), traffic load, and user equipment (UE)'s speed. Additionally, TOPSIS algorithm is employed to select the most suitable target cell based on three evaluation criteria: SINR, Reference Signal Received Power (RSRP), and load level. The performance of the proposed algorithm is evaluated using load level, throughput, and Radio Link Failure (RLF) as key performance indicators (KPIs). Extensive simulations are carried out to assess the performance of the proposed approach. The findings indicate that the proposed algorithm outperforms the existing solutions in terms of load level, throughput, and RLF.

Original language	English
Title of host publication	2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	146-151
Number of pages	6
ISBN (Electronic)	9798350303490
DOIs	https://doi.org/10.1109/CAMAD59638.2023.10478376
Publication status	Published - 2023
Event	2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 - Edinburgh, United Kingdom Duration: 6 Nov 2023 → 8 Nov 2023

Publication series

Name	IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
ISSN (Electronic)	2378-4873

Conference

Conference	2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Country/Territory	United Kingdom
City	Edinburgh
Period	6/11/23 → 8/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

handover
heterogeneous networks
load balancing
mobility management
self-optimization
TOPSIS

Access to Document

10.1109/CAMAD59638.2023.10478376

Cite this

Gures, E., Shayea, I., Yazici, I., El-Saleh, A., & Saad, S. A. (2023). A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 (pp. 146-151). (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD59638.2023.10478376

Gures, Emre ; Shayea, Ibraheem ; Yazici, Ibrahim et al. / A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS. 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 146-151 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

@inproceedings{a3b97ac2d5ab4dbea220079688b06671,

title = "A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS",

abstract = "In this paper, we propose a novel self-optimization framework that incorporates an automatic weight function for determining Handover Control Parameters (HCP) and utilizes the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm for target cell selection. The proposed algorithm estimates suitable HCP values automatically based on key factors such as Signal-to-Interference-plus-Noise Ratio (SINR), traffic load, and user equipment (UE)'s speed. Additionally, TOPSIS algorithm is employed to select the most suitable target cell based on three evaluation criteria: SINR, Reference Signal Received Power (RSRP), and load level. The performance of the proposed algorithm is evaluated using load level, throughput, and Radio Link Failure (RLF) as key performance indicators (KPIs). Extensive simulations are carried out to assess the performance of the proposed approach. The findings indicate that the proposed algorithm outperforms the existing solutions in terms of load level, throughput, and RLF.",

keywords = "handover, heterogeneous networks, load balancing, mobility management, self-optimization, TOPSIS",

author = "Emre Gures and Ibraheem Shayea and Ibrahim Yazici and Ayman El-Saleh and Saad, {Sawsan Ali}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 ; Conference date: 06-11-2023 Through 08-11-2023",

year = "2023",

doi = "10.1109/CAMAD59638.2023.10478376",

language = "English",

series = "IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD",

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Gures, E, Shayea, I, Yazici, I, El-Saleh, A & Saad, SA 2023, A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS. in 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023. IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD, Institute of Electrical and Electronics Engineers Inc., pp. 146-151, 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023, Edinburgh, United Kingdom, 6/11/23. https://doi.org/10.1109/CAMAD59638.2023.10478376

A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS. / Gures, Emre; Shayea, Ibraheem; Yazici, Ibrahim et al.
2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 146-151 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shayea, Ibraheem

AU - Yazici, Ibrahim

AU - El-Saleh, Ayman

AU - Saad, Sawsan Ali

PY - 2023

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N2 - In this paper, we propose a novel self-optimization framework that incorporates an automatic weight function for determining Handover Control Parameters (HCP) and utilizes the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm for target cell selection. The proposed algorithm estimates suitable HCP values automatically based on key factors such as Signal-to-Interference-plus-Noise Ratio (SINR), traffic load, and user equipment (UE)'s speed. Additionally, TOPSIS algorithm is employed to select the most suitable target cell based on three evaluation criteria: SINR, Reference Signal Received Power (RSRP), and load level. The performance of the proposed algorithm is evaluated using load level, throughput, and Radio Link Failure (RLF) as key performance indicators (KPIs). Extensive simulations are carried out to assess the performance of the proposed approach. The findings indicate that the proposed algorithm outperforms the existing solutions in terms of load level, throughput, and RLF.

AB - In this paper, we propose a novel self-optimization framework that incorporates an automatic weight function for determining Handover Control Parameters (HCP) and utilizes the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm for target cell selection. The proposed algorithm estimates suitable HCP values automatically based on key factors such as Signal-to-Interference-plus-Noise Ratio (SINR), traffic load, and user equipment (UE)'s speed. Additionally, TOPSIS algorithm is employed to select the most suitable target cell based on three evaluation criteria: SINR, Reference Signal Received Power (RSRP), and load level. The performance of the proposed algorithm is evaluated using load level, throughput, and Radio Link Failure (RLF) as key performance indicators (KPIs). Extensive simulations are carried out to assess the performance of the proposed approach. The findings indicate that the proposed algorithm outperforms the existing solutions in terms of load level, throughput, and RLF.

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Y2 - 6 November 2023 through 8 November 2023

ER -

Gures E, Shayea I, Yazici I, El-Saleh A, Saad SA. A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 146-151. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD). doi: 10.1109/CAMAD59638.2023.10478376

A Novel Self-Optimization Algorithm for 5G HetNets Using Automatic Weight Function and TOPSIS

Abstract

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Bibliographical note

Keywords

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