Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks

Emre Gures; Ibraheem Shayea; Mustafa Ergen; Ayman A. El-Saleh

doi:10.1109/MTTW56973.2022.9942604

Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks

Emre Gures, Ibraheem Shayea, Mustafa Ergen, Ayman A. El-Saleh

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

12 Citations (Scopus)

Abstract

The promising emergence of heterogeneous networks (HetNets) composed of Long-Term Evolution-Advanced (LTE-A) macro cells and fifth-generation (5G) small cells is envisioned as a paradigm shift in modern wireless communications due to their capability of operating in millimeter-wave (mmWave) bands. However, there are significant variabilities between these two different cell types in terms of the transmission power levels, system capacity, coverage areas and deployment densities. Also, the random distribution of users in different directions of movement causes an uneven distribution of traffic load between cells. In this study, we suggest a fuzzy logic-based algorithm for adjusting the handover (HO) margin (HOM) in HetNets by leveraging cell load and radio channel quality. In addition, a two-step model of target cell determination is presented that takes into account the load level of the cells and the reference signal received power (RSRP). The performance of the suggested algorithm is compared with selected existing load balancing algorithms. The simulation findings depict that the suggested algorithm improves load balancing, increases throughput and reduces call dropping ratio (CDR).

Original language	English
Title of host publication	Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022
Editors	Deniss Kolosovs
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	210-215
Number of pages	6
ISBN (Electronic)	9781665464390
DOIs	https://doi.org/10.1109/MTTW56973.2022.9942604
Publication status	Published - 2022
Event	2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022 - Riga, Latvia Duration: 5 Oct 2022 → 7 Oct 2022

Publication series

Name	Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022

Conference

Conference	2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022
Country/Territory	Latvia
City	Riga
Period	5/10/22 → 7/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

5G mobile communication
Load balancing
heterogeneous network
millimeter wave communication
mobility management

Access to Document

10.1109/MTTW56973.2022.9942604

Cite this

Gures, E., Shayea, I., Ergen, M., & El-Saleh, A. A. (2022). Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks. In D. Kolosovs (Ed.), Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022 (pp. 210-215). (Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MTTW56973.2022.9942604

Gures, Emre ; Shayea, Ibraheem ; Ergen, Mustafa et al. / Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks. Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022. editor / Deniss Kolosovs. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 210-215 (Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022).

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title = "Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks",

abstract = "The promising emergence of heterogeneous networks (HetNets) composed of Long-Term Evolution-Advanced (LTE-A) macro cells and fifth-generation (5G) small cells is envisioned as a paradigm shift in modern wireless communications due to their capability of operating in millimeter-wave (mmWave) bands. However, there are significant variabilities between these two different cell types in terms of the transmission power levels, system capacity, coverage areas and deployment densities. Also, the random distribution of users in different directions of movement causes an uneven distribution of traffic load between cells. In this study, we suggest a fuzzy logic-based algorithm for adjusting the handover (HO) margin (HOM) in HetNets by leveraging cell load and radio channel quality. In addition, a two-step model of target cell determination is presented that takes into account the load level of the cells and the reference signal received power (RSRP). The performance of the suggested algorithm is compared with selected existing load balancing algorithms. The simulation findings depict that the suggested algorithm improves load balancing, increases throughput and reduces call dropping ratio (CDR).",

keywords = "5G mobile communication, Load balancing, heterogeneous network, millimeter wave communication, mobility management",

author = "Emre Gures and Ibraheem Shayea and Mustafa Ergen and El-Saleh, {Ayman A.}",

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Gures, E, Shayea, I , Ergen, M & El-Saleh, AA 2022, Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks. in D Kolosovs (ed.), Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022. Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022, Institute of Electrical and Electronics Engineers Inc., pp. 210-215, 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022, Riga, Latvia, 5/10/22. https://doi.org/10.1109/MTTW56973.2022.9942604

Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks. / Gures, Emre; Shayea, Ibraheem ; Ergen, Mustafa et al.
Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022. ed. / Deniss Kolosovs. Institute of Electrical and Electronics Engineers Inc., 2022. p. 210-215 (Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022).

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

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PY - 2022

Y1 - 2022

N2 - The promising emergence of heterogeneous networks (HetNets) composed of Long-Term Evolution-Advanced (LTE-A) macro cells and fifth-generation (5G) small cells is envisioned as a paradigm shift in modern wireless communications due to their capability of operating in millimeter-wave (mmWave) bands. However, there are significant variabilities between these two different cell types in terms of the transmission power levels, system capacity, coverage areas and deployment densities. Also, the random distribution of users in different directions of movement causes an uneven distribution of traffic load between cells. In this study, we suggest a fuzzy logic-based algorithm for adjusting the handover (HO) margin (HOM) in HetNets by leveraging cell load and radio channel quality. In addition, a two-step model of target cell determination is presented that takes into account the load level of the cells and the reference signal received power (RSRP). The performance of the suggested algorithm is compared with selected existing load balancing algorithms. The simulation findings depict that the suggested algorithm improves load balancing, increases throughput and reduces call dropping ratio (CDR).

AB - The promising emergence of heterogeneous networks (HetNets) composed of Long-Term Evolution-Advanced (LTE-A) macro cells and fifth-generation (5G) small cells is envisioned as a paradigm shift in modern wireless communications due to their capability of operating in millimeter-wave (mmWave) bands. However, there are significant variabilities between these two different cell types in terms of the transmission power levels, system capacity, coverage areas and deployment densities. Also, the random distribution of users in different directions of movement causes an uneven distribution of traffic load between cells. In this study, we suggest a fuzzy logic-based algorithm for adjusting the handover (HO) margin (HOM) in HetNets by leveraging cell load and radio channel quality. In addition, a two-step model of target cell determination is presented that takes into account the load level of the cells and the reference signal received power (RSRP). The performance of the suggested algorithm is compared with selected existing load balancing algorithms. The simulation findings depict that the suggested algorithm improves load balancing, increases throughput and reduces call dropping ratio (CDR).

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ER -

Gures E, Shayea I , Ergen M, El-Saleh AA. Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks. In Kolosovs D, editor, Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 210-215. (Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022). doi: 10.1109/MTTW56973.2022.9942604

Fuzzy Logic-Based Load Balancing Algorithm in Heterogeneous Networks

Abstract

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Keywords

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