Coverage Versus Capacity Conflict Mediation via Antenna Tilt in Self-Organising Networks

This paper explores a rule based mediation approach to optimize the balance between coverage and capacity Key Performance Indicators (KPIs) in Self Organizing Networks (SONs). Traditional methods often provide mitigation solutions to resolve conflicts between these KPIs. In contrast, this study introduces a mediation optimization technique that dynamically adjusts electrical antenna tilt in response to changing user densities. Through the simulations, the proposed approach demonstrates significant improvements in network performance, effectively reducing the coverage and capacity losses typically observed when one KPI is prioritized over the other. This dynamic adjustment method offers a more balanced solution for optimizing SON performance.

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Published
2024-10-21
DOI
https://doi.org/10.1109/istt63363.2024.10750758
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
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article

Coverage Versus Capacity Conflict Mediation via Antenna Tilt in Self-Organising Networks

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Cooperative Communication and Network Coding
article

Coverage Versus Capacity Conflict Mediation via Antenna Tilt in Self-Organising Networks

Chee Yen Leow, Ayhan Akbaş, Chuan Heng Foh, Sulyman A. Abdulkareem, Hamed Alimohammadi, Ahmad Sulaymani Seyed, Samara Mayhoub, Mohammad Sojafar
article en

Abstract

This paper explores a rule based mediation approach to optimize the balance between coverage and capacity Key Performance Indicators (KPIs) in Self Organizing Networks (SONs). Traditional methods often provide mitigation solutions to resolve conflicts between these KPIs. In contrast, this study introduces a mediation optimization technique that dynamically adjusts electrical antenna tilt in response to changing user densities. Through the simulations, the proposed approach demonstrates significant improvements in network performance, effectively reducing the coverage and capacity losses typically observed when one KPI is prioritized over the other. This dynamic adjustment method offers a more balanced solution for optimizing SON performance.

University of Surrey (GB), University of Technology Malaysia (MY)
Universiti Teknologi Malaysia
Openalex Percentile: Top 77%
Cooperative Communication and Network Coding
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