Interference management in 5G and beyond networks: A comprehensive survey

Trabelsi, Nessrine; Chaari Fourati, Lamia; Chen, Chung Shue

doi:10.1016/j.comnet.2023.110159

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2024

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Cited by 11 publications

References 203 publications

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A Brief Review of Machine Learning-Based Approaches for Advanced Interference Management in 6G In-X Sub-networks

Trabelsi,

Chaari Fourati

2024

Lecture Notes on Data Engineering and Communications Technologies

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A Brief Review of Machine Learning-Based Approaches for Advanced Interference Management in 6G In-X Sub-networks

Trabelsi,

Chaari Fourati

2024

Lecture Notes on Data Engineering and Communications Technologies

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Signal Fidelity in Public Mobile Networks: Investigating Dominant Distortions in Macro and Micro Cells via Physical Layer Analysis

Mihaljevic

2024

Smart Innovation, Systems and Technologies

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An analytical approach for modelling unmanned aerial vehicles and base station interaction for disaster recovery scenarios

Casmin,

Ever

2024

Wireless Netw

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Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to be used in various sectors for various applications and services. In wireless networking, UAVs can be used as a vital part of the supplementary infrastructure to improve coverage, principally during public safety emergencies. Because of their affordability and potential for widespread deployment, there has been a growing interest in exploring the ways in which UAVs can enhance the services offered to isolated ground devices. Large areas may lose cellular coverage following a public safety emergency that impacts critical communication infrastructure. This prompts the need for the employment of D2D communication frameworks as a complement. In such critical conditions, timely response and network connectivity are essential factors for reliable communication. This study focuses on the mathematical models of UAV-based wireless communication in the context of disaster recovery. Particularly, we aim to model a queuing framework comprising UAVs as mobile relay nodes between the stranded user devices and neighbouring operational base stations. We present an iterative solution with a novel method for generating initial conditions for the two-stage queuing model. The approximate approach presented is validated for its accuracy using discrete-event simulation. The effects of various factors on performance measures are also analysed in detail. The validation results show that the discrepancy between the analytical approach and the simulation is less than 5%, which is the confidence interval of the simulation.

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Interference management in 5G and beyond networks: A comprehensive survey

Cited by 11 publications

References 203 publications

A Brief Review of Machine Learning-Based Approaches for Advanced Interference Management in 6G In-X Sub-networks

A Brief Review of Machine Learning-Based Approaches for Advanced Interference Management in 6G In-X Sub-networks

Signal Fidelity in Public Mobile Networks: Investigating Dominant Distortions in Macro and Micro Cells via Physical Layer Analysis

An analytical approach for modelling unmanned aerial vehicles and base station interaction for disaster recovery scenarios

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