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Experimental Analysis of Handover Process in Cell-Free Networks

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Published:29 August 2023Publication History

ABSTRACT

With the emergence of services that require a high level of data usage, wireless networks are required to support higher data rates and greater capacity. To satisfy these requests, 5G architecture supports a high-frequency band. However, a high frequency occurs small range resulting in a need for numerous base stations (BSs). Deploying numerous BSs can be considered practically impossible due to high costs. To address the cost issue, instead of BSs, access points (APs) are used in Cell-free networks. That is, Cell-free networks that offer promising coverage gain and enhanced data rates consist of multiple APs and a single central process unit (CPU). This coverage of multiple APs' is much smaller than BS's. As a result, this small coverage can lead to frequent handovers. To overcome this frequent handover, an optimized handover scheme for the Cell-free network is required. Despite this optimization requirement, many studies in the Cell-free network field remain at the physical layer stage. No basic handover process is optimized for Cell-free networks, and no protocol for upper layers is defined. We consider that existing technologies will continue to be used in Cell-free networks, even if the protocols optimized for Cellfree networks are developed and used. For these reasons, we construct a Cell-free network architecture similar to the 5G structure for the handover process. In this paper, we investigate the handover process in 5G architecture and extend it to a Cellfree network environment. In our simulations, APs initiate and perform the handover process based on measurement reports from users. We analyzed and discussed the performance matrices of the handover in a Cell-free network environment, such as handover delay and throughput.

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  • Published in

    cover image ACM Conferences
    RACS '23: Proceedings of the 2023 International Conference on Research in Adaptive and Convergent Systems
    August 2023
    251 pages
    ISBN:9798400702280
    DOI:10.1145/3599957

    Copyright © 2023 ACM

    Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    Publication History

    • Published: 29 August 2023

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