Dynamic mobility and handover management in software-defined networking-based fifth-generation heterogeneous networks

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Network Management Pub Date : 2024-03-28 DOI:10.1002/nem.2268

Adil Khan, Shabeer Ahmad, Ihsan Ali, Babar Hayat, Yanan Tian, Weixing Liu

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引用次数: 0

Abstract

The adoption and application of mobile communication technology have rapidly escalated, leading to a significant upsurge in the demand of data traffic. Ultra-densification stands as one of the network solutions within the realm of 5G and beyond technologies, aimed to enhance data rates and network capacity. Heterogeneous networks (HetNets) are deployed with different types of small cells (SCs) in mobile networks to provide high capacity, data rate, throughput, and low latency communication. HetNet solves the problem of network densification at the expense of mobility management problems such as ping-pong handover, unnecessary handovers, handover delay, and cell load. This paper introduces an enhanced optimal cell selection technique employing software-defined networking (SDN) to tackle the challenges of handover and mobility management in 5G and beyond 5G (B5G) HetNet. The proposed SDN-based cell selection scheme leverages linear programming (LP) to manage the mobility of users dynamically, facilitating the selection of the optimal cell for user equipment (UE) handover. This selection is based on multi-attribute decision-making criteria, which include user direction, received signal strength (RSS) value, cell load, and dwell time. By applying LP, computational overhead during cell selection is significantly reduced. The results indicate that the proposed scheme leads to a 39% reduction in number of handovers. This reduction signifies a substantial advancement in mitigating issues associated with frequent and unnecessary handovers, ultimately leading to minimized signaling overhead between UE and cells. Moreover, the proposed solution outperformed the existing scheme in terms of system's throughput and selects an optimal target cell with a lower cell load.

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基于软件定义网络的第五代异构网络中的动态移动性和切换管理

移动通信技术的采用和应用迅速升级，导致数据流量需求大幅飙升。超密集化是 5G 及更先进技术领域的网络解决方案之一，旨在提高数据传输速率和网络容量。异构网络（HetNets）在移动网络中部署了不同类型的小蜂窝（SC），以提供高容量、数据速率、吞吐量和低延迟通信。HetNet 以移动性管理问题为代价解决了网络密集化问题，这些问题包括乒乓式切换、不必要的切换、切换延迟和小区负载。本文介绍了一种采用软件定义网络（SDN）的增强型优化小区选择技术，以应对 5G 和 5G 以上（B5G）HetNet 中的切换和移动性管理挑战。所提出的基于 SDN 的小区选择方案利用线性规划（LP）来动态管理用户的移动性，从而促进为用户设备（UE）切换选择最佳小区。这种选择基于多属性决策标准，包括用户方向、接收信号强度（RSS）值、小区负荷和停留时间。通过应用 LP，小区选择过程中的计算开销大大减少。结果表明，所提出的方案可将切换次数减少 39%。这一减少标志着在缓解与频繁和不必要的切换相关的问题方面取得了重大进展，最终使 UE 和小区之间的信令开销降至最低。此外，所提出的解决方案在系统吞吐量方面优于现有方案，并能选择具有较低小区负荷的最佳目标小区。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Network Management COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

5.10

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Modern computer networks and communication systems are increasing in size, scope, and heterogeneity. The promise of a single end-to-end technology has not been realized and likely never will occur. The decreasing cost of bandwidth is increasing the possible applications of computer networks and communication systems to entirely new domains. Problems in integrating heterogeneous wired and wireless technologies, ensuring security and quality of service, and reliably operating large-scale systems including the inclusion of cloud computing have all emerged as important topics. The one constant is the need for network management. Challenges in network management have never been greater than they are today. The International Journal of Network Management is the forum for researchers, developers, and practitioners in network management to present their work to an international audience. The journal is dedicated to the dissemination of information, which will enable improved management, operation, and maintenance of computer networks and communication systems. The journal is peer reviewed and publishes original papers (both theoretical and experimental) by leading researchers, practitioners, and consultants from universities, research laboratories, and companies around the world. Issues with thematic or guest-edited special topics typically occur several times per year. Topic areas for the journal are largely defined by the taxonomy for network and service management developed by IFIP WG6.6, together with IEEE-CNOM, the IRTF-NMRG and the Emanics Network of Excellence.