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SDN-based handover scheme for multi-tier LTE/Femto and D2D networks

机译:多层LTE / Femto和D2D网络的基于SDN的切换方案

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摘要

Femto Access Points (FAP) and Device-to-Device (D2D) communications have recently been considered as potential candidates for 5G network densification and cell-edge performance. Mobility and handover management is a major issue in heterogeneous networks (HetNet) offering different access technologies. Recently, many Fuzzy and Multi-Attribute Decision Making (MADM) handover decision algorithms have been proposed to ensure Quality of Service (QoS), reduce the number of handovers and handover blocking probability of mobile users. However, network discovery is still an issue as it increases the total handover delay and drains the battery of the user equipment (UE). In addition, the UE may undergo high interference with other co-channel users after the handover is executed, thus limiting the overall network performance. Currently, the emerging Software Defined Networking (SDN) has been proposed in which one centralized controller can assist in the handover discovery, handover decision, and co-channel interference coordination. SDN-based handover algorithms ensure QoS, Quality of Experience (QoE), reduce delay and interference. In this paper, we will integrate the Fuzzy logic into the SDN to assist in FAPs and D2D discovery, and the decision of candidate networks based on the networks' QoS parameters. Then, the UE will make the final handover decision by selecting the best network based on the predicted QoE using TOPSIS and AHP algorithms. Frequency reuse and appropriate power control are also applied in order to increase network capacity and reduce interference. Performance results show that the proposed SDN-based Fuzzy MADM handover scheme reduces unnecessary handovers, blocking probability and total handover delay. In addition, throughput is increased as the number of users increases. (C) 2018 Elsevier B.V. All rights reserved.
机译:毫微微接入点(FAP)和设备到设备(D2D)通信最近被认为是5G网络致密化和小区边缘性能的潜在候选者。在提供不同接入技术的异构网络(HetNet)中,移动性和切换管理是一个主要问题。近年来,已经提出了许多模糊和多属性决策(MADM)切换决策算法,以确保服务质量(QoS),减少移动用户的切换次数和切换阻塞概率。但是,网络发现仍然是一个问题,因为它会增加总切换延迟并消耗用户设备(UE)的电池。另外,在执行切换之后,UE可能受到其他同信道用户的强烈干扰,从而限制了整体网络性能。当前,已经提出了新兴的软件定义网络(SDN),其中一个集中控制器可以协助切换发现,切换决策和同信道干扰协调。基于SDN的切换算法可确保QoS,体验质量(QoE),减少延迟和干扰。在本文中,我们将把模糊逻辑集成到SDN中,以帮助FAP和D2D发现以及基于网络QoS参数的候选网络决策。然后,UE将使用TOPSIS和AHP算法根据预测的QoE选择最佳网络,从而做出最终的切换决策。为了增加网络容量并减少干扰,还应用了频率复用和适当的功率控制。性能结果表明,基于SDN的模糊MADM切换方案减少了不必要的切换,阻塞概率和总切换延迟。另外,吞吐量随着用户数量的增加而增加。 (C)2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Computer networks》 |2018年第4期|142-153|共12页
  • 作者单位

    King Abdulaziz Univ, Fac Comp & Informat Technol, Comp Sci Dept, Jeddah, Saudi Arabia;

    King Abdulaziz Univ, Fac Comp & Informat Technol, Comp Sci Dept, Jeddah, Saudi Arabia;

    King Abdulaziz Univ, Fac Comp & Informat Technol, Comp Sci Dept, Jeddah, Saudi Arabia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    SDN; LTE; Femtocells; D2D; Handover; Fuzzy; TOPSIS; AHP;

    机译:SDN;LTE;Femtocells;D2D;切换;模糊;TOPSIS;AHP;

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