Smart Virtual eNB (SVeNB) for 5G mobile communication

Yaseen, Fouad A.; Al-Khalidi, Nahlah A.; Al-Raweshidy, Hamed S.

doi:10.1109/fmec.2017.7946413

Cited by 2 publications

(7 citation statements)

References 19 publications

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“…Whereas in SVeNB the queueing model is M/M/m [33] because its VMs perform m jobs and consequently, the queuing delay time will be expressed as [2]:…”

Section: Queuing Delay Analysismentioning

confidence: 99%

“…where, Z represents the number of entities of the EPS, F denotes the number of the user's messages to a specific entity. jth is user's parameters to be treated by ith entity, and sys is the system constant [2].…”

Section: Processing Delay Timementioning

confidence: 99%

“…the initial access to set up a session establishment), with each executing almost the same procedure to set up the RACH for every user. However, following the setting up of the RACH the delay time for SVeNB becomes much less than with C-RAN due to the former not needing to connect the BBU and the CN, because all the information that it requires to achieve a session is already stored into its storage unit [2]. Figure 8 explicates SVeNB's superiority over C-RAN when serving the same number of served user profiles.…”

Section: Performance Evaluation Analysismentioning

confidence: 99%

“…of mobile networks of effective performance. To realize these goals, mobile networks should be able to handle this expansion without increasing the cost of these networks [1], [2]. Most of the current or proposed mobile communication networks working under 4G conditions have implemented virtualization in both hardware and software infrastructure.…”

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confidence: 99%

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Mini-Base Station: A Novel Smart Virtual eNB for 5G and Beyond Mobile Networks

Yaseen

Al-Raweshidy

2019

IEEE Access

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This paper presents a proposal for an innovative base station for 5G and beyond for a mobile network system based on the evolved packet system (EPS). Functions of EPS elements can be achieved by the SVeNB, according to the type of function or service and the device that is used to achieve that function or service. The current system, even if these functions and services have been virtualized by the system, it may put them away from the users. Consequently, this causes a delay in completing the establishment of a connection. Since these functions and services can be virtualized and programmed in virtual machines (VMs), we have been simulated the kernel of those functions and services executed by the SVeNB through its VMs. Moreover, The SVeNB position is located close to the users, which helps to reduce the End-to-End delay. Our proposed approach gives the SVeNB the ability to share and contribute in making decisions with the core network (CN) and BaseBand Unit (BBU) pool to initiate a connection, further in making determinations within its vision regarding its users. This procedure leads to a reduction in the load on the BBU pool and the CN, thus lessening the latency, and to increase the data rate that is delivered to the users. That means the SVeNB can regionally decide for all local users that are covered by the SVeNB to connect to each other or the Internet. The MATLAB platform has been used to evaluate the SVeNB performance, with the results demonstrating that it surpasses. The obtained results point that the SVeNB passes the C-RAN system by 68% in terms of user profiles processing, whilst also and it reducing the End-to-End delay by 62%. INDEX TERMS 5G, control plane, communication networks, SDN, NFV. I. INTRODUCTION 5G communication network systems are geared towards minimizing the size, cost, power consumption, and deployment of physical hardware. In addition, it will increase the transmission data rate, speeds up of the delivery of data, increases performance, and virtualizes physical resources of the support of the Software Defined Networking (SDN) and Network Functions Virtualization (NFV). The most significant challenges for 5G mobile communication networks are providing sufficient capacity to accommodate the growth of mobile data traffic and decreasing End-to-End latency. The technologies of movable smart gadgets have been advancing. At the same time, the numbers of their users have been expanding, and intuitively, will lead to exceeding of the capabilities of mobile communication networks. In order to address such obstacles, these networks should be efficient to satisfy expandable needs The associate editor coordinating the review of this manuscript and approving it for publication was Yongpeng Wu.

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“…Whereas in SVeNB the queueing model is M/M/m [33] because its VMs perform m jobs and consequently, the queuing delay time will be expressed as [2]:…”

Section: Queuing Delay Analysismentioning

confidence: 99%

Section: Processing Delay Timementioning

confidence: 99%

Section: Performance Evaluation Analysismentioning

confidence: 99%

mentioning

confidence: 99%

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Mini-Base Station: A Novel Smart Virtual eNB for 5G and Beyond Mobile Networks

Yaseen

Al-Raweshidy

2019

IEEE Access

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“…Moreover, in the SDN environment, the control packets do not utilize the standard IP routing only, because it could use different algorithms and mechanisms according to which task is wanted to be implemented by the algorithm. The idea of this paper based on our previous proposal that entitled Smart Virtual eNB (SVeNB) [16]. The SVeNB has suggested of using SDN Our paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Smart Virtualization Packets Forwarding During Handover for Beyond 5G Networks

Yaseen

Al-Raweshidy

2019

IEEE Access

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Keeping a connection continuity during the movement of a mobile node (MN) between access points without any suspension of provided services is one of the most pressing issues should be solved. Long handover processing causes interruptions in session connection, high rate of data loss, and long end-to-end delay time. Smart virtualization means the cooperation of different virtualization technologies with novel ideas. In this paper, we proposed a mobile network architecture compatible with cloud computing of 5G and beyond networks. We invented a new idea to create a tag to be used as an MN's identity, which consists of the standard E.164 numbering and MAC address. Based on the uniqueness of E.164 numbering and MAC which are processed together to generate the MN tag (T H ). T H is used to handle the packets inside the mobile networks. The software-defined networking (SDN) provides a capability of separating the control plane from the data plane. This decoupling is a suitable candidate to exploit it in our proposed system that uses the SDN and other virtualization technologies. The requirements of the 5G and beyond for future mobile communications encouraged us to think in a novel packet forwarding during the handover to keep real-time connection continuity for an MN. Our proposed system has been simulated and performed by MATLAB and Mininet platforms. The results showed that the packet loss rate decreased to 4% of the date that was lost during the handover delay time or packets re-direction mechanism. At the same time, the MN could receive 96.4% of the data that were lost during the handover process.INDEX TERMS 5G, control plane, communication networks, SDN, NFV.

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Smart Virtual eNB (SVeNB) for 5G mobile communication

Cited by 2 publications

References 19 publications

Mini-Base Station: A Novel Smart Virtual eNB for 5G and Beyond Mobile Networks

Mini-Base Station: A Novel Smart Virtual eNB for 5G and Beyond Mobile Networks

Smart Virtualization Packets Forwarding During Handover for Beyond 5G Networks

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