A C-RAN Architecture for LTE Control Signalling

Al-Samman, Imad; Doufexi, Angela; Beach, M.A.

doi:10.1109/vtcspring.2016.7504061

Cited by 6 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, the numerical results for signalling load generated using the MATLAB 2018 software package are presented. To assess the efficiency of the proposed design, the results for this architecture were compared with those for conventional LTE architecture which was explained in detail in [25,35], and with the full openflow-enabled EPC (OEPC) architecture proposed by Nguyen et al [25] in 2015 and the C-RAN.DMME architecture proposed by Al-Samman et al [26] in 2016. During the evaluation, the authentication step was not taken into account, however, as this is considered to be a fixed step in all architectures.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Signalling load reduction in 5G network based on cloud radio access network architecture

Waheed

Saeed

Hussein

2021

IJECE

View full text Add to dashboard Cite

The rapid growth of both mobile users and application numbers has caused a huge load on the core network (CN). This is attributed to the large numbers of control messages circulating between CN entities for each communication or service request, however, making it imperative to develop innovative designs to handle this load. Consequently, a variety of proposed architectures, including a software defined network (SDN) paradigm focused on the separation of control and data plans, have been implemented to make networks more flexible. Cloud radio access network (C-RAN) architecture has been suggested for this purpose, which is based on separating base band units (BBU) from several base stations and assembling these in one place. In this work, a novel approach to realize this process is based on SDN and C-RAN, which also distributes the control elements of the CN and locates them alongside the BBU to obtain the lowest possible load. The performance of this proposed architecture was evaluated against traditional architecture using MATLAB simulation, and. the results of this assessment indicated a major reduction in signalling load as compared to that seen in the traditional architecture. Overall, the number of signalling messages exchanged between control entities was decreased by 53.19 percent as compared to that seen in the existing architecture.

show abstract

Section: Resultsmentioning

confidence: 99%

“…In 2016, Al-Samman et al [26] deployed MMEs in a single pool with the base band unit (BBU), [27] for an overall reduction in signalling load. Also in 2016, Pozza proposed segregation between the control and user planes in entities of the LTE architecture in conjunction with SDN and virtualization [28].…”

Section: Related Workmentioning

confidence: 99%

Signalling load reduction in 5G network based on cloud radio access network architecture

Waheed

Saeed

Hussein

2021

IJECE

View full text Add to dashboard Cite

show abstract

“…So, for the Round Trip Time (RTT) for these values should be doubled. In the C-RAN architecture, the distance between the BBU and RRH is restricted by processing and transmitting delay times which should be not more than 3 ms (the period from uplink to downlink) [30]. In other words, when increasing the distance between the BBU and RRH, the processing delay of the former should decrease.…”

Section: B Fibre Link Delay Analysismentioning

confidence: 99%

“…To estimate the processing delay time that is required to build up a session in the EPS, we need to delimit the time that is consumed per entity to complete its responsibility. Authors in [30] mentioned that the BBU processing for one round trip is 3 ms. The EPC entities (servers) need to perform further processing on arrived packets, i.e.…”

Section: Processing Delay Timementioning

confidence: 99%

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

Yaseen

Al-Raweshidy

2019

IEEE Access

View full text Add to dashboard Cite

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.

show abstract

“…However, in 2016, I. Al-Samman etal. have proposed the deployment of the MMEs in one pool with the Base Band Unit (BBU) pool [36,37]. The overall reduction of the signaling load has been increased by this approach.…”

Section: Introductionmentioning

confidence: 99%