Energy efficiency through joint routing and function placement in different modes of SDN/NFV networks

Moosavi, Reza; Parsaeefard, Saeedeh; Maddah-Ali, Mohammad Ali; Shah-Mansouri, Vahid; Khalaj, Babak Hossein; Bennis, Mehdi

doi:10.1016/j.comnet.2021.108492

Cited by 5 publications

(5 citation statements)

References 26 publications

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“…Software Defined Networking allows the separation of the data and control planes. The control decisions in the network are undertaken in a centralized manner by the SDN controllers (Moosavi et al, 2021). In addition, breaking apart the typical vertical integration makes for a better user experience by increasing data flow and decreasing latency and enhancing network adaptability.…”

Section: Software Defined Networking (Sdn)mentioning

confidence: 99%

“…The research by (Moosavi et al, 2021) was centred on the application of NFV and SDN core network level for achieving reduction in costs, network scalability, and additional flexibility in the deployment of 5G and 6G services. (Moosavi et al, 2021) proposed a methodology for migrating from the existing legacy equipment to full or hybrid SDN/NFV networks. The strategy elaborated for boosting energy efficiency was based on joint routing and placement of functions in different types of SDN/NFV networks.…”

Section: Introductionmentioning

confidence: 99%

“…(Ismail and Mahmoud, 2020) proposed a different perspective by formulating models for the power consumed in Virtualised RAN scenarios. (Moosavi et al, 2021), (Beakal Gizachew Assefa and Oznur Ozkasap, 2019), (Priyadarsini, Bera and Rahman, 2018), and (Sharma et al, 2021) discussed several strategies for the optimisation of energy consumption at Core network level, focusing particularly on SDN technology. On the other hand, Farias et al (2016) evaluated several architectures for backhaul connectivity with their respective power consumption models.…”

Section: Introductionmentioning

confidence: 99%

“…Figure 12: Variation of Base Station Power consumption with number of active usersOn the other hand, the power consumption of the GPON/NGPON based backhaul, 𝑃𝑊 𝐵𝐿 , is given by equation (2). In(Farias et al, 2016) and(Moosavi et al, 2021), the typical power consumption parameters are given as per…”

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confidence: 99%

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Derivation and Comparative Analysis of End-To-End Power Models for 5G RAN Architectures

Doorgakant,

Fowdur

2023

Preprint

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A considerable rise in the conventional trajectory of energy consumption is expected to be introduced by 5G which already consumes four times more energy than 4G. Consequently, energy efficiency is a major concern in 5G in contrast to earlier generations due to the further densification of cells. This paper proposes end-to-end power models for three different 5G RAN deployment architectures, namely the 5G distributed RAN, the 5G centralised RAN with dedicated hardware and the 5G Cloud Centralised-RAN. The end-to-end modelling of the power consumption of a complete 5G system is obtained by combining the power models of individual components such as the Base Station, the Core Network, front-haul, mid-haul and backhaul links, as applicable for the different architectures. The variation of the end-to-end power consumption of the 5G networks against key dependent parameters is analysed. The apportionment of power consumption at the different segments of the 5G networks is also calculated and discussed. It was found that the Decentralised 5G scenario had the highest power consumption of the three models analysed. On the other hand, the Centralised 5G and the 5G Cloud C-RAN consumed 12% and 20% less power respectively as compared to the Decentralised solution. Moreover, calculations demonstrated that the power consumption attributed to Base Stations varied between 74–78% of the Global 5G network power consumption. Thus, this study provides valuable insights for understanding the power consumption of various 5G architectures thereby laying the foundation for their sustainable deployment.

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Section: Software Defined Networking (Sdn)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Derivation and Comparative Analysis of End-To-End Power Models for 5G RAN Architectures

Doorgakant,

Fowdur

2023

Preprint

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“…[269] suggested using NVF and SDN as enablers for e cient energy consumption by network resources. SDN/NVF enables joint routing and function placement scheme for energy e ciency, the simulation-based results show up to 70% energy economy through the proposed algorithm[270].…”

mentioning

confidence: 97%

Survey on Joint Paradigm of 5G and SDN Emerging Mobile Technologies: Architecture, Security, Challenges and Research Directions

Kazmi

Qamar

Hassan

et al. 2023

Wireless Pers Commun

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Modern communication systems are probable to surface new challenges while introducing innovative fronts concerning context consciousness in wireless networks. The main outcome behind this expected technological jump will be a whole novel set of intuiting aptitudes forecasted for Fifth Generation (5G) enabled devices. In line with 5G, Software De ned Networking (SDN) is also rising as an intrinsically novel phenomenon.SDN is an unconventional methodology and key technology in modern communication. SDN maintains favorable novelty about network programmability, where network administration is permitted with extraordinary intellections. SDN architecture has the prospective to allow, simplify or augment security implementations in network through instantly reprogrammable centralized view of the data plane. In the near future, 5G and SDN will ripe mobile communication through the development of state-of-the-art implementations such as a smart city, advanced military security, modern national defense, intelligent tra c, etc.; thereby, these emerging mobile communication concepts invoke various signi cant topics, where security is a paramount implication. Therefore, we initiate our focus from basic architecture of 5G and SDN. Next, we analyze security requirements, solutions and challenges in joint paradigm of 5G and SDN. Further, considering the modern communication technological shift, we discuss future trends and research directions in the joint era of 5G and SDN technologies. IntroductionThe unremitting growth in the capacity and aspects of data apprehended by technological advancements has shaped diversi ed ow of data in either organized or unorganized format such as the rise of social media, Internet of Things (IoTs) for Healthcare [1] and huge multimedia communications. Indeed, the rapid expansion of the Internet industry is considerably dependent on communication system speed, which has emerged as a critical steering factor for the advancement in computer networks [2]. Scienti c advancements are rapidly changing the information technology; thereby computer networks are expanding towards incorporation, dissemination, modi cation and intelligence [3]. The pillar behind this anticipated technological hop will be an entire novel set of aptitudes forecasted for Fifth Generation (5G) communication [4]. 5G is encapsulating all advanced emerging technologies like Arti cial Intelligence (AI) [5]. Within the near future, 5G will reap portable communication organized through the advancement of inventive executions such as smart city, smart grid system, advanced military security etc. So, it is considered fundamental to boost the organized engineering of 5G technology. Likewise, Software De ned Networking (SDN) technology is expanding eminently everywhere globally due to its programmable [6], economical, agile, robust and consolidated networking. 5G is more complex and harder to manage as compared to conventional computer telecommunications and satellite communication systems. SDN is a potential organized design that abridge...

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HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures

Cañete,

Amor,

Fuentes

2024

Journal of Network and Computer Applications

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Energy efficiency through joint routing and function placement in different modes of SDN/NFV networks

Cited by 5 publications

References 26 publications

Derivation and Comparative Analysis of End-To-End Power Models for 5G RAN Architectures

Derivation and Comparative Analysis of End-To-End Power Models for 5G RAN Architectures

Survey on Joint Paradigm of 5G and SDN Emerging Mobile Technologies: Architecture, Security, Challenges and Research Directions

HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures

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