Algorithms for the design of 5G networks with VNF-based Reusable Functional Blocks

Chiaraviglio, Luca; D’Andreagiovanni, Fabio; Rossetti, Simone; Sidoretti, Giulio; Bléfari-Melazzi, Nicola; Chiasserini, Carla-Fabiana; Malandrino, Francesco

doi:10.1007/s12243-019-00722-w

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…However, throughput is the only network performance metric considered in these papers and it leads to the preference for offloading the cellular traffic and best-effort transmissions by the Wi-Fi system. In [23], the authors investigate a 5G network with virtual network function-based reusable functional blocks and the total cost of the network is minimized by two algorithms derived by the authors. In [24], recent advances in technical standards and critical enabling techniques were reviewed.…”

Section: Related Literaturementioning

confidence: 99%

An Optimal Resource Allocation Scheme with Carrier Aggregation in 5G Network under Unlicensed Band

Li,

Zheng,

Guan

et al. 2023

Applied Sciences

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Carrier aggregation (CA) technology in the Fifth-Generation (5G) network can be considered as a major feature for high-rate data services, which can be combined with the concept of 5G in unlicensed band (5G-U) for data offloading to further enhance the efficiency of the scarce licensed spectral resource. However, the introduction of cellular services in an unlicensed spectrum can force unlicensed band users to silent mode. Meanwhile, the coexistence among different radio access technologies operating on the same frequency band is a complex issue, especially considering the requirement diversity of quality of service (QoS) in networking. In this paper, we propose an optimal resource allocation mechanism to maximize system performance satisfaction for multiple types of services with different QoS requirements in the 5G-U network with a CA feature to address the challenge. Additionally, the performance of services in Wi-Fi system is protected by reserving the minimum spectrum resource when offloading for the 5G-U network. Analytical results on the mean ergodic achievable rate of Wi-Fi services and the mean packet delay of 5G services are provided to maximize the system performance satisfaction. Numerical results demonstrate the effectiveness of the proposed algorithm, wherein optimal spectrum and power allocation can contribute to the maximum system satisfaction in a 5G-U network with a CA feature.

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Section: Related Literaturementioning

confidence: 99%

An Optimal Resource Allocation Scheme with Carrier Aggregation in 5G Network under Unlicensed Band

Li,

Zheng,

Guan

et al. 2023

Applied Sciences

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“…Smart cities are nowadays enjoying a wide range of brand new telecommunication services enabled by last generation 5G networks [10], [33], [35], [37], [39], [40]. However, within this ultramodern context, older and more traditional broadcasting services like television and radio are still considered critical by many governments, since they support a cheap, easy and democratic access to information to all the population.…”

Section: Introductionmentioning

confidence: 99%

Green and robust optimal design of Single Frequency Networks by min-max regret and ACO-based learning

D’Andreagiovanni

Lakhlef

Nardin

2022

2022 IEEE International Smart Cities Conference (ISC2)

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Notwithstanding the introduction of brand new 5Gbased wireless services, single frequency networks supporting digital television and radio broadcasting still represent a major source of telecommunications services in modern smart cities. In this work, we propose a robust optimization model for the green design of second generation single frequency networks based on the digital television DVB-T standard, whose ongoing adoption requires to reconfigure and redesign existing networks. Our robust model aims at protecting design solutions against the data uncertainty that naturally affect propagation of signals in a real environment. For reducing conservatism of solutions, we refer to a heuristic min-max regret paradigm and to solve the resulting problem we propose to adopt a hybrid exact-heuristic algorithm based on the combination of an Ant Colony Optimizationlike learning procedure, exploiting tight formulations of the optimization model, with an exact large neighborhood search. Results of computational tests considering realistic instances show that the heuristic min-max regret approach can produce solutions characterized by a substantially lower price of robustness without sacrificing protection against data uncertainty.

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“…The paradigm of NFV has been the milestone in decoupling network functions from the physical devices on which they run to a virtualized environment, see [16]. Application of Virtual Network Function-based (VNF-based) entities (called Reusable Functional Blocks) can provide a high level of flexibility and scalability in 5G, deployment of new services with increased agility and faster time-to-value and significant reductions in operating and capital expenses [17]. Moreover, NFV and its relationship with complementary fields of SDN are very useful for building 5G network slices, see [18], and provide integrated complete 5G network security solutions [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Verticals in 5G MEC-Use Cases and Security Challenges

et al. 2021

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5G is the fifth-generation cellular network satisfying the requirements IMT-2020 (International Mobile Telecommunications-2020) of the International Telecommunication Union. Mobile network operators started using it worldwide in 2019. Generally, 5G achieves exceptionally high values of performance parameters of access and transmission. The application of edge servers facilitated the implementation of such requirements of 5G, which resulted in 5G MEC (Multi-access Edge Computing) technology. Moreover, to optimize services for specific business applications, the concept of 5G vertical industries has been proposed. In this paper, we study how the application of the MEC technology affects the functioning of 5G MEC-based services. We consider twelve representative vertical industries of 5G MEC by presenting their essential characteristics, threats, vulnerabilities, and known attacks. Next, we analyze their functional properties, give efficiency patterns and identify the effect of applying the MEC technology in 5G on the resultant network's quality parameters to identify the expected security requirements. Finally, we identify the impact of classified threats on the 5G empowered vertical industries and identify the most sensitive cases to focus on their protection against network attacks in the first place.

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Algorithms for the design of 5G networks with VNF-based Reusable Functional Blocks

Cited by 7 publications

References 21 publications

An Optimal Resource Allocation Scheme with Carrier Aggregation in 5G Network under Unlicensed Band

An Optimal Resource Allocation Scheme with Carrier Aggregation in 5G Network under Unlicensed Band

Green and robust optimal design of Single Frequency Networks by min-max regret and ACO-based learning

Verticals in 5G MEC-Use Cases and Security Challenges

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