Service provisioning with multiple service providers in 5G ultra-dense small cell networks

Chang, Zheng; Zhu, Kun; Zhou, Zhenyu; Ristaniemi, Tapani

doi:10.1109/pimrc.2015.7343608

Cited by 6 publications

(11 citation statements)

References 15 publications

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“…Similar to [92], the authors in [95] adopted the Stackelberg game to maximize the utilities of stakeholders in a multi-tier HetNet. The stakeholders includes one FH as a seller and two competitive network operators, i.e., the MNO and MVNO, as buyers.…”

Section: System Utility Maximizationmentioning

confidence: 99%

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Luong

Wang

Niyato

et al. 2019

IEEE Commun. Surv. Tutorials

111

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This paper presents a comprehensive literature review on applications of economic and pricing theory for resource management in the evolving fifth generation (5G) wireless networks. The 5G wireless networks are envisioned to overcome existing limitations of cellular networks in terms of data rate, capacity, latency, energy efficiency, spectrum efficiency, coverage, reliability, and cost per information transfer. To achieve the goals, the 5G systems will adopt emerging technologies such as massive Multiple-Input Multiple-Output (MIMO), mmWave communications, and dense Heterogeneous Networks (HetNets). However, 5G involves multiple entities and stakeholders that may have different objectives, e.g., high data rate, low latency, utility maximization, and revenue/profit maximization. This poses a number of challenges to resource management designs of 5G. While the traditional solutions may neither efficient nor applicable, economic and pricing models have been recently developed and adopted as useful tools to achieve the objectives. In this paper, we review economic and pricing approaches proposed to address resource management issues in the 5G wireless networks including user association, spectrum allocation, and interference and power management. Furthermore, we present applications of economic and pricing models for wireless caching and mobile data offloading. Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to the 5G wireless networks.architecture and functionality needs of 5G. Horizon 2020 [2], the biggest EU Research and Innovation programme, provides funding for the 5G-Public Private Partnership (5G-PPP) to deliver solutions, architectures, technologies and standards for the ubiquitous 5G communications infrastructures.The primary technologies proposed for 5G are [3] massive Multiple-Input Multiple-Output (MIMO), dense Heterogeneous Networks (HetNets), mmWave communication, fullduplex communication, Device-to-Device (D2D) communication, energy-aware communication and energy harvesting, Cloud-Based Radio Access Networks (C-RANs), the virtualization of network resources, and so on. Compared to 4G cellular networks, 5G is expected to [3] (i) improve at least 1000 times of throughput, (ii) support higher network densification, (iii) reduce significantly latency, (iv) improve energy efficiency, and (vi) support a high density of mobile broadband users, D2D, ultra reliable, and massive Machine-Type-Communications (MTC).However, the adoption of the emerging technologies introduces challenges for the radio resource management such as user association, spectrum allocation, interference and power management. The reasons are (i) the heterogeneity and dense deployment of wireless devices, (ii) the heterogeneous radio resources, (iii) the coverage and traffic load imbalance of Base Stations (BSs), (iv) the high frequency of handovers, (v) the constraints of the fronthaul and backhaul capacities, and (vi) a large number of users and stakeholders wi...

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Section: System Utility Maximizationmentioning

confidence: 99%

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Luong

Wang

Niyato

et al. 2019

IEEE Commun. Surv. Tutorials

111

View full text Add to dashboard Cite

show abstract

“…Whilst the aforementioned work is similar to ours only in terms of the adopted methodology, the work in [24]- [32] share with ours the same context and application arena targeting the techno-economic interactions arising among multiple stakeholders of mobile radio networks. Among [24]- [32], [25]- [29] also resort to variants of the Stackelberg game.…”

Section: Related Workmentioning

confidence: 99%

“…Along the same lines, [29] proposes a similar MLFG which however also accounts for a Small Cell Provider (SCP) (analogous to an InP in our framework), which leases small cell BSs to the NSPs. The interaction among the SCP and the NSPs is modeled through an additional OLMFSG in which the SCP acts as the leader by announcing the spectrum price per small cell BS and NSPs are followers deciding the amount of spectrum to purchase to maximize their individual payoffs.…”

Section: Related Workmentioning

confidence: 99%

“…The interaction among the SCP and the NSPs is modeled through an additional OLMFSG in which the SCP acts as the leader by announcing the spectrum price per small cell BS and NSPs are followers deciding the amount of spectrum to purchase to maximize their individual payoffs. The work in [29] is substantially different from ours: (i) a single SCP is considered in [29], while we have multiple InPs; (ii) since the SCP available spectrum is not bounded in [29], given the spectrum price offered by the SCP, each NSP can derive its optimal amount of spectrum independently, i.e., there is no real competition among the NSPs at stage 2 of the OLMFSG; (iii) while in [29] end users select a service from one of the NSPs, in our framework the user -SP association is given. 2 In [32], the available Physical Resource Blocks (PRBs) of a BS in a C-RAN have to be split among an eMBB, a mMTC slice and an URLLC slice, each requesting a minimum amount.…”

Section: Related Workmentioning

confidence: 99%

“…Even though our proposed framework is per se generic and bears conceptual and formulation similarities with [28] and [29], one of the core contributions of this work is the use of the proposed framework as a means to investigate realistic scenarios in terms of network technologies and related costs, mobile services and related performance requirements, and user tariffing in the context of migrating from 4G to 5G. To this extent, inspired from the usage scenarios for IMT for 2020 and beyond [4], we build up a methodology to evaluate the techno-economic impact of different dimensioning and architectural choices for 5G network.…”

Section: Related Workmentioning

confidence: 99%

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Modeling the Techno-Economic Interactions of Infrastructure and Service Providers in 5G Networks With a Multi-Leader-Follower Game

et al. 2019

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The decoupling of infrastructure from services, which has been so far a mainstream paradigm in the computational and storage domain, is now becoming a paradigm also for mobile networks. Indeed, 5G must provide a variety of services with very diverse requirements, such as throughput, latency, or reliability, and decoupling infrastructure from service provisioning allows to deal with such heterogeneity. In this context, a new business model, involving two different stakeholders, Infrastructure Providers and Service Providers, has emerged. Besides addressing the technical issues, it is also important to study the economic feasibility and behavior of such new paradigm and the techno-economic interactions among the different stakeholders that play different roles in the mobile network market. In this paper, we propose a multi-leader multi-follower variant of the Stackelberg game to model the considered environment. The proposed model is then fed with realistic data and used to analyze the system behavior and the impact of the technological features of the stakeholders on their competitiveness.

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Towards Service-Oriented 5G: Virtualizing the Networks for Everything-as-a-Service

Chang

Zhou

et al. 2018

IEEE Access

Self Cite

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It is widely acknowledged that the forthcoming 5G architecture will be highly heterogeneous and deployed with high degree of density. These changes over the current 4G bring many challenges on how to achieve an efficient operation from the network management perspective. In this article, we introduce a revolutionary vision of the future 5G wireless networks, in which the network is no longer limited by hardware or even software. Specifically, by the idea of virtualizing the wireless networks, which has recently gained increasing attention, we introduce the Everythingas-a-Service (XaaS) taxonomy to light the way towards designing the service-oriented wireless networks. The concepts, challenges along with the research opportunities for realizing XaaS in wireless networks are overviewed and discussed.

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Service provisioning with multiple service providers in 5G ultra-dense small cell networks

Cited by 6 publications

References 15 publications

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Modeling the Techno-Economic Interactions of Infrastructure and Service Providers in 5G Networks With a Multi-Leader-Follower Game

Towards Service-Oriented 5G: Virtualizing the Networks for Everything-as-a-Service

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