Bayesian Coalition Formation Game for Virtual 5G Core Network Functions

Li, Chuanyin; Li, Jiandong; Li, Yuzhou; Han, Zhu

doi:10.1109/access.2019.2902419

Cited by 4 publications

(6 citation statements)

References 38 publications

(45 reference statements)

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“…This approach however assumes that the cost of creating an instance of each VNF (which varies from player to player) for each player is common knowledge to all players. Authors Li et al [100] have addressed this drawback in their algorithm NM-FN, using a Bayesian Coalition formation game. Another application is user grouping.…”

Section: B Coalitional Games In Interference Managementmentioning

confidence: 99%

Coalition Games for Performance Evaluation in 5G and Beyond Networks: A Survey

et al. 2022

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The 5G network is an emerging field of the research community. 5G is a multi-disciplinary network that aims to support a wide range of services. 5G network has an objective to support a massive number of connected devices. Game theory has an extensive role in wireless network management. Game theory is an approach to analyzing and modeling the system where multiple actors have a role in decisionmaking with independent objectives and actions. The game theory is an exciting methodology to control the strategic behavior of players and generate an efficient outcome. Coalition game theory can play a crucial role in ensuring cooperation among a massive number of devices. This article provides insight into the current research trends in 5G using coalition games. The work presented in the survey is divided into three categories, namely resource management, interference management, and miscellaneous. This article also provides the foundation about 5G and coalition games highlight the scope of future research.

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Section: B Coalitional Games In Interference Managementmentioning

confidence: 99%

Coalition Games for Performance Evaluation in 5G and Beyond Networks: A Survey

et al. 2022

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“…Bairagi et al (2016) extended the concept further to allow for a cloud provider to participate in more than one coalition instead of being limited to a single one, to overcome the problem of resource under-utilization. Li et al (2019), cloud federation is used to support hosting of the fifth Generation (5G) of networks. The authors have made use of Bayesian Coalition Formation Game, to address the problem of insufficient amount of information that is needed by the coalition of cloud providers.…”

Section: Literature Reviewmentioning

confidence: 99%

Rationalizing Resource Utilization in Cloud Computing Using Coalition Formation Strategy

Noureldin¹,

Fadel²

2021

Journal of Computer Science

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Even though the contribution of cloud computing towards the Sustainable Development (SD) of communities is still under research investigation, cloud computing has become an integral part of many ICT solutions that shape our daily lives. Thus, some researchers recommend taking considerable actions to point cloud computing development towards supporting SD. In this research, an approach to designing energy efficient cloud architecture as a way of supporting SD is proposed. Resource allocation is a challenging process in cloud management, the goal is to allocate the exact amount of resources needed throughout the service duration; tight enough to avoid unnecessarily wasting resources and loose enough to prevent any degradation in Quality of Service (QoS) that may lead to the violation of the Service Level Agreement (SLA) between the service provider and the cloud user. This study aims to achieve the desired balance by benefiting from the history of the user's behaviour and from sharing resourcesmore specifically Virtual Machines (VM)among a coalition of users. Coalition formation strategy is used to build groups of cloud users based on their cloud behaviour history. Users are grouped in a way that their usage patterns complement each other, either to avoid the loss stemming from VM excess reserved space or from idle times. A type of architecture that fulfils this improvement process is proposed and implemented on Google Compute Engine (GCE). The contribution of this research is that it applies the Coalition formation strategy in cloud computing resource management in a novel way and experiments show that there are scenarios where the efficiency of resource management has improved. Evaluation of the performance of the proposed architecture is done by comparing resource utilization for both the cloud following this architecture and the cloud that runs the basic GCE strategy. In conclusion, it is observed that improvements depend on accuracy of the prediction of usage pattern of the user. Results show that in certain scenarios, improvements can be made to up to 24% of VM usage and, in other scenarios, it can minimize the number of required VMs, thus contributing to green computing.

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“…In [7], the placement of virtual network slice is addressed by deploying AMF, SMF, UPF and AUSF in 5G. In [16], based on Bayesian coalition formation game, the optimal coalition is formulated to deploy AMF, UPF and SMF collaboratively, the number of VNF instances to instantiate and the virtual resources allocated for each instance are optimized to maximize the profit of each cloud provider and guarantee the Quality of Service (QoS).…”

Section: The Key Laboratory Of Universal Wireless Communications For mentioning

confidence: 99%

“…The goal of the DRL agent is to learn the placement policy of the AMF by interacting with the environment to minimize the discounted accumulated network utility in K decision steps, which can be represented by (16):…”

Section: A Drl Based Solution To the Amf Optimal Placementmentioning

confidence: 99%

AMF Optimal Placement based on Deep Reinforcement Learning in Heterogeneous Radio Access Network

Hao

Pang

Zhao

2020

Preprint

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Abstract To support various service requirements such as massive Machine Type Communications, Ultra-Reliable and Low-Latency Communications in 5G scenario, Network Function Virtualization (NFV) plays an important role in the 5G network architecture to manage and orchestrate network services. As the key network function responsible for mobility management, Access and Mobility Management Function (AMF) can be deployed flexibly at the edge of the radio access network to improve the performance of mobility management based on NFV. In this paper, the optimal placement of AMF is addressed based on Deep Reinforcement Learning (DRL) in a heterogeneous radio access network, which aims to minimize the network utility including the average delay of mobility management requests at AMF, the average wired hops to relay the requests and the cost of AMF instances. By considering time-varying features including user mobility and the arrival rate of user mobility management requests, an AMF optimal placement approach is proposed for the long term optimization. Simulation results show that the performance of the proposed DRL based AMF optimal placement approach outperforms that of the baselines.

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Bayesian Coalition Formation Game for Virtual 5G Core Network Functions

Cited by 4 publications

References 38 publications

Coalition Games for Performance Evaluation in 5G and Beyond Networks: A Survey

Coalition Games for Performance Evaluation in 5G and Beyond Networks: A Survey

Rationalizing Resource Utilization in Cloud Computing Using Coalition Formation Strategy

AMF Optimal Placement based on Deep Reinforcement Learning in Heterogeneous Radio Access Network

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