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Two-Layer Game Based Resource Allocation in Cloud Based Integrated Terrestrial-Satellite Networks | IEEE Journals & Magazine | IEEE Xplore

Two-Layer Game Based Resource Allocation in Cloud Based Integrated Terrestrial-Satellite Networks


Abstract:

This paper investigates the cooperative transmission and resource allocation in cloud based integrated terrestrial-satellite networks, where a resource pool at the cloud ...Show More

Abstract:

This paper investigates the cooperative transmission and resource allocation in cloud based integrated terrestrial-satellite networks, where a resource pool at the cloud acts as the integrated resource management and control center of the entire network. Considering the operator offers two levels of services of different quality of service (QoS) and price, we formulate a two-layer game based resource allocation problem to maximize the utility of the operator, which is composed of the Stackelberg game between the operator and users, the evolutionary game between all users, and the energy minimization problem. By solving the evolutionary game with replicator dynamics, the selections of users are obtained for any pricing strategy. Then, based on the service selections of users, the energy minimization problem is solved to allocate power and computation resources among users while satisfying the QoS constraints. By analyzing the evolution relationship between the utility and the pricing strategy, we eventually find the Stackelberg equilibrium point of the system, and obtain the optimal pricing as well as the resource allocation strategies for the operator. Finally, numerical results are provided to analyze the behavior of users in the game model, and evaluate the performance of the optimal pricing and resource allocation strategies.
Page(s): 509 - 522
Date of Publication: 16 March 2020

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I. Introduction

With the rapid development of high-data-rate multimedia services, the wireless data traffic is explosively growing worldwide, which leads to high burden on the current communication networks [1]. To satisfy the increasing demand and relieve the network pressure, the technique of centralized processing is considered as one possible solution in the coming 5G communication networks for more efficient resource utilization [2]. Recently, cloud-based software-defined wireless network (SDWN), which combines the SDWN multi-layer framework with cloud computing, is drawing much more attentions as a promising architecture [3]. In cloud-based SDWN, with a centralized controller in the cloud, the control plane is separated from the data plane, and higher efficiency can then be achieved for resource allocation and better system performance [4].

References

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