Energy Efficient Resource Allocation in Cloud Based Integrated Terrestrial-Satellite Networks

In this paper, we propose an architecture of cloud based integrated terrestrial-satellite networks, in which satellite and terrestrial networks that belong to the same operator cooperatively provide seamless coverage for mobile users. Meanwhile, a resource pool at the cloud acts as the integrated resource management and control center of the entire network. Then, based on the delay constraint of users, we formulate the resource allocation problem for the operator to minimize the energy consumption. By decomposing the optimization problem into two subproblems and utilizing the theory of multidimensional knapsack problem, we eventually obtain the optimal resource allocation strategies for the operator. Furthermore, numerical results are provided to evaluate the performance of the proposed strategies.

[1]  Ning Ge,et al.  Non-Orthogonal Multiple Access Based Integrated Terrestrial-Satellite Networks , 2017, IEEE Journal on Selected Areas in Communications.

[2]  Rui Zhang,et al.  Downlink and Uplink Energy Minimization Through User Association and Beamforming in C-RAN , 2014, IEEE Transactions on Wireless Communications.

[3]  Wei-Ping Zhu,et al.  Secure Transmission in Cognitive Satellite Terrestrial Networks , 2016, IEEE Journal on Selected Areas in Communications.

[4]  Min Sheng,et al.  Exploiting Hybrid Clustering and Computation Provisioning for Green C-RAN , 2016, IEEE Journal on Selected Areas in Communications.

[5]  Kezhi Wang,et al.  Joint Energy Minimization and Resource Allocation in C-RAN with Mobile Cloud , 2015, IEEE Transactions on Cloud Computing.

[6]  Olga Galinina,et al.  5G Multi-RAT LTE-WiFi Ultra-Dense Small Cells: Performance Dynamics, Architecture, and Trends , 2015, IEEE Journal on Selected Areas in Communications.

[7]  Daniel Cygan,et al.  The land mobile satellite communication channel-recording, statistics, and channel model , 1991 .

[8]  Muhammad Ali Imran,et al.  Semi-Adaptive Beamforming for OFDM Based Hybrid Terrestrial-Satellite Mobile System , 2012, IEEE Transactions on Wireless Communications.

[9]  Symeon Chatzinotas,et al.  Multicast Multigroup Precoding and User Scheduling for Frame-Based Satellite Communications , 2014, IEEE Transactions on Wireless Communications.

[10]  Zhu Han,et al.  Resource Allocation in Space Multiaccess Systems , 2017, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Andres Garcia-Saavedra,et al.  5G-Crosshaul: An SDN/NFV Integrated Fronthaul/Backhaul Transport Network Architecture , 2017, IEEE Wireless Communications.

[12]  Shengyao Wang,et al.  A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem , 2013, Knowl. Based Syst..

[13]  Mohsen Guizani,et al.  Cooperative earth observation through complex space information networks , 2016, IEEE Wireless Communications.

[14]  Michael S. Berger,et al.  Cloud RAN for Mobile Networks—A Technology Overview , 2015, IEEE Communications Surveys & Tutorials.

[15]  Yongming Huang,et al.  Performance Analysis of Multi-Antenna Hybrid Satellite-Terrestrial Relay Networks in the Presence of Interference , 2015, IEEE Transactions on Communications.