SDN Based Optimal User Cooperation and Energy Efficient Resource Allocation in Cloud Assisted Heterogeneous Networks

被引：0

作者：

Zhang Y. ^{[1
]}

Wang Y. ^{[1
]}

Fan B. ^{[1
]}

机构：

[1] State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing

来源：

IEEE Access | 2017年 / 5卷

关键词：

C-RAN; Energy efficiency; optimization; resource management; SDN; user cooperation;

D O I：

10.1109/ACCESS.2017.2649489

中图分类号：

学科分类号：

摘要：

Cloud radio access network (C-RAN) is considered to be a promising architecture for the future network due to its competitive advantage in both spectral efficiency and energy efficiency (EE). However, the tremendous increase in the mobile data traffic lead resource allocation in C-RANs to be less flexible and efficient. To solve this problem, an energy efficient resource allocation scheme for uplink C-RAN is investigated, and its software-based architecture, which provides the proposed framework in a software-defined network fashion is designed. The proposed framework analyzes the information from the data plane, and completes the resource allocation process in the control plane. In the control plane, a relay region selection algorithm is designed to reduce the computational complexity after the user classification module. Then an optimal power allocation, relay selection and network selection scheme with total power constraint, quality of service requirements, and radio resource constraints are proposed to maximize EE. Based on the dual decomposition method and the Dinkelbach method, optimal power allocation, relay selection, and network selection can be obtained from the reformulated convex problem. Numerical results demonstrate the effectiveness of the proposed scheme. © 2013 IEEE.

引用

页码：1469 / 1481

页数：12

共 30 条

[1]

Wang Y., Miao Z., Zhang P., Research progress and key technologies in ultra dense networks, J. Beijing Univ. Posts Telecommun., 38, 5, pp. 1-17, (2015)

[2]

Wang R., Hu H., Yang X., Potentials and challenges of C-RAN supporting multi-RATs toward 5G mobile networks, IEEE Access, 2, pp. 1187-1195, (2014)

[3]

Jararweh Y., Al Ayyoub M., Doulat A., Al Abed Al Aziz A., Salameh H.A.B., Khreishah A.A., SD-CRN: Software defined cognitive radio network framework, Proc. IEEE Int. Conf. Cloud Eng. (ICE), pp. 592-597, (2014)

[4]

Wang K., Zhao M., Zhou W., Traffic-aware graph-based dynamic frequency reuse for heterogeneous cloud-RAN, Proc. IEEE Global Commun. Conf. (GLOBECOM), pp. 2308-2313, (2014)

[5]

Wang Y., Zhang Y., Chen Y., Wei R., Energy-efficient design of twotier femtocell networks, EURASIP J. Wireless Commun. Netw., 1, pp. 1-15, (2015)

[6]

Zhang H., Ji H., Li X., Energy efficient resource allocation over cloud-RAN based heterogeneous network, Proc. IEEE Conf. Cloud Comput. Technol. Sci., pp. 483-486, (2015)

[7]

Zhang Y., Wang Y., Zhang W., Energy efficient resource allocation for heterogeneous cloud radio access networks with user cooperation and QoS guarantees, Proc. IEEE Wireless Commun. Netw. Conf. (WCNC), pp. 1-6, (2016)

[8]

Alhumaima R.S., Khan M., Al-Raweshidy H.S., Modelling the energy efficiency of heterogeneous cloud radio access networks, Proc. IEEE Int. Conf. Emerg. Technol. (ICET), pp. 1-6, (2015)

[9]

Kim Y., Miao G., Hwang T., Energy efficient pilot and link adaptation for mobile users in TDD multi-userMIMOsystems, IEEE Trans. Wireless Commun., 13, 1, pp. 382-393, (2014)

[10]

Ismail M., Gamage A.T., Zhuang W., Shen X., Serpedin E., Qaraqe K., Uplink decentralized joint bandwidth and power allocation for energyef ficient operation in a heterogeneous wireless medium, IEEE Trans. Commun., 63, 4, pp. 1483-1495, (2015)

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