Joint User-Association and Resource-Allocation in Virtualized C-RAN
The Cloud Radio Access Network (C-RAN), which is a novel architecture, has been proposed as a promising solution to overcome the challenges of Next Generation (5G) cellular networks, in terms of efficiency, capacity, scalability, flexibility and sustainability in a cost-effective way. In this paper, we develop an efficient resource allocation scheme in the fronthaul-constrained C-RAN to support users of different slices (service providers). Multiple slices (service providers) share the resource of an InP, each slice has its own quality-of-service (QoS) requirement. In specific, we formulate an optimization problem for maximizing network throughput by joint subcarrier, power allocation and user-RRH association assignment in the downlink transmission of C-RAN. This problem is NP-hard, therefore, we introduce a two-step suboptimal algorithm to solve it. The original problem is decomposed into joint power and subcarrier allocation subproblem and user-RRH association assignment subproblem. Firstly, we solving the user-RRH association subproblem under the fronthaul capacity constraint by the binary search algorithm. Then the dual decomposition algorithm is used to solve the power and subcarrier allocation subproblem. Simulation results demonstrate the effectiveness of our proposed algorithm.
KeywordsVirtualized C-RAN Fronthaul constrained Joint subcarrier Power and user-RRH association assignment
This work was supported in part by the National High Technology Research and Development Program (863 Program) of China under Grant No. 2014AA01A707.
- 3.Huang, J., Duan, R., Cui, C., Chih-Lin, I.: Overview of cloud RAN. In: Proceedings of URSI General Assembly and Scientific Symposium (URSI GASS), Beijing, pp. 1–4, April 2014Google Scholar
- 4.Sun, Y., Li, C., Huang, Y., Yang, L.: Energy-efficient resource allocation in C-RAN with fronthaul rate constraints. In: Proceedings of International Conference on Wireless Communications Signal Processing (WCSP), Yangzhou, pp. 1–6, August 2016Google Scholar
- 5.Yoo, T.: Network slicing architecture for 5G network. In: Proceedings of International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, South Korea, pp. 1010–1014, October 2016Google Scholar
- 6.Pries, R., Morper, H.J., Galambosi, N., Jarschel, M.: Network as a service - a demo on 5G network slicing. In: Proceedings of International Teletraffic Congress (ITC), Wrzburg, Germany, pp. 209–211, September 2016Google Scholar
- 8.Kamel, M.I., Le, L.B., Girard, A.: LTE wireless network virtualization: dynamic slicing via flexible scheduling. In: Proceedings of IEEE, Vehicular Technology Conference (VTC), Vancouver, BC, pp. 1–5, September 2014Google Scholar
- 11.Liu, L., Zhang, R.: Downlink SINR balancing in C-RAN under limited fronthaul capacity. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, pp. 3506–3510, May 2016Google Scholar
- 14.Fallgren, M.: An optimization approach to joint cell, channel and power allocation in multicell relay networks. IEEE Trans. Wirel. Commun. 11(8), 2868–2875 (2012)Google Scholar