Abstract
By applying caching resource at the remote radio heads (RRHs), the fog radio access network (Fog-RAN) has been considered as an promising wireless architecture in the future network to reduce the transmission delay and release the heavy burden of backhaul link for huge data delivery. In this paper, we propose to use the Fog-RAN to assist the data transmission in the high-speed railway scenario. In specific, we investigate the dynamic resource allocation in high-speed railway Fog-RAN systems by considering the delay constraint. The instantaneous power allocation at the RRHs and the instantaneous content delivery rate over the backhaul links are jointly optimized with an aim to minimize the total power consumed at the RRHs and over the backhaul links. An alternating optimization (AO) approach is used to find solutions of the instantaneous power and instantaneous content delivery rate in two separate subproblems. The closed-form solutions are derived in two subproblems under certain special conditions. Simulation results demonstrate that the proposed dynamic resource allocation is significantly superior to the constant resource allocation scheme.
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References
Yan, D., Wang, R., Liu, E., Hou, Q.: ADMM-based robust beamforming design for downlink cloud radio access networks. IEEE Access 6, 27912–27922 (2018)
Peng, M., Zhang, K.: Recent advances in fog radio access networks: performance analysis and radio resource allocation. IEEE Access 4, 5003–5009 (2016)
Liu, J., Sheng, M., Quek, T.Q.S., Li, J.: D2D enhanced co-ordinated multipoint in cloud radio access networks. IEEE Trans. Wirel. Commun. 15(6), 4248–4262 (2016)
Wang, R., Li, R., Wang, P., Liu, E.: Analysis and optimization of caching in fog radio access networks. IEEE Trans. Veh. Technol. 68(8), 8279–8283 (2019)
Zhang, H., Zhu, L., Long, K., Li, X.: Energy efficient resource allocation in millimeter-wave-based fog radio access networks. In: 2nd URSI Atlantic Radio Science Meeting (AT-RASC), Meloneras, pp. 1–4 (2018)
Tao, M., Chen, E., Zhou, H., You, W.: Content-centric sparse multicast beamforming for cache-enabled cloud RAN. IEEE Trans. Wirel. Commun. 15(9), 6118–6131 (2016)
Ai, B., et al.: Future railway services-oriented mobile communications network. IEEE Commun. Mag. 53(10), 78–85 (2015)
Wu, J., Fan, P.: A survey on high mobility wirless communications: challenges, oppportunities and solutions. IEEE Access 4, 450–476 (2016)
Muneer, P., Sameer, S.M.: Joint ML estimation of CFO and channel, and a low complexity turbo equalization technique for high mobility OFDMA uplinks. IEEE Trans. Wirel. Commun. 14(7), 3642–3654 (2015)
Wang, J., Zhu, H., Gomes, N.J.: Distributed antenna systems for mobile communications in high speed trains. IEEE J. Sel. Areas Commun. 30(4), 675–683 (2012)
Li, T., Xiong, K., Fan, P., Letaief, K.B.: Service-oriented power allocation for high-speed railway wireless communications. IEEE Access 5, 8343–8356 (2017)
Zhang, C., Fan, P., Xiong, K., Fan, P.: Optimal power allocation with delay constraint for signal transmission from a moving train to base stations in high-speed railway scenarios. IEEE Trans. Veh. Technol. 64(12), 5775–5788 (2015)
Liu, X., Qiao, D.: Location-fair beamforming for high speed railway communication systems. IEEE Access 6, 28632–28642 (2018)
Acknowledgement
This work was supported in part by the National Science Foundation China under Grant 61771345 and Grant 61831018, in part by the fund of the State Key Laboratory of Integrated Services Networks, Xidian University, under Project ISN19-01, and in part by Guangdong Province Key Research and Development Program Major Science and Technology Projects under Grant 2018B010115002.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, R., Wu, J., Yu, J. (2020). Dynamic Resource Allocation in High-Speed Railway Fog Radio Access Networks with Delay Constraint. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-41114-5_2
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DOI: https://doi.org/10.1007/978-3-030-41114-5_2
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