Abstract
In this paper, we investigate the energy-efficient power control and resource allocation problem in the context of underlaying device-to-device (D2D) communication, which aims to maximize the energy efficiency (EE) of D2D users with power and subchannel optimized while providing the quality of service (QoS) provisioning of the cellular users. We formulate it as a non-convex optimization problem in fractional form and transform it from power of all users to the joint power and subchannel allocation of D2D users. By the properties of fractional programming, we then transfer it into subtractive form and propose an energy-efficient iterative algorithm. To optimize the power and subchannel, we divide the subchannel allocation into two cases, which could be solved by penalty function approach and dual decomposition as well as sub-gradient method respectively. Accordingly, we propose a dual-based algorithm. Numerical results demonstrate that the proposed algorithms outperform a conventional algorithm in terms of energy efficiency.
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References
Unit, E.: Ericsson energy and carbon report: on the impact of networked society. Ericsson (2013). http://www.ericsson.com/res/docs/2013/ericsson-energy-and-carbon-report.pdf
Gupta, A., Jha, R.: A survey of 5G network: architecture and emerging technologies. IEEE Access 3, 1206–1232 (2015)
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutorials 17(4), 2347–2376 (2015)
Whitmore, A., Agarwal, A., Daxu, L.: The internet of things-a survey of topics and trends. Inf. Syst. Front. 17(2), 261–274 (2015). Springer
Fu, Z., Sun, X., Ji, S., Xie, G.: Towards efficient content-aware search over encrypted outsourced data in cloud. In: Proceedings of the 35th Annual IEEE International Conference on Computer Communications, pp. 1–9. IEEE INFOCOM, San Francisco (2016)
Chen, Y., Hao, C., Wu, W., Wu, E.: Robust dense reconstruction by range merging based on confidence estimation. Sci. China Inf. Sci. 59(9), 1–11 (2016). Springer
Kong, Y., Zhang, M., Ye, D.: A belief propagation-based method for task allocation in open and dynamic cloud environments. Knowl.-Based Syst. 115, 123–132 (2017). Elsevier
Sambo, Y., Shakir, M., Qaraqe, K., Serpedin, E.: Energy efficiency improvements in HetNets by exploiting device-to-device communications. In: Signal Processing Conference, pp. 151–155. IEEE (2014)
Xu, Y.: Energy-efficient power control scheme for device-to-device communications. Wirel. Pers. Commun. 94, 481–495 (2015). Springer
Bhadauria, S., Vishwakarma, S.: Energy efficient D2D application for increasing battery usage of smartphones. Int. J. Hybrid Inf. Technol. 9(2), 311–328 (2016)
Xu, Y.: A mode selection scheme for D2D communication in heterogeneous cellular networks. In: Global Communications Conference, pp. 1–6. IEEE (2016)
Gao, C., Sheng, X., Tang, J., Zhang, W., Zou, S., Guizani, M.: Joint mode selection, channel allocation and power assignment for green device-to-device communication. In: International Conference on Communications, pp. 178–183. IEEE (2014)
Yu, C., Tirkkonen, O., Doppler, K., Ribeiro, C.: Power optimization of device-to-device communication underlaying cellular communication. In: International Conference on Communications, pp. 1–5. IEEE (2009)
Zhou, Z., Dong, M., Ota, K., Wu, J., Sato, T.: Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. In: Global Communications Conference, pp. 4454–4459. IEEE (2014)
Jiang, Y., Liu, Q., Zheng, F., Gao, X., You, X.: Energy-efficient joint resource allocation and power control for D2D communications. IEEE Trans. Veh. Technol. 65(8), 6119–6127 (2016). IEEE
Hoang, T., Le, L., Le-Ngoc, T.: Energy-efficient resource allocation for D2D communications in cellular networks. IEEE Trans. Veh. Technol. 65(9), 6972–6986 (2016). IEEE
Dinkelbach, W.: On nonlinear fractional programming. Manage. Sci. 13(7), 492–498 (1967)
Ng, D., Lo, E., Schober, R.: Energy-efficient resource allocation in SDMA systems with large numbers of base station antennas. In: International Conference on Communications, pp. 4027–4032. IEEE (2012)
Xiao, X., Tao, X., Lu, J.: QoS-aware energy-efficient radio resource scheduling in multi-user SDMA systems. Commun. Lett. 17(1), 75–78 (2013). IEEE
Boyd, S., Xiao, L., Mutapcic, A.: Subgradient methods. In: Lecture Notes of EE392o, Stanford University, Autumn Quarter, vol. 2004, pp. 1–21 (2003)
Acknowledgments
The work in this paper was partially supported by the Natural Science Foundation of Jiangsu Province (No. BK20140835), and the Postdoctoral Foundation of Jiangsu Province (No. 1401018B).
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Guan, X., Zhai, X., Yuan, J., Liu, H. (2017). Energy-Efficient Power Control and Resource Allocation for D2D Communications in Underlaying Cellular Networks. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_40
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DOI: https://doi.org/10.1007/978-3-319-68505-2_40
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