Abstract
In this paper, we consider a communication scenario where relay users assist nearby a pair of D2D users underlaying cellular network. In our communication scenario, we analyze not only fading channel model but also different traffic models. In order to jointly consider the impact of interference level and network traffic condition, the packet loss probability (PLP) of D2D link is carefully orchestrated from two perspectives, i.e., link outage probability and packet delivery failure probability. The closed-form expressions of them are respectively obtained based on a Rician–Rayleigh fading model and different traffic models, and then the performance of our relay-aided D2D communication scenario is evaluated by the PLP of D2D link. Finally, the PLP of D2D link with three representative traffic models including Pareto, FBM, and Poisson traffic models are compared, respectively. We believe that the proposed analytical approach can provide a useful insight into the application of traffic model in relay-aided D2D communications.
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References
Liu, J., Kato, N., Ma, J., Kadowaki, N.: Device-to-device communication in LTE-advanced networks: a survey. IEEE Commun. Surv. Tutor. 17(4), 1923–1940 (Fourthquarter 2015)
Wei, L., Hu, R.Q., Qian, Y., Wu, G.: Energy efficiency and spectrum efficiency of multihop device-to-device communications underlaying cellular networks. IEEE Trans. Veh. Technol. 65(1), 367–380 (2016)
Hasan, M., Hossain, E., Kim, D.I.: Resource allocation under channel uncertainties for relay-aided device-to-device communication underlaying LTE-A cellular networks. IEEE Trans. Wirel. Commun. 13(4), 2322–2338 (2014)
Huang, J., Huang, S., Xing, C.C., Qian, Y.: Game-theoretic power control mechanisms for device-to-device communications underlaying cellular system. IEEE Trans. Veh. Technol. 67, 1–1 (2018)
Huang, J., Gharavi, H.: Performance analysis of relay-based two-way D2D communications with network coding. IEEE Trans. Veh. Technol. PP(99), 1–1 (2018)
Penda, D.D., Risuleo, R.S., Valenzuela, P.E., Johansson, M.: Optimal power control for D2D communications under Rician fading: a risk theoretical approach. In: GLOBECOM 2017 - 2017 IEEE Global Communications Conference, pp. 1–6 (2017). https://doi.org/10.1109/GLOCOM.2017.8254838
Lin, M., Ouyang, J., Zhu, W.P.: Joint beamforming and power control for device-to-device communications underlaying cellular networks. IEEE J. Sel. Areas Commun. 34(1), 138–150 (2016)
Kim, J., Kim, S., Bang, J., Hong, D.: Adaptive mode selection in D2D communications considering the bursty traffic model. IEEE Commun. Lett. 20(4), 712–715 (2016)
Huang, S., Liang, B., Li, J.: Distributed interference and delay aware design for D2D communication in large wireless networks with adaptive interference estimation. IEEE Trans. Wirel. Commun. 16(6), 3924–3939 (2017)
Norros, I.: On the use of fractional Brownian motion in the theory of connectionless networks. IEEE J. Sel. Areas Commun. 13(6), 953–962 (1995)
Yao, Y.D., Sheikh, A.U.H.: Outage probability analysis for microcell mobile radio systems with cochannel interferers in Rician/Rayleigh fading environment. Electron. Lett. 26(13), 864–866 (1990)
Rodrfguez-Dagnino, R.M.: Some remarks regarding asymptotic packet loss in the Pareto/M/1/K queueing system. IEEE Commun. Lett. 9(10), 927–929 (2005)
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Huang, J., Liao, Y., Zhou, Y. (2019). Performance Analysis of Relay-Aided D2D Communications with Traffic Model. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_53
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DOI: https://doi.org/10.1007/978-3-030-06161-6_53
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