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An intra–inter-cell device-to-device communication scheme to enhance 5G network throughput with delay modeling

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Abstract

As the number of mobile users is growing, so is the demand for more bandwidth. It becomes important that the required bandwidth and spectral resources do not scale with traffic in the next generation of wireless networks [i.e. fifth generation (5G)]. Device-to-device (D2D) communication underlaying cellular networks has been recognized as an essential technique in 5G networks. By applying definite principles and strategies, D2D communication not only increases the spectral and energy efficiency, but also enhances network throughput, network coverage and reduces delay. In this paper, we present an intra–inter-cell D2D communication scheme to enhance throughput of 5G networks. We study call setup delay of two developed communication scenarios and throughput gain comparing three systems. Firstly, we show the enhancements required in current cellular architectures to support inter-cell D2D communication. We develop protocols for two scenarios and demonstrate how architecture entities cooperate for the call setup between D2D users. We measure the overall call setup time for the developed protocols and derive a closed-form delay formula to estimate call setup time probability. Secondly, we perform simulations using a topology similar to that found in realistic urban environments to study throughput gains of the proposed intra–inter-cell D2D communication scheme. We compare three systems in terms of throughput: (1) pure cellular system (with cellular users only), (2) pure cellular system with intra-cell D2D users sharing the same cellular resource, and (3) pure cellular system with intra–inter-cell D2D users sharing the same cellular resource. Simulation results show that the proposed scheme substantially increases the network throughput and spectrum efficiency.

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References

  1. Alsharif, M. H., & Nordin, R. (2017). Evolution towards fifth generation (5G) wireless networks: Current trends and challenges in the deployment of millimetre wave, massive MIMO, and small cells. Telecommunication Systems, 64(4), 617–637.

    Article  Google Scholar 

  2. Zhang, Z., Zhang, W., Zeadally, S., Wang, Y., & Liu, Y. (2015). Cognitive radio spectrum sensing framework based on multi-agent architecture for 5G networks. IEEE Wireless Communications, 22(6), 34–39.

    Article  Google Scholar 

  3. Shah, S. T., Hasan, S. F., Seet, B.-C., Chong, P. H. J., & Chung, M. Y. (2017). Device-to-device communications: A contemporary survey. Wireless Personal Communications. https://doi.org/10.1007/s11277-017-4918-4.

    Article  Google Scholar 

  4. Zou, J., Wang, M., Zhang, J., Shu, F., Wang, J., Qian, Y., et al. (2013). Discovery signal design and its application to peer-to-peer communications in OFDMA cellular networks. IEEE Transactions on Wireless Communications, 12(8), 3995–4009.

    Article  Google Scholar 

  5. Mustafa, H. A., Shakir, M. Z., Sambo, Y. A., Qaraqe, K. A., Imran, M. A., & Serpedin, E. (2014). Spectral efficiency improvements in HetNets by exploiting device-to-device communications. Globecom Workshops (GC Wkshps) (pp. 857–862).

  6. Choi, K. W., & Han, Z. (2015). Device-to-device discovery for proximity-based service in LTE-advanced system. IEEE Journal on Selected Areas in Communications, 33(1), 55–66.

    Article  Google Scholar 

  7. Golrezaei, N., Mansourifard, P., Molisch, A. F., & Dimakis, A. G. (2014). Base-station assisted device-to-device communications for high-throughput wireless video networks. IEEE Transactions on Wireless Communications, 13(7), 3665–3676.

    Article  Google Scholar 

  8. Raghothaman, B., Deng, E., Pragada, R., Sternberg, G., Deng, T., & Vanganuru, K. (2013). Architecture and protocols for LTE-based device to device communication. In International conference on computing, networking and communications (ICNC). https://doi.org/10.1109/iccnc.2013.6504208.

  9. Vanganuru, K., Ferrante, S., & Sternberg, G. (2012). System capacity and coverage of a cellular network with D2D mobile relays. IEEE Military Communications Conference. https://doi.org/10.1109/milcom.2012.6415659.

  10. Arain, Q. A., Uqaili, M. A., Deng, Z., Memon, I., Jiao, J., Shaikh, M. A., et al. (2016). Clustering based energy efficient and communication protocol for multiple mix-zones over road networks. Wireless Personal Communications, 95(2), 411–428. https://doi.org/10.1007/s11277-016-3900-x.

    Article  Google Scholar 

  11. Memon, I., Ali, Q., Zubedi, A., & Mangi, F. A. (2016). DPMM: dynamic pseudonym-based multiple mix-zones generation for mobile traveler. Multimedia Tools and Applications, 76(22), 24359–24388. https://doi.org/10.1007/s11042-016-4154-z.

    Article  Google Scholar 

  12. Feng, H., Wang, H., Xu, X., & Xing, C. (2014). A tractable model for device-to-device communication underlaying multi-cell cellular networks. In IEEE international conference on communications (ICC) (pp. 587–591).

  13. Yang, Y., Quan, Q., Li, J., Peng, T., & Wang, W. (2013). Network assisted mode selection in multi-cell for D2D communication underlaying LTE-A system. In IEEE international conference on communication technology (ICCT) (pp. 110–114).

  14. Dan, N., Li, B., Lan, B., & Junren, C. (2013). Resource allocation over cooperation for cross-cell D2D communication underlaying LTE network. In IEEE international conference of IEEE region 10 (TENCON 2013) (pp. 1–4).

  15. Xu, S., Wang, H., & Chen, T. (2012). Effective interference cancellation mechanisms for D2D communication in multi-cell cellular networks. In IEEE 75th vehicular technology conference (VTC Spring). https://doi.org/10.1109/vetecs.2012.6240205.

  16. Murkaz, A., Hussain, R., Hasan, S. F., Chung, M. Y., Seet, B. C., Chong, P. H. J., Shah, S. T., & Malik, S. A. (2016). Architecture and protocols for inter-cell device-to-device communication in 5G networks. In Dependable, autonomic and secure computing, 14th international conference on pervasive intelligence and computing, 2nd international conference on big data intelligence and computing and cyber science and technology congress (DASC/PiCom/DataCom/CyberSciTech) (pp. 489–492).

  17. Teyeb, O., Phan, V. V., Raaf, B., & Redana, S. (2009). Dynamic relaying in 3GPP LTE-advanced networks. EURASIP Journal on Wireless Communications and Networking, 2009(1), 731317. https://doi.org/10.1155/2009/731317.

    Article  Google Scholar 

  18. Savic, Z. (2011). LTE design and deployment strategies. https://www.cisco.com/c/dam/global/en_ae/assets/expo2011/saudiarabia/pdfs/lte-design-and-deployment-strategies-zeljko-savic.pdf.

  19. Mohan, S., Kapoor, R., & Mohanty, B. (2011). Latency in HSPA data networks. https://www.qualcomm.com/documents/qualcomm-research-latency-hspa-data-networks.

  20. Xiao, Q., Zhou, W., Cui, B., & Li, L. (2014). An enhancement for key management in LTE/SAE X2 handover based on ciphering key parameters. In 2014 ninth international conference on P2P, parallel, grid, cloud and internet computing. https://doi.org/10.1109/3pgcic.2014.73.

  21. Holma, H., & Toskala, A. (Eds.). (2009). LTE for UMTS: OFDMA and SC-FDMA based radio access. New York: Wiley.

    Google Scholar 

  22. Sadeghi, M., & Barati, M. (2012). Performance analysis of Poisson and Exponential distribution queuing model in local area network. In 2012 international conference on computer and communication engineering (ICCCE). https://doi.org/10.1109/iccce.2012.6271237.

  23. Oguntunde, P. E., Odetunmibi, O., & Adejumo, A. (2013). On the sum of exponentially distributed random variables: A convolution approach. European Journal of Statistics and Probability, 2(1), 1–8.

    Google Scholar 

  24. Devianto, D., Maiyastri, L. O., & Anas, M. (2015). Convolution of generated random variable from exponential distribution with stabilizer constant. Applied Mathematical Sciences, 9(96), 4781–4789.

    Article  Google Scholar 

  25. Hina, M., & Sohaib, S. (2017). Centralized dynamic frequency allocation for cell-edge demand satisfaction in fractional frequency reuse networks. Telecommunication Systems, 65(4), 795–808.

    Article  Google Scholar 

  26. Salim, U., & Slock, D. (2011). Average minimum transmit power to achieve SINR targets: Performance comparison of various user selection algorithms. EURASIP Journal on Wireless Communications and Networking. https://doi.org/10.1186/1687-1499-2011-127.

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Correspondence to Riaz Hussain.

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Murkaz, A., Hussain, R., Ahmed, J. et al. An intra–inter-cell device-to-device communication scheme to enhance 5G network throughput with delay modeling. Telecommun Syst 69, 461–475 (2018). https://doi.org/10.1007/s11235-018-0449-x

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