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Dynamic Power Control and Scheduling in Full Duplex Cellular Network with D2D

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Abstract

Full duplex (FD) and device-to-device (D2D) communications are being considered in urban small cell deployment to meet the increasing mobile data traffic. Though FD communications have the potential to double the network capacity, introducing both FD and D2D communications in small cell networks give rise to complex interference and resource management issues. With an intelligent resource scheduling algorithm the spectral efficiency and the capacity of the small cell networks can be increased. In this paper, using mathematical model, we show that controlling transmission power in a small cell network can reduce interferences between the user equipments (UEs) and FD base station (FDBS). We also propose two heuristic user selection and power assignment algorithms hUSPAAs, a distributed hUSPAA (dhUSPAA) and a joint hUSPAA (jhUSPAA). Using hUSPAAs the FDBS can perform more simultaneous transmissions in the presence of D2D links. In order to study the performance of the proposed algorithms, we find optimal user selection and power assignment oUSPAA by solving NLP model. Simulation results show that oUSPAA supports simultaneous transmissions (DL + D2D, UL + D2D, DL + UL, DL + UL + D2D) for 80% of the time intervals. The aggregate throughput of the system obtained using oUSPAA is 5.5% and 20.5% greater than that obtained in Half Duplex (HD) and when FDBS operates at peak power, respectively, at 65 dB Self-Interference Cancellation (SIC). Also, power control in the heuristics reduces the energy consumption as compared to FDBS operating at peak power.

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References

  1. Goyal, S., Liu, P., Panwar, S., DiFazio, R. A., Yang, R., Li, J., et al. (2014). Improving small cell capacity with common-carrier full duplex radios. In 2014 IEEE international conference on communications (ICC) (pp. 4987–4993). IEEE.

  2. Feng, D., Lu, L., Yuan-Wu, Y., Li, G. Y., Feng, G., & Li, S. (2013). Device-to-device communications underlaying cellular networks. IEEE Transactions on Communications, 61(8), 3541–3551.

    Article  Google Scholar 

  3. Bastug, E., Bennis, M., & Debbah, M. (2014). Social and spatial proactive caching for mobile data offloading. In 2014 IEEE International Conference on Communications Workshops (ICC) (pp. 581–586). IEEE.

  4. Nguyen, D., Tran, L.-N., Pirinen, P., & Latva-aho, M. (2014). On the spectral efficiency of full-duplex small cell wireless systems. IEEE Transactions on Wireless Communications, 13(9), 4896–4910.

    Article  Google Scholar 

  5. Zeng, Y., & Zhang, R. (2015). Full-duplex wireless-powered relay with self-energy recycling. IEEE Wireless Communications Letters, 4(2), 201–204.

    Article  Google Scholar 

  6. Song, L., Li, Y., & Han, Z. (2015). Resource allocation in full-duplex communications for future wireless networks. IEEE Wireless Communications, 22(4), 88–96.

    Article  Google Scholar 

  7. Bharadia, D., McMilin, E., & Katti, S. (2013). Full duplex radios. In ACM SIGCOMM computer communication review (Vol. 43, pp. 375–386). ACM.

  8. Kim, D., Lee, H., & Hong, D. (2015). A survey of in-band full-duplex transmission: From the perspective of phy and mac layers. IEEE Communications Surveys & Tutorials, 17(4), 2017–2046.

    Article  Google Scholar 

  9. Sultan, R., Song, L., & Han, Z. (2014). Impact of full duplex on resource allocation for small cell networks. In 2014 IEEE Global Conference on GlobalSIP (pp. 1257–1261). IEEE.

  10. Sciancalepore, V., Giustiniano, D., Banchs, A., & Picu, A. (2015). Offloading cellular traffic through opportunistic communications: Analysis and optimization. IEEE Journal on Selected Areas in Communications.

  11. Lee, J., Gu, J., Bae, S. J., & Chung, M. Y. (2013). A resource allocation scheme for improving user fairness in device-to-device communication based on cellular networks. In Proceedings of the 7th international conference on ubiquitous information management and communication (p. 112). ACM.

  12. Yu, G., Xu, L., Feng, D., Yin, R., Li, G. Y., & Jiang, Y. (2014). Joint mode selection and resource allocation for device-to-device communications. IEEE Transactions on Communications, 62(11), 3814–3824.

    Article  Google Scholar 

  13. Ji, M., Caire, G., & Molisch, A. F. (2016). Wireless device-to-device caching networks: Basic principles and system performance. IEEE Journal on Selected Areas in Communications, 34(1), 176–189.

    Article  Google Scholar 

  14. Bastug, E., Bennis, M., & Debbah, M. (2014). Think before reacting: Proactive caching in 5g small cell networks.

  15. Bastug, E., Bennis, M., & Debbah, M. (2014). Anticipatory caching in small cell networks: A transfer learning approach. In 1st KuVS workshop on anticipatory networks.

  16. Golrezaei, N., Dimakis, A. G., & Molisch, A. F. (2012). Device-to-device collaboration through distributed storage. In 2012 IEEE global communications conference (GLOBECOM) (pp. 2397–2402). IEEE.

  17. Semiari, O., Saad, W., Valentin, S., Bennis, M., & Poor, H. V. (2015). Context-aware small cell networks: How social metrics improve wireless resource allocation. IEEE Transactions on Wireless Communications, 14(11), 5927–5940.

    Article  Google Scholar 

  18. Asadi, A., Wang, Q., & Mancuso, V. (2014). A survey on device-to-device communication in cellular networks. IEEE Communications Surveys & Tutorials, 16(4), 1801–1819.

    Article  Google Scholar 

  19. Chen, B., Yang, C., & Xiong, Z. (2017). Optimal caching and scheduling for cache-enabled d2d communications. IEEE Communications Letters, 21, 1155–1158.

    Article  Google Scholar 

  20. 3GPP, Evolved universal terrestial radio access (E-UTRA); Physical layer procedures. Technical Report TS 36.213, Feb 2013.

  21. Jain, R., Chiu, D.-M., & Hawe, W. R. (1984). A quantitative measure of fairness and discrimination for resource allocation in shared computer system (Vol. 38). Hudson, MA: Eastern Research Laboratory: Digital Equipment Corporation.

    Google Scholar 

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Acknowledgements

This work was supported by the Deity, Govt of India (Grant No. 13(6)/2010CC&BT).

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Correspondence to Vanlin Sathya.

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Ramamurthy, A., Sathya, V., Ghosh, S. et al. Dynamic Power Control and Scheduling in Full Duplex Cellular Network with D2D. Wireless Pers Commun 104, 695–726 (2019). https://doi.org/10.1007/s11277-018-6045-2

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