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Energy efficiency in cognitive radio assisted D2D communication networks

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Abstract

The next generation networks intend to have features like device to device (D2D) connectivity, energy efficiency and spectral efficiency. This paper presents problem formulation for maximization of energy efficiency of cognitive radio assisted D2D networks subject to compliance of transmit powers of cellular users and interference constraints of primary users of broadcast network. Cognitive radio network (CRN) users are cellular users comprising of cellular and D2D users. Cellular users can opt any of the cellular or D2D mode. These CRN users opportunistically utilize spectrum of television (TV) white spaces. The problem thus formulated is NP-complete. Mesh adaptive direct search (MADS) algorithm has been used to find \(\varepsilon \)-optimal solution. The results of MADS are compared with the global optimal solution obtained by exhaustive search algorithm (ESA). The simulation results reveal that MADS’ performance is equally good as that of ESA in most of the cases. MADS outperforms ESA in terms of energy efficiency comparison. Simulation results compare results of utility value, spectral efficiency and admission of CRN users with two types of utilities, i.e., utility with maximization of energy efficiency and utility without maximization of energy efficiency. Results testify that utility with maximization of energy efficiency outperforms its counterpart utility. MADS is also ideal algorithm as it has low computational complexity as compared to ESA. Computational complexity of ESA increases exponentially as numbers of users increase making MADS obvious choice for real life networks comprising of large number of cellular users.

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References

  1. Darak, S.J., Zhang, H., Palicot, J., & Moy, C. (2015). An efficientpolicy for d2d communications and energy harvesting in cognitiveradios: Go bayesian!. In 2015 23rd European signal processing conference (EUSIPCO). IEEE (pp. 1231–1235).

  2. Lien, S.-Y., Chen, K.-C., Liang, Y.-C., & Lin, Y. (2014). Cognitive radio resource management for future cellular networks. IEEE Wireless Communications, 21(1), 70–79. http://ieeexplore.ieee.org/abstract/document/6757899/

  3. Kebriaei, H., Maham, B., & Niyato, D. (2016). Double-sided bandwidth-auction game for cognitive device-to-device communication in cellular networks. IEEE Transactions on Vehicular Technology, 65(9), 7476–7487.

    Article  Google Scholar 

  4. Chen, X. (2016). Efficient device to device communication underlaying heterogeneous networks. All Graduate Theses and Dissertations, 4673.

  5. Fourati, S., Hamouda, S., & Maharaj, B. T. (2016). Bargaining solutions for energy efficient and fair power allocation in cognitive d2d communications. International Journal of Computer Applications, 155(6), 24–31.

    Article  Google Scholar 

  6. Wu, X., Chen, Y., Yuan, X., & Mkiramweni, M. E. (2014). Joint resource allocation and power control for cellular and device-to-device multicast based on cognitive radio. IET Communications, 8(16), 2805–2813.

    Article  Google Scholar 

  7. Liu, L., Zhang, Y., Liu, S., & Zhang, Z. (2015). Power allocation optimization for d2d communication underlaying cognitive full duplex relay networks. In 11th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2015) (pp. 1–6).

  8. Hu, J., Heng, W., Li, X., & Wu, J. (2017). Energy-efficient resource reuse scheme for d2d communications underlaying cellular networks. IEEE Communications Letters, 21, 2097–2100.

    Google Scholar 

  9. Alnakhli, M., Anand, S., & Chandramouli, R. (2017). Joint spectrum and energy efficiency in device to device communication enabled wireless networks. IEEE Transactions on Cognitive Communications and Networking, 3, 217–225.

    Article  Google Scholar 

  10. He, A., Srikanteswara, S., Bae, K. K., Reed, J. H., & Tranter, W. H. (2010). Energy consumption minimization for mobile and wireless devices-a cognitive approach. IEEE Transactions on Consumer Electronics, 56(3), 1814–1821.

    Article  Google Scholar 

  11. Hmila, M., & Fernández-Veiga, M. (2017). Analysis of optimal power control and energy efficiency in multicast d2d communications. In 2017 2nd international conference on computer and communication systems (ICCCS). IEEE, (pp. 110–115).

  12. Khoshkholgh, M. G., Zhang, Y., Chen, K.-C., Shin, K. G., & Gjessing, S. (2015). Connectivity of cognitive device-to-device communications underlying cellular networks. IEEE Journal on Selected Areas in Communications, 33(1), 81–99.

    Article  Google Scholar 

  13. Sultana, A., Zhao, L., & Fernando, X. (2017). Efficient resource allocation in device-to-device communication using cognitive radio technology. IEEE Transactions on Vehicular Technology, 66(11), 10024–10034.

    Article  Google Scholar 

  14. Zhou, Z., Dong, M., Ota, K., Wu, J., & Sato, T. (2014). Energy efficiency and spectral efficiency tradeoff in device-to-device (d2d) communications. IEEE Wireless Communications Letters, 3(5), 485–488.

    Article  Google Scholar 

  15. Zappone, A., Matthiesen, B., & Jorswieck, E. A. (2017). Energy efficiency in mimo underlay and overlay device-to-device communications and cognitive radio systems. IEEE Transactions on Signal Processing, 65(4), 1026–1041.

    Article  Google Scholar 

  16. Yang, C., Xu, X., Han, J., & Tao, X. (2015). Energy efficiency-based device-to-device uplink resource allocation with multiple resource reusing. Electronics Letters, 51(3), 293–294.

    Article  Google Scholar 

  17. Wang, R., Liu, J., Zhang, G., Huang, S., & Yuan, M. (2017). Energy efficient power allocation for relay-aided d2d communications in 5g networks. China Communications, 14(6), 54–64.

    Article  Google Scholar 

  18. Wu, Q., Li, G., Chen, W., & Ng, D. W. K. (2017). Energy-efficient d2d overlaying communications with spectrum-power trading. IEEE Transactions on Wireless Communications, 16(7), 4404–4419.

    Article  Google Scholar 

  19. Lin, Z., Huang, L., Zhao, Y., Du, X., & Guizani, M. (2017). P2p-based resource allocation with coalitional game for d2d networks. Pervasive and Mobile Computing, 42, 487–497.

    Article  Google Scholar 

  20. Coll-Perales, B., Gozálvez, J., & Sepulcre, M. (2015). Empirical models of the communications performance of multi-hop cellular networks using d2d. Journal of Network and Computer Applications, 58, 60–72.

    Article  Google Scholar 

  21. Lin, Z., Huang, L., Li, Y., Chao, H.-C., & Chen, P. (2017). Analysis of transmission capacity for multi-mode d2d communication in mobile networks. Pervasive and Mobile Computing, 41, 179–191.

    Article  Google Scholar 

  22. Gandotra, P., & Jha, R. K. (2016). Device-to-device communication in cellular networks: A survey. Journal of Network and Computer Applications, 71, 99–117.

    Article  Google Scholar 

  23. Zhang, C., Wang, D., Ye, J., Lei, H., Zhang, J., Pan, G., et al. (2017). Secrecy outage analysis on underlay cognitive radio system with full-duplex secondary user. IEEE Access, 5, 25696–25705.

    Article  Google Scholar 

  24. Zhao, H., Tan, Y., Pan, G., Chen, Y., & Yang, N. (2016). Secrecy outage on transmit antenna selection/maximal ratio combining in mimo cognitive radio networks. IEEE Transactions on Vehicular Technology, 65(12), 10236–10242.

    Article  Google Scholar 

  25. Shi, F., Fan, L., Liu, X., Na, Z., & Liu, Y. (2018). Probabilistic caching placement in the presence of multiple eavesdroppers. Wireless Communications and Mobile Computing, 2018, 2104162. https://www.hindawi.com/journals/wcmc/2018/2104162/cta/.

  26. Lai, X., Xia, J., Tang, M., Zhang, H., & Zhao, J. (2018). Cache-aided multiuser cognitive relay networks with outdated channel state information. IEEE Access, 6, 21879–21887.

    Article  Google Scholar 

  27. Xia, J., Zhou, F., Lai, X., Zhang, H., Chen, H., Yang, Q., et al. (2018). Cache aided decode-and-forward relaying networks: From the spatial view. Wireless Communications and Mobile Computing, 2018, 5963584. https://www.hindawi.com/journals/wcmc/2018/5963584/cta/.

  28. Kwon, Y., Suh, H., Oh, J., & Hwang, T. (2017). Energy efficient communication for secure d2d underlaid cellular networks. IEEE Transactions on Vehicular Technology, 66(10), 9110–9123.

    Article  Google Scholar 

  29. Konecnỳ, J., & Richtárik, P. (2014). Simple complexity analysis of simplified direct search. arXiv preprint arXiv:1410.0390v2.

  30. Abramson, M. A., Audet, C., Chrissis, J. W., & Walston, J. G. (2009). Mesh adaptive direct search algorithms for mixed variable optimization. Optimization Letters, 3(1), 35–47.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Engineering, COMSATS University Islamabad, Wah campus, Pakistan

    Mushtaq Ahmad, Farooq Alam Orakzai, Ashfaq Ahmed, Muhammad Naeem & Muhammad Iqbal

  2. Department of Computer Science, COMSATS University Islamabad, Wah campus, Pakistan

    Tariq Umer

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  1. Mushtaq Ahmad
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  2. Farooq Alam Orakzai
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  3. Ashfaq Ahmed
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  4. Muhammad Naeem
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  5. Muhammad Iqbal
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  6. Tariq Umer
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Correspondence to Muhammad Naeem.

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Ahmad, M., Orakzai, F.A., Ahmed, A. et al. Energy efficiency in cognitive radio assisted D2D communication networks. Telecommun Syst 71, 167–180 (2019). https://doi.org/10.1007/s11235-018-0486-5

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  • DOI: https://doi.org/10.1007/s11235-018-0486-5

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