Energy Efficiency Optimization in Cooperative Spectrum Sensing by NOMA

  • Authors

    • Meenakshi Awasthi
    • J.Madhav Nigam
    • Vijay Kumar
    2018-07-20
    https://doi.org/10.14419/ijet.v7i3.12.17773
  • Cognitive radio, Non-orthogonal multiple access (NOMA), Cooperative NOMA, Energy efficiency.
  • Energy efficiency improvement is a major point of concern in cooperative scenario of cognitive radio networks, so as to compensate the overhead occurred due to power consumed by multiple numbers of secondary users. Non-orthogonal multiple access (NOMA) is a potential technique to get the higher spectrum efficiency for 5G systems. The basic feature of NOMA is to utilize the same channel, time and code but at different power levels, which results in higher spectrum efficiency (SE). In this article, firstly the cognitive radio (CR) inspired NOMA is generalized by multiple primary users. Then, energy efficiency (EE) is optimized for the proposed system. An efficient algorithm is proposed for the non-convex fractional programming problem. Simulation results show the superior performance over conventional multiple accesstechniques.

     

     

  • References

    1. [1] Y. Saito, Y. Kishiyama, A. Benjebbour, T. Nakamura, A. Li, and K. Higuchi, “Non-orthogonal multiple access (NOMA) for cellular future radio access,†IEEE Veh. Technol. Conf., pp. 0–4, 2013.

      [2] J. Choi, “Non-orthogonal multiple access in downlink coordinated two-point systems,†IEEE Commun. Lett., vol. 18, no. 2, pp. 313–316, 2014.

      [3] Z. Ding, Z. Yang, P. Fan, and H. V. Poor, “On the performance of non-orthogonal multiple access in 5G systems with randomly deployed users,†IEEE Signal Process. Lett., vol. 21, no. 12, pp. 1501–1505, 2014.

      [4] Z. Ding, P. Fan, and H. V. Poor, “Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions,†IEEE Trans. Veh. Technol., vol. 65, no. 8, pp. 6010–6023, 2016.

      [5] L. Lv, Q. Ni, Z. Ding, and J. Chen, “Application of Non-Orthogonal Multiple Access in Cooperative Spectrum-Sharing Networks Over Nakagami- $m$ Fading Channels,†IEEE Trans. Veh. Technol., vol. 66, no. 6, pp. 5506–5511, 2017.

      [6] Z. Ding, Y. Liu, J. Choi, Q. Sun, M. Elkashlan, and H. V. Poor, “Application of Non-orthogonal Multiple Access in LTE and 5G Networks Application of Non-orthogonal Multiple Access in LTE and 5G Networks,†IEEE Commun. Mag., vol. 55, no. 2, pp. 185–191, 2017.

      [7] N. Nandan, S. Majhi, and H. Wu, “Secure Beamforming for MIMO-NOMA Based Cognitive Radio Network,†vol. 7798, pp. 1–4, 2018.

      [8] E. Q. Frp et al., “NOMA:From concept to standardization,†2015 IEEE Conf. Stand. Commun. Netw., vol. 8, pp. 18–23, 2015.

      [9] J. Mitola, “Cognitive radio for flexible mobile multimedia communications,†Mob. Multimed. Commun. 1999. (MoMuC ’99) 1999 IEEE Int. Work., vol. 22102, pp. 3–10, 1999.

      [10] S. Haykin, “Cognitive radio: Brain-empowered wireless communications,†IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201–220, 2005.

      [11] Y. Liu and S. Member, “Nonorthogonal multiple access in large-scale underlay cognitive radio netwroks,†IEEE Trans. Veh. Technol., vol. 65, no. 12, pp. 10152–10157, 2016.

      [12] Y. Zhang, H. M. Wang, T. X. Zheng, and Q. Yang, “Energy-Efficient Transmission Design in Non-orthogonal Multiple Access,†IEEE Trans. Veh. Technol., vol. 66, no. 3, pp. 2852–2857, 2017.

      [13] L. Lv, J. Chen, Q. Ni, and Z. Ding, “Design of cooperative non-orthogonal multicast cognitive multiple access for 5G systems: User scheduling and performance analysis,†IEEE Trans. Commun., vol. 65, no. 6, pp. 2641–2656, 2017.

      [14] Q. Sun, S. Han, C. L. I, and Z. Pan, “Energy efficiency optimization for fading MIMO non-orthogonal multiple access systems,†IEEE Int. Conf. Commun., vol. 2015–Septe, no. 2014, pp. 2668–2673, 2015.

      [15] Y. Zhang, Q. Yang, T. Zheng, H. Wang, Y. Ju, and Y. Meng, “Energy Efficiency Optimization in Cognitive Radio Inspired Non-Orthogonal Multiple Access,†IEEE Int. Symp. Pers. Indoor Mob. Radio Commun. PIMRC, vol. 27, 2016.

      [16] L. Dai, B. Wang, Y. Yuan, S. Han, C. L. I, and Z. Wang, “Non-orthogonal multiple access for 5G: Solutions, challenges, opportunities, and future research trends,†IEEE Commun. Mag., vol. 53, no. 9, pp. 74–81, 2015.

      [17] M. F. Hanif, Z. Ding, T. Ratnarajah, S. Member, and G. K. Karagiannidis, “A Minorization-Maximization Method for Optimizing Sum Rate in the Downlink of Non-Orthogonal Multiple Access Systems,†vol. 64, no. 1, pp. 76–88, 2016.

      [18] M. Science, “On Nonlinear Fractional Programming Author ( s ): Werner Dinkelbach Source : Management Science , Vol . 13 , No . 7 , Series A , Sciences ( Mar ., 1967 ), pp . 492-498 Published by : INFORMS Stable URL : http://www.jstor.org/stable/2627691,†vol. 13, no. 7, pp. 492–498, 2018.

      [19] Awasthi, Meenakshi, Nigam,M.J., Kumar Vijay, “Energy Efficient Sensing , Transmitting Time and Transmission Power for Cognitive Radio Networks,†in IEEE Indicon 2017., 2017.

  • Downloads

  • How to Cite

    Awasthi, M., Nigam, J., & Kumar, V. (2018). Energy Efficiency Optimization in Cooperative Spectrum Sensing by NOMA. International Journal of Engineering & Technology, 7(3.12), 1125-1127. https://doi.org/10.14419/ijet.v7i3.12.17773