Latency and Energy Efficient Bio-Inspired Conic Optimized and Distributed Q Learning for D2D Communication in 5G

References

• D. T. Huynh, X. Wang, T. Q. Duong, N. S. Vo, and M. Chen, “Social-aware energy efficiency optimization for device-to-device communications in 5G networks,” Comput.Commun., Vol. 120, pp. 102–11, Feb. 2018.
   Web of Science ®Google Scholar
• Y. Zhang, Y. Yang, and L. Dai, “Energy efficiency maximization for device-to-device communication underlaying cellular networks on multiple bands,” IEEE. Access., Vol. 4, pp. 7682–91, Nov. 2016.
   Web of Science ®Google Scholar
• S. Liu, Y. Wu, L. Li, X. Liu, and W. Xu, “A two-stage energy-efficient approach for joint power control and channel allocation in D2D communication,” IEEE. Access., Vol. 7, pp. 16940–51, Jan. 2019.
   Google Scholar
• S. Alemaishat, O. A. Saraereh, I. Khan, and B. J. Choi, “An efficient resource allocation algorithm for D2D communications based on NOMA,” IEEE. Access., Vol. 7, pp. 120238–47, Aug. 2019.
   Google Scholar
• R. Zhang, C. Qi, Y. Li, Y. Ruan, C. X. Wang, and H. Zhang, “Towards energy-efficient underlaid device-to-device communications: A joint resource management approach,” IEEE. Access., Vol. 7, pp. 31385–96, Feb. 2019.
   Web of Science ®Google Scholar
• G. Mesbahi, and A. Ghaffarpour Rahbar, “Cluster-based architecture capable for device-to-device millimeter-wave communications in 5G cellular networks,” Arab. J. Sci. Eng., Vol. 44, no. 11, pp. 9719–33, Apr. 2019.
   Web of Science ®Google Scholar
• M. Imran, L. U. Khan, I. Yaqoob, E. Ahmed, M. A. Qureshi, and A. Ahmed, “Energy harvesting in 5G networks: taxonomy, requirements, challenges, and future directions,” IEEE Wirel. Commun., Vol. 10, pp. 1–9, Mar. 2020.
   Google Scholar
• J. Iqbal, M. A. Iqbal, A. Ahmad, M. Khan, A. Qamar, and K. Han, “Comparison of spectral efficiency techniques in device-to-device communication for 5G,” IEEE. Access., Vol. 7, pp. 57440–9, May 2019.
   Web of Science ®Google Scholar
• C. Kai, H. Li, L. Xu, Y. Li, and T. Jiang, “Energy-efficient device-to-device communications for green smart cities,” IEEE T. Ind. Inform, Vol. 14, no. 4, pp. 1542–51, Apr. 2018.
   Web of Science ®Google Scholar
• J. Gui, and K. Zhou, “Cellular throughput optimization by game-based power adjustment and outband D2D communication,” EURASIPJ.Wirel. Comm., Vol. 10, no. 1, pp. 1–25, October 2018.
   Web of Science ®Google Scholar
• S. Goli–Bidgoli, and N. Movahhedinia, “Towards ensuring reliability of vehicular ad hoc networks using a relay selection techniques and D2D communications in 5G networks,” Kluw. Commun., Vol. 114, pp. 2755–67, Jun. 2020.
   Google Scholar
• Y. H. Xu, C. C. Yang, M. Hua, and W. Zhou, “Deep deterministic policy gradient (DDPG)-based resource allocation scheme for NOMA vehicular communications,” IEEE. Access., Vol. 8, pp. 18797–807, Jan. 2020.
   Web of Science ®Google Scholar
• L. Fan, Z. Dong, and P. Yuan, “The capacity of device-to-device communication underlaying cellular networks with relay links,” IEEE. Access., Vol. 5, pp. 16840–6, Sep. 2017.
   Web of Science ®Google Scholar
• R. Wang, X. Dong, Q. Li, and Z. Ren, “Distributed adaptive formation control for linear Swarm systems with time-varying formation and switching topologies,” IEEE. Access., Vol. 4, pp. 8995–9004, Dec. 2016.
   Web of Science ®Google Scholar
• F. Xia, X. Zhao, J. Zhang, J. Ma, and X. Kong, “Beecup: A bio-inspired energy-efficient clustering protocol for mobile learning,” Future Gener. Comp.Sy., Vol. 37, pp. 449–60, Oct. 2014.
   Web of Science ®Google Scholar
• Y. J. Zheng, S. Y. Chen, Y. Lin, and W. L. Wang, “Bio-inspired optimization of sustainable energy systems: A review,” Math.Probl. Eng., Vol. 2013, pp. 1–13, Jan. 2013.
   Web of Science ®Google Scholar
• L. Jiang, S. Xie, S. Maharjan, and Y. Zhang, “Joint transaction relaying and block verification optimization for blockchain empowered D2D communication,” IEEE T.Veh. Technol., Vol. 69, no. 1, pp. 828–41, Jan. 2020.
   Web of Science ®Google Scholar
• H. Zhang, Y. Liao, and L. Song, “D2D-U: device-to-device communications in unlicensed bands for 5G system,” IEEE T.Wirel.Commun., Vol. 16, no. 6, pp. 3507–19, Jun. 2017.
   Web of Science ®Google Scholar
• A. Celik, J. Tetzner, K. Sinha, and J. Matta, “5G device-to-device communication security and multipath routing solutions,” Applied Network Science, Vol. 4, no. 1, pp. 1–24, Jul. 2019.
   Google Scholar
• O. Hayat, R. Ngah, and Y. Zahedi, “Device discovery for D2D communication in in-band cellular networks using sphere decoder like (SDL) algorithm,” EURASIP J. Wirel. Comm., Vol. 74, no. 1. pp. 1–7, Jul. 2018.
   Web of Science ®Google Scholar
• A. Roy, N. Saxena, B. J. R. Sahu, and S. Singh, “BiSON: A bioinspired self-organizing network for dynamic auto-configuration in 5G wireless,” Hindawi, Wirel. Commun and Mobile Comput, Vol. 2018, pp. 1–13, 2018, Article ID 2632754.
   Google Scholar
• Z. Na, Z. Pan, X. Liu, Z. Deng, Z. Gao, and Q. Guo, “Distributed routing strategy based on machine learning for LEO satellite network,” Hindawi, Wirel. Commun and Mobile Comput, Vol. 2018, pp. 1–10, 2018, Article ID 3026405.
   Google Scholar
• H. Park, and Y. Lim, “Reinforcement learning for energy optimization with 5G communications in vehicular social networks,” MPDI, Sensors, Vol. 20, no. 8, pp. 1–16, 2020.
   Google Scholar
• C. Vlachos, H. Elshaer, J. Chen, V. Friderikos, and M. Dohler, “Bio-inspired resource allocation for relay-aided device-to-device communications,” IEEE Vehicular Technology Conference, Vol. 84, pp. 1–6, Sep. 2016.
   Google Scholar
• T. Li, X. Zhu, and X. Liu, “An End-to-End network slicing algorithm based on deep Q-learning for 5G network,” IEEE. Access., Vol. 8, pp. 1–12, Jul. 2020.
   Google Scholar
• G. Lia, B. Fenga, H. Zhoua, Y. Zhanga, K. Soodb, and S. Yuc, “Adaptive service function chaining mappings in 5G using deep Q-learning,” Computer Communications, Elsevier, Vol. 152, pp. 305–15, Feb. 2020.
   Web of Science ®Google Scholar
• D. Zhao, H. Qin, and B. Song, “A reinforcement learning method for joint mode selection and power adaptation in the V2V communication network in 5G,” IEEE Transactions on Cognitive Communications and Networking, Vol. 6, no. 2, pp. 452–63, Jun. 2020.
   Web of Science ®Google Scholar
• M. I. Khan, L. Reggiani, M. M. Alam, Y. L. Moullec, N. Sharma, E. Yaacoub, and M. Magarini, “Q-learning based joint energy-spectral efficiency optimization in multi-hop device-to-device communication,” Sensors, Vol. 20, pp. 1–23, Nov.2020.
   Web of Science ®Google Scholar