[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Log in

Joint mode selection and user association in D2D enabled multitier C-RAN

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

The device-to-device D-2-D Communication empowered Cloud Radio Access Network (CRAN) which is examined to be auspicious system model, gives energy efficiency and high data rate. In this research study, we formulate a mode selection (MS), and user-association (UA) problem in device-to-device empower Single Carrier Frequency Division Multiple Access (SCFDMA) based CRAN in the forthcoming link. Combined-integer non-linear problem is not possible to solve in its current state. To address the problem, an iterative algorithm is proposed which solves this problem in two stages; Mode Selection Stage and User-Association Stage. D2D communication can be made possible using single carrier frequency division multiple access-based C-RAN. Cloud radio access network is a revolution for cellular networks. For next round selection, link-based algorithm is presented while for user-association, an iterative algorithm is presented. Different cell radius for base algorithms, optimal technique and proposed solution are compared in simulation. The efficiency of the proposed algorithm is verified by simulation results and have efficient outcome among other algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig.4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Data availability

The data used to support the findings of the study are included within the article.

References

  1. Peng, M., Li, Y., Zhao, Z., Wang, C.: System architecture and key technologies for 5G heterogeneous cloud radio access networks. IEEE Netw. 29(2), 6–14 (2015)

    Article  Google Scholar 

  2. Peng, M., Sun, Y., Li, X., Mao, Z., Wang, C.: Recent advances in cloud radio access networks: system architectures, key techniques, and open issues. IEEE Commun. Surv. Tutor. 18(3), 2282–2308 (2016)

    Article  Google Scholar 

  3. Ali, S., Ahmad, A.: Resource allocation, interference management, and mode selection in device-to-device communication: a survey. Trans. Emerg. Telecommun. Technol. 28(7),(2017)

    Article  Google Scholar 

  4. Rico-Alvarino, A., Vajapeyam, M., Xu, H., Wang, X., Blankenship, Y., Bergman, J., et al.: An overview of 3GPP enhancements on machine to machine communications. IEEE Commun. Mag. 54(6), 14–21 (2016)

    Article  Google Scholar 

  5. Varahram, P., Ali, B.M.: Peak-to-average power ratio reduction and digital predistortion effects in power amplifiers in OFDM system. Int. J. Commun Syst 25(4), 543–552 (2011)

    Article  Google Scholar 

  6. Ahmad, A., Shah, N.: A joint resource optimization and adaptive modulation framework for uplink single-carrier frequency-division multiple access systems. Int. J. Commun Syst 28(3), 437–456 (2013)

    Article  Google Scholar 

  7. Ghavimi, F., Chen, H.: M2M communications in 3GPP LTE/LTE-A networks: architectures, service requirements, challenges, and applications. IEEE Commun. Surv. Tutor. 17(2), 525–549 (2015)

    Article  Google Scholar 

  8. Faheem, M., Fizza, G., Ashraf, M.W., Butt, R.A., Ngadi, Md.A., Gungor, V.C.: Big Data acquired by Internet of Things-enabled industrial multichannel wireless sensors networks for active monitoring and control in the smart grid Industry 40. Data Brief 35, 106854 (2021)

    Article  Google Scholar 

  9. Faheem, M., Shah, S.B.H., Butt, R.A., Raza, B., Anwar, M., Ashraf, M.W., Ngadi, Md.A., Gungor, V.C.: Smart grid communication and information technologies in the perspective of industry 4.0: opportunities and challenges. Comput. Sci. Rev. 30, 1–30 (2018)

    Article  Google Scholar 

  10. Khan, I.U., Qureshi, I.M., Aziz, M.A., Cheema, T.A., Shah, S.B.H.: Smart IoT control-based nature inspired energy efficient routing protocol for flying ad hoc network (FANET). IEEE Access 8, 56371–56378 (2020). https://doi.org/10.1109/ACCESS.2020.2981531

    Article  Google Scholar 

  11. Faheem, M., Butt, R.A., Ali, R., Raza, B., Ngadi, Md.A., Gungor, V.C.: CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0. J. Ind. Inf. Integr. 2021, 100236 (2021)

    Google Scholar 

  12. Yu, C., Tirkkonen, O., Doppler, K., Ribeiro, C.: On the performance of device-to-device underlay communication with simple power control. IEEE Xplore 6, 1–5 (2009)

    Google Scholar 

  13. Zhao, W., Wang, S.: Resource sharing scheme for device-to-device communication underlaying cellular networks. IEEE Trans. Commun. 63(12), 4838–4848 (2015)

    Article  Google Scholar 

  14. Jiang, Y., Liu, Q., Gao, X., You, X.: Energy efficient joint resource allocation and power control for D2D communications. IEEE Trans. Vehicular Technol. 65(8), 6119–6127 (2016)

    Article  Google Scholar 

  15. Peng, M., Li, Y., Quek, T.Q.S., Wang, C.: Device-to-device underlaid cellular networks under Rician fading channels. IEEE Trans. Wirel. Commun. 13(8), 4247–4259 (2014)

    Article  Google Scholar 

  16. Zhou, H., Ji, Y., Li, J., Zhao, B.: Joint mode selection, MCS assignment, resource allocation and power control for D2D communication underlaying cellular networks. IEEE Xplore. 2014. pp. 1667–1672. Accessed 6 March 2021

  17. Yu, G., Xu, L., Feng, D., Yin, R., Li, G.Y., Jiang, Y.: Joint mode selection and resource allocation for device-to-device communications. IEEE Trans. Commun. 62(11), 3814–3824 (2014)

    Article  Google Scholar 

  18. Azam, M., Ahmad, M., Naeem, M., Iqbal, M., Khwaja, A.S., Anpalagan, A., et al.: Joint admission control, mode selection, and power allocation in D2D communication systems. IEEE Trans. Vehicular Technol. 65(9), 7322–7333 (2016)

    Article  Google Scholar 

  19. Mo, Y., Peng, M., Xiang, H., Sun, Y., Ji, X.: Resource allocation in cloud radio access networks with device-to-device communications. IEEE Access 5, 1250–1262 (2017)

    Article  Google Scholar 

  20. Abana, M.A., Peng, M., Zhao, Z., Olawoyin, L.A.: Coverage and rate analysis in heterogeneous cloud radio access networks with device-to-device communication. IEEE Access. 4, 2357–2370 (2016)

    Article  Google Scholar 

  21. Sun, Y., Peng, M., Wang, C.: A Distributed approach in uplink device-to-device enabled cloud radio access networks. IEEE Xplore. 2016. pp. 1–6. Accessed 6 March 2018

  22. Wang, Z., Sun, Y.: Mode selection and resource allocation in uplink device-to-device enabled cloud radio access networks. IEEE Xplore. 2017. pp. 1341–1345. https://ieeexplore.ieee.org/abstract/document/7962845. Accessed 6 March 2018

  23. Zhao, J., Li, S., Ma, D., Mu, X.: Research on joint mode selection and resource allocation scheme in D2D networks. IEEE Xplore. 2018. pp. 429–4293. https://ieeexplore.ieee.org/abstract/document/8644683

  24. Zeng, T., Semiari, O., Saad, W.: Exploring spatial motifs for device-to-device network analysis (DNA) in 5G networks. IEEE Xplore. 2017. pp. 1432–1436. Accessed 6 March 2018

  25. Wang, J., Wang, S.: A resource allocation algorithm based on DILA for D2D communication in LTE-A multi-cell network. IEEE Xplore. 2018. pp. 114–117. Accessed 6 March 2018

  26. Sun, Y., Wang, F., Liu, Z.: Coalition formation game for resource allocation in D2D uplink underlaying cellular networks. IEEE Commun. Lett. 23(5), 888–891 (2019)

    Article  Google Scholar 

  27. Lee, J., Lee, J.H.: Performance analysis and resource allocation for cooperative D2D communication in cellular networks with multiple D2D pairs. IEEE Commun. Lett. 23(5), 909–912 (2019)

    Article  Google Scholar 

  28. Naqvi, S.A.R., Pervaiz, H., Hassan, S.A., Musavian, L., Ni, Q., Imran, M.A., et al.: Energy-aware radio resource management in D2D-enabled multi-tier HetNets. IEEE Access. 6, 16610–16622 (2018)

    Article  Google Scholar 

  29. Zia, K., Javed, N., Sial, M.N., Ahmed, S., Pirzada, A.A., Pervez, F.: A distributed multi-agent RL-based autonomous spectrum allocation scheme in D2D enabled multi-tier HetNets. IEEE Access. 7, 6733–6745 (2019)

    Article  Google Scholar 

  30. Sun, Y., Peng, M., Poor, H.V.: A distributed approach to improving spectral efficiency in uplink device-to-device-enabled cloud radio access etworks. IEEE Trans. Commun. 66(12), 6511–6526 (2018)

    Article  Google Scholar 

  31. Shamaei, S., Bayat, S., Hemmatyar, A.M.A.: Interference management in D2D-enabled heterogeneous cellular networks using matching theory. IEEE Trans. Mob. Comput. 18(9), 2091–2102 (2019)

    Article  Google Scholar 

  32. Della Penda, D., Abrardo, A., Moretti, M., Johansson, M.: Distributed channel allocation for D2D-enabled 5G networks using potential games. IEEE Access. 7, 11195–11208 (2019)

    Article  Google Scholar 

  33. Aijaz, A., Tshangini, M., Nakhai, M.R., Chu, X., Aghvami, A.: Energy-efficient uplink resource allocation in LTE networks with M2M/H2H co-existence under statistical QoS guarantees. IEEE Trans. Commun. 62(7), 2353–2365 (2014)

    Article  Google Scholar 

  34. Orakzai, F.A., Ahmad, A., Khan, M.T.R., Iqbal, M.: Optimal energy-efficient resource allocation in uplink SC-FDMA networks. Trans. Emerg. Telecommun. Technol. 28(8), e3153 (2017)

    Article  Google Scholar 

  35. ElSawy, H., Hossain, E., Alouini, M.: Analytical modeling of mode selection and power control for underlay D2D communication in cellular networks. IEEE Trans. Commun. 62(11), 4147–4161 (2014)

    Article  Google Scholar 

  36. Yu-Chi, W., Debs, A.S., Marsten, R.E.: A direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flows. IEEE Trans. Power Syst. 9(2), 876–883 (2021)

    Article  Google Scholar 

  37. Ali, S., Ahmad, A., Iqbal, R., Saleem, S., Umer, T.: Joint RRH-association, sub-channel assignment and power allocation in multi-tier 5G C-rans. IEEE Access. 6, 34393–34402 (2018)

    Article  Google Scholar 

  38. Ali, S., Ahmad, A., Khan, A.: Energy-efficient resource allocation and RRH association in multitier 5G H-CRANs. Trans. Emerg. Telecommun. Technol. 30(1), 3521 (2018)

    Article  Google Scholar 

  39. Ali, S., Ahmad, A., Khan, A.: Energy-efficient resource allocation and RRH association in multitier 5G H-CRANs. Trans. Emerg. Telecommun. Technol. 30(1), e3521 (2019)

    Article  Google Scholar 

  40. Nisirat, M.A., Ismail, M., Nissirat, L., AlKhawaldeh, S.: Is Hata Path loss model a macro-cell model only? A question of debate. In: International Conference on Computer and Communication Engineering (ICCCE), pp. 274–277. IEEE (2012)

Download references

Funding

None of the same.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Syed Bilal Hussian Shah.

Ethics declarations

Conflict of interest

The authors declare that they have no conflicts of interest.

Informed consent

None of the same.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahmad, T., Ali, S., Shah, S.B.H. et al. Joint mode selection and user association in D2D enabled multitier C-RAN. Cluster Comput 25, 2403–2415 (2022). https://doi.org/10.1007/s10586-021-03456-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-021-03456-4

Keywords

Navigation