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Telecommunication Systems

, Volume 67, Issue 3, pp 401–414 | Cite as

Cooperative energy efficient D2D clustering in LTE-A with enhanced QoS

  • Elias Yaacoub
Article
  • 157 Downloads

Abstract

Device-to-device (D2D) communications in the long term evolution (LTE) Advanced (LTE-A) cellular system are investigated. The objective is to form collaborative D2D groups for transmitting/receiving data in the uplink (UL) and downlink (DL) in an energy efficient manner. The energy minimization problem using multihop D2D is formulated as a binary integer linear program. A low complexity suboptimal solution method is proposed, and shown to lead to good performance, especially in the low complexity 1-hop D2D scenario. The investigated framework is applicable to both public safety (PS) and non-PS scenarios. In addition to significant energy savings, the proposed method is shown to lead to reduced delays and enhanced quality of service (QoS), especially when real-time video transmission is considered.

Keywords

Device-to-device communications LTE-A Energy efficiency Video streaming QoS 

Notes

Acknowledgements

The author would like to thank the anonymous reviewers for their comments that helped in increasing the quality and clarity of this paper.

References

  1. 1.
    Yaacoub, E. (April 2014). “On the Use of Device-to-Device Communications for QoS and Data Rate Enhancement in LTE Public Safety Networks,” IEEE WCNC 2014 - Workshop on Device-to-Device and Public Safety Communications. Turkey: Istanbul.Google Scholar
  2. 2.
    Doppler, K., Yu, C.-H., Ribeiro, C. B., & Jänis, P. (2010). “Mode Selection for Device-to-Device Communication Underlaying an LTE-Advanced Network,” IEEE WCNC 2010. Sydney: Australia. April.Google Scholar
  3. 3.
    Ma, C., Yue, J., Yu, H., Luo, H., Zhou, W., & Sun, X. (August 2013). “An Interference Coordination Mechanism Based on Resource Allocation for Network Controlled Device-to-Device Communication,” IEEE/CIC ICCC 2013. China: Xi’an.Google Scholar
  4. 4.
    Wang, F., Song, L., Han, Z., Zhao, Q., & Wang, X. (April 2013). “Joint Scheduling and Resource Allocation for Device-to-Device Underlay Communication,” IEEE WCNC 2013. China: Shanghai.Google Scholar
  5. 5.
    Wang, H., & Chu, X. (2012). Distance-constrained resource-sharing criteria for device-to-device communications underlaying cellular networks. Electronics Letters, 48(9), 528–530.CrossRefGoogle Scholar
  6. 6.
    Doppler, K., Rinne, M., Wijting, C., Ribeiro, C. B., & Hugl, K. (2009). Device-to-device communication as an underlay to lte-advanced networks. IEEE Communications Magazine, 47(12), 42–49.CrossRefGoogle Scholar
  7. 7.
    Zulhasnine, M., Huang, C., & Srinivasan, A. (2010). Efficient Resource Allocation for Device-to-Device Communication Underlaying LTE Network. 6th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications. (WiMob 2010), Niagara Falls, Canada, pp. 368–375, October.Google Scholar
  8. 8.
    Lee, D. H., Choi, K. W., Jeon, W. S., & Jeong, D. G. (2013). “Resource allocation scheme for device-to-device communication for maximizing spatial reuse,” IEEE WCNC 2013. China: Shanghai.Google Scholar
  9. 9.
    Han, M.-H., Kim, B.-G., & Lee, J.-W. (2012). Subchannel and Transmission Mode Scheduling for D2D Communication in OFDMA Networks. IEEE VTC 2012-Fall, pp. 567–572, Quebec City, Canada, September.Google Scholar
  10. 10.
    Corson, M. S., Laroia, R., Li, J., Park, V., Richardson, T., & Tsirtsis, G. (2010). Toward proximity-aware internetworking. IEEE Wireless Communications, 17(6), 26–33.CrossRefGoogle Scholar
  11. 11.
    Wu, X., Tavildar, S., Shakkottai, S., Richardson, T., Li, J., Laroia, R., et al. (2013). Flashlinq: A synchronous distributed scheduler for peer-to-peer ad hoc networks. IEEE/ACM Transactions on Networking, 21(4), 1215–1228.CrossRefGoogle Scholar
  12. 12.
    Chen, Y., Xu, X., & Lei, Q. (2013). Joint subcarriers and power allocation with imperfect spectrum sensing for cognitive D2D wireless multicast. KSII Transactions on Internet and Information Systems, 7(7), 1533–1546.CrossRefGoogle Scholar
  13. 13.
    Wang, D., Wang, X., & Zhao, Y. (2012). An Interference Coordination Scheme for Device-to-Device Multicast in Cellular Networks. IEEE VTC 2012-Fall, pp. 567–572, Quebec City, Canada, September.Google Scholar
  14. 14.
    Koskela, T., Hakola, S., Chen, T., & Lehtomäki, J. (2010). Clustering concept using device-to-device communication in cellular system, IEEE WCNC 2010. Sydney: Australia.Google Scholar
  15. 15.
    Motorola, Real-World LTE Performance for Public Safety, September 2011.Google Scholar
  16. 16.
    Motorola, Barricaded suspect incident analysis: enhancing critical incident response with public safety LTE, 2011.Google Scholar
  17. 17.
    Chen, Y.-K. (2012). Challenges and opportunities of internet of things. in Proceedings of the Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 383–388, January-February.Google Scholar
  18. 18.
    Yaacoub, E., Al-Kanj, L., Dawy, Z., Sharafeddine, S., Filali, F., & Abu-Dayya, A. (2012). A utility minimization approach for energy-aware cooperative content distribution with fairness constraints. Transactions on Emerging Telecommunications Technologies (ETT), 23(4), 378–392.CrossRefGoogle Scholar
  19. 19.
    Cao, H., Jiang, W., Javornik, T., Wiemeler, M., Nguyen, T. T., & Kaiser, T. (2013). Spectrum Awareness Scheme of the Rapidly Deployable eNodeB for Unexpected and Temporary Events. IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD), Berlin, Germany, September.Google Scholar
  20. 20.
    Yaacoub, E., & Kubbar, O. (2012). On the performance of distributed base stations in LTE public safety networks, IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2012). Cyprus: Limassol.Google Scholar
  21. 21.
    Arunthavanathan, S., Kandeepan, S., & Evans, R. (2013). Spectrum sensing and detection of incumbent-UEs in secondary-LTE based Aerial-Terrestrial networks for disaster recovery. IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD), Berlin, Germany, September.Google Scholar
  22. 22.
    3rd Generation Partnership Project (3GPP), 3GPP TS 36.211 3GPP TSG RAN Evolved Universal Terrestrial Radio Access (E-UTRA) physical channels and modulation, version 13.1.0, Release 13, March 2016.Google Scholar
  23. 23.
    Qiu, X., & Chawla, K. (1999). On the performance of adaptive modulation in cellular systems. IEEE Transactions on Communications, 47(6), 884–895.CrossRefGoogle Scholar
  24. 24.
    3GPP, 3GPP TS 23.246 Technical specification group services and system aspects; Multimedia broadcast/multicast service (MBMS); Architecture and functional description, Release 13, version 13.3.0, December 2015.Google Scholar
  25. 25.
    3GPP, 3GPP TS 26.346 Technical specification group services and system aspects; multimedia broadcast/multicast service (MBMS); Protocols and codecs, Release 13, version 13.4.0, March 2016.Google Scholar
  26. 26.
    Choi, L. U., Ivrlac, M. T., Steinbach, E., & Nossek, J. A. (2005). Analysis of distortion due to packet loss in streaming video transmission over wireless communication links. International Conference on Image Processing (IEEE ICIP 2005), pp. 189–192,Google Scholar
  27. 27.
    3rd Generation Partnership Project (3GPP), 3GPP TR 25.814 3GPP TSG RAN Physical Layer Aspects For Evolved UTRA, v7.1.0, 2006.Google Scholar
  28. 28.
    Mahmud, K., Inoue, M., Murakami, H., Hasegawa, M., & Morikawa, H. (2005). Energy consumption measurement of wireless interfaces in multi-service user terminals for heterogeneous wireless networks. IEICE Transactions on Communications, E88-B(3), pp. 1097–1110, March.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Faculty of Computer StudiesArab Open UniversityBeirutLebanon

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