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Energy-spectral efficient resource allocation and power control in heterogeneous networks with D2D communication

  • Azadeh Khazali
  • Sima Sobhi-Givi
  • Hashem Kalbkhani
  • Mahrokh G. Shayesteh
Article
  • 33 Downloads

Abstract

Heterogeneous networks (HetNets) provide the demand for high data rates. In this study, we analyze the coexistence of femtocells and device-to-device (D2D) communication with macrocells. Interference management and decreasing energy consumption are two important issues in HetNets. To this end, we propose an efficient fractional frequency reuse (FFR)-based spectrum partitioning scheme to reduce the cross-tier interference. We also propose to use different optimization problems for resource allocation in different tiers. For this purpose, an energy efficient optimization problem is applied to D2D user equipment. Further, an optimization problem based on the spectral efficiency, i.e., throughput, is considered for macrocell and femtocell tiers. These problems are modeled as a non-cooperative game that results in low computational complexity. Iterative algorithms with fast convergence are used to solve the optimization problems. It is shown that applying different optimizations on different tiers leads to better performance than considering the same optimization for all tiers. The results indicate that the proposed FFR structure and optimization problems improve system performance. We also analyze the tradeoff between energy efficiency and spectral efficiency of the introduced structure.

Keywords

D2D communication Energy efficiency Femtocell Fractional frequency reuse Heterogeneous network Power control Resource allocation 

Abbreviations

BS

Base station

CDF

Cumulative distribution function

D2D

Device-to-device

D2D Rx

D2D receiver

D2D Tx

D2D transmitter

DUE

D2D user equipment

EE

Energy efficiency

FBS

Femtocell base station

FUE

Femtocell user equipment

FFR

Fractional frequency reuse

HetNet

Heterogeneous network

LSN

Log skew normal

MBS

Macro base station

MUE

Macrocell user equipment

PDF

Probability distribution function

QoS

Quality of service

RB

Resource block

RSS

Received signal strength

SN

Skew normal

SPPP

Spatial poisson point process

SE

Spectral efficiency

UE

User equipment

References

  1. 1.
    Zahir, T., et al. (2013). Interference management in femtocells. IEEE Communications Surveys & Tutorials, 15(1), 293–311.CrossRefGoogle Scholar
  2. 2.
    Chandrasekhar, V., Andrews, J. G., & Gatherer, A. (2008). Femtocell networks: A survey. IEEE Communications Magazine, 46(9), 59–67.CrossRefGoogle Scholar
  3. 3.
    Li, Y., et al. (2013). Energy-efficient femtocell networks: Challenges and opportunities. IEEE Wireless Communications, 20(6), 99–105.CrossRefGoogle Scholar
  4. 4.
    Asadi, A., Wang, Q., & Mancuso, V. (2014). A survey on device-to-device communication in cellular networks. IEEE Communications Surveys & Tutorials, 16, 1801–1819.CrossRefGoogle Scholar
  5. 5.
    Shahid, A., Kim, K. S., De Poorter, E., & Moerman, I. (2017). Self-organized energy-efficient cross-layer optimization for device to device communication in heterogeneous cellular networks. IEEE Access, 5, 1117–1128.CrossRefGoogle Scholar
  6. 6.
    Sobhi-Givi, S., Khazali, A., Kalbkhani, H., Shayesteh, M. G., & Solouk, V. (2017). Resource allocation and power control for underlay device-to-device communication in fractional frequency reuse cellular networks. Telecommunication Systems, 65, 677–697.CrossRefGoogle Scholar
  7. 7.
    Davaslioglu, K., & Ayanoglu, E. (2014). Quantifying potential energy efficiency gain in green cellular wireless networks. IEEE Communications Surveys & Tutorials, 16(4), 2065–2091.CrossRefGoogle Scholar
  8. 8.
    Afroz, F., Sandrasegaran, K., & Al Kim, H. (2015). Interference management in LTE downlink networks. International Journal of Wireless & Mobile, Networks, 7(1), 91.CrossRefGoogle Scholar
  9. 9.
    Hsu, C.-C., & Chang, J. M. (2017). Spectrum-energy efficiency optimization for downlink LTE-A for heterogeneous networks. IEEE Transactions on Mobile Computing, 16(5), 1449–1461.CrossRefGoogle Scholar
  10. 10.
    Kim, T.-S., Lee, K.-H., Ryu, S., & Cho, C.-H. (2013). Resource allocation and power control scheme for interference avoidance in an LTE-Advanced cellular networks with device-to-device communication. International Journal of Control and Automation, 6, 181–190.CrossRefGoogle Scholar
  11. 11.
    Jeon, W. S., Kim, J., & Jeong, D. G. (2014). Downlink radio resource partitioning with fractional frequency reuse in femtocell networks. IEEE Transactions on Vehicular Technology, 63, 308–321.CrossRefGoogle Scholar
  12. 12.
    Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C., et al. (2014). What will 5G be? IEEE Journal on Selected Areas in Communications, 32, 1065–1082.CrossRefGoogle Scholar
  13. 13.
    Wang, J., Zhu, D., Zhang, H., Zhao, C., Li, J. C., & Lei, M. (2014). Resource optimization for cellular network assisted multichannel D2D communication. Signal Processing, 100, 23–31.CrossRefGoogle Scholar
  14. 14.
    Li, Y., Zhang, L., Tan, X., & Cao, B. (2016). An advanced spectrum allocation algorithm for the across-cell D2D communication in LTE network with higher throughput. China Communications, 13(4), 30–37.CrossRefGoogle Scholar
  15. 15.
    Huang, Y., Nasir, A., Durrani, S., & Zhou, X. (2016). Mode selection, resource allocation, and power control for D2D-enabled two-tier cellular network. IEEE Transactions on Communications, 64, 3534–3547.CrossRefGoogle Scholar
  16. 16.
    Huo, Liuwei, Jiang, Dingde, & Lv, Zhihan. (2018). Soft frequency reuse-based optimization algorithm for energy efficiency of multi-cell networks. Computers & Electrical Engineering, 66, 316–331.CrossRefGoogle Scholar
  17. 17.
    Jiang, D., et al. (2016). An energy-efficient multicast algorithm with maximum network throughput in multi-hop wireless networks. Journal of communications and networks, 18(5), 713–724.CrossRefGoogle Scholar
  18. 18.
    Jiang, D., et al. (2015). Network coding-based energy-efficient multicast routing algorithm for multi-hop wireless networks.”. Journal of Systems and Software, 104, 152–165.CrossRefGoogle Scholar
  19. 19.
    Jiang, D., et al. (2016). Energy-efficient multi-constraint routing algorithm with load balancing for smart city applications. IEEE Internet of Things Journal, 3(6), 1437–1447.CrossRefGoogle Scholar
  20. 20.
    Jiang, D., Li, W., & Lv, H. (2017). An energy-efficient cooperative multicast routing in multi-hop wireless networks for smart medical applications. Neurocomputing, 220, 160–169.CrossRefGoogle Scholar
  21. 21.
    Li, Y., et al. (2015). Energy efficiency maximization by jointly optimizing the positions and serving range of relay stations in cellular networks. IEEE Transactions on Vehicular Technology, 64(6), 2551–2560.CrossRefGoogle Scholar
  22. 22.
    Li, Y., et al. (2015). Energy-efficient optimal relay selection in cooperative cellular networks based on double auction. IEEE Transactions on Wireless Communications, 14(8), 4093–4104.CrossRefGoogle Scholar
  23. 23.
    Hoang, T. D., Le, L. B., & Le-Ngoc, T. (2015). Dual decomposition method for energy-efficient resource allocation in D2D communications underlying cellular networks. In 2015 IEEE global communications conference (GLOBECOM), 2015 (pp. 1–6).Google Scholar
  24. 24.
    Jiang, D., et al. (2018). A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking. IEEE Transactions on Intelligent Transportation Systems.  https://doi.org/10.1109/TITS.2017.2778939.Google Scholar
  25. 25.
    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, 485–488.CrossRefGoogle Scholar
  26. 26.
    Davaslioglu, K., Coskun, C. C., & Ayanoglu, E. (2015). Energy-efficient resource allocation for fractional frequency reuse in heterogeneous networks. IEEE Transactions on Wireless Communications, 14, 5484–5497.CrossRefGoogle Scholar
  27. 27.
    Kalbkhani, H., Solouk, V., & Shayesteh, M. G. (2015). Resource allocation in integrated femto-macrocell networks based on location awareness. Communications, IET, 9, 917–932.CrossRefGoogle Scholar
  28. 28.
    Alouini, M.-S., & Goldsmith, A. J. (1999). Area spectral efficiency of cellular mobile radio systems. Vehicular Technology, IEEE Transactions on, 48, 1047–1066.CrossRefGoogle Scholar
  29. 29.
    Chandrasekhar, V., & Andrews, J. G. (2009). Uplink capacity and interference avoidance for two-tier femtocell networks. Wireless Communications, IEEE Transactions on, 8, 3498–3509.CrossRefGoogle Scholar
  30. 30.
    Ben Hcine, M., & Bouallegue, R. (2015). Fitting the Log Skew normal to the sum of independent lognormals distribution. arXiv preprint arXiv:1501.02344.
  31. 31.
    Dinkelbach, W. (1967). On nonlinear fractional programming. Management Science, 13, 492–498.MathSciNetCrossRefzbMATHGoogle Scholar
  32. 32.
    Zhou, Z., Dong, M., Ota, K., Wu J., & Sato T. (2014). Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. In Global communications conference (GLOBECOM), 2014 IEEE (pp. 4454–4459).Google Scholar
  33. 33.
    Tsiaflakis, P., Necoara, I., Suykens, J. A., & Moonen, M. (2010). Improved dual decomposition based optimization for DSL dynamic spectrum management. IEEE Transactions on Signal Processing, 58, 2230–2245.MathSciNetCrossRefzbMATHGoogle Scholar
  34. 34.
    Boyd, S., Xiao, L., & Mutapcic, A. (2003). Subgradient methods. Lecture notes of EE392o, Stanford University, autumn quarter (Vol. 2004, pp. 2004–2005).Google Scholar
  35. 35.
    Siswanto,D., Zhang, L., Navaie, K., & Deepak, G. (2016). Weighted sum throughput maximization in heterogeneous OFDMA networks. In 2016 IEEE 83rd vehicular technology conference (VTC Spring) (pp. 1–5).Google Scholar
  36. 36.
    Yongsheng, C., Yuantao, G., & Xiaokang, L. (2014). Power and channel allocation for device-to-device enabled cellular networks. Computational Information Systems, 10, 463–472.Google Scholar
  37. 37.
    Fodor, G., Della Penda, D., Belleschi, M., Johansson, M., & Abrardo, A. (2013). A comparative study of power control approaches for device-to-device communications. In IEEE international conference on communications (ICC), 2013 (pp. 6008–6013).Google Scholar
  38. 38.
    Lopez-Perez, D., Guvenc, I., De la Roche, G., Kountouris, M., Quek, T. Q., & Zhang, J. (2011). Enhanced intercell interference coordination challenges in heterogeneous networks. IEEE Wireless Communications, 18(3), 22–30.CrossRefGoogle Scholar
  39. 39.
    Lotfollahzadeh, T., Kabiri, S., Kalbkhani, H., & Shayesteh, M. G. (2016). Femtocell base station clustering and logistic smooth transition autoregressive-based predicted signal-to-interference-plus-noise ratio for performance improvement of two-tier macro/femtocell networks. IET Signal Processing, 10(1), 1–11.CrossRefGoogle Scholar
  40. 40.
    Chen, D., Jiang, T., & Zhang, Z. (2015). Frequency partitioning methods to mitigate cross-tier interference in two-tier femtocell networks. IEEE Transactions on Vehicular Technology, 64(5), 1793–1805.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringUrmia UniversityUrmiaIran
  2. 2.Wireless Research Laboratory, Advanced Communications Research Institute (ACRI), Electrical Engineering DepartmentSharif University of TechnologyTehranIran
  3. 3.Faculty of Electrical EngineeringUrmia University of TechnologyUrmiaIran

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