Small Cell Deployment Based on Energy Efficiency in Heterogeneous Networks

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 571)


The deployment of the next generation mobile networks increasingly relies on the deployments of small cell. In this paper, we propose and evaluate an optimal energy efficiency (EE) small cell deployment scheme to solve the problem of small cell deployment in Massive MIMO system, considering the impact of base station (BS) location, number of antennas and BS density on the EE of the system in different scenarios. Single-cell model and multi-cell model are considered. In the single-cell model, the system allocates the location of the small cell by minimizing the system power consumption when the scheme satisfies the target transmission rate constraint of the user. In the multi-cell model, the optimal BS density is obtained by deriving the EE expressions of different optimization parameters. The simulation results show that the scheme can achieve high EE and validate the effectiveness of the proposed scheme.


Massive MIMO Heterogeneous network Small cell Energy efficiency 


  1. 1.
    Andrews JG, Buzzi S, Choi W et al (2014) What will 5G be. IEEE J Sel Areas Commun 32(6):1065–1082CrossRefGoogle Scholar
  2. 2.
    Bjornson E, Jorswieck EA, Debbah M et al (2014) Multi-objective signal processing optimization: the way to balance conflicting metrics in 5G systems. IEEE Signal Process Mag 31(6):14–23CrossRefGoogle Scholar
  3. 3.
    Larsson EG, Edfors O, Tufvesson F et al (2014) Massive MIMO for next generation wireless systems. IEEE Commun Mag 52(2):186–195CrossRefGoogle Scholar
  4. 4.
    Hoydis J, Kobayashi M, Debbah M (2011) Green small-cell networks. IEEE Veh Technol Mag 6(1):37–43CrossRefGoogle Scholar
  5. 5.
    Li C, Zhang J, Letaief KB (2014) Throughput and energy efficiency analysis of Small Cell networks with multi-antenna base stations. IEEE Trans Wireless Commun 13(5):2505–2517CrossRefGoogle Scholar
  6. 6.
    Björnson E, Kountouris M, Debbah M (2013) Massive MIMO and small cells: improving energy efficiency by optimal soft-cell coordination. In: International conference on telecommunications (ICT). Casablanca, May 2013Google Scholar
  7. 7.
    Ng DWK, Lo ES, Schober R (2012) Energy-efficient resource allocation in OFDMA systems with large numbers of base station antennas. IEEE Trans Wireless Commun 11(9):3292–3304CrossRefGoogle Scholar
  8. 8.
    Wang H, Zhou X, Reed MC (2014) Coverage and throughput analysis with a non-uniform small cell deployment. IEEE Trans Wireless Commun 13(4):2047–2059CrossRefGoogle Scholar
  9. 9.
    Cui S, Goldsmith AJ, Bahai A (2005) Energy-constrained modulation optimization. IEEE Trans Wireless Commun 4(5):2349–2360CrossRefGoogle Scholar
  10. 10.
    Andrews JG, Baccelli F, Ganti RK (2011) A tractable approach to coverage and rate in cellular networks. IEEE Trans Commun 59(11):3122–3134CrossRefGoogle Scholar
  11. 11.
    Bjornson E, Sanguinett L, Hoydis J et al (2015) Optimal design of energy-efficient multi-user MIMO systems: is massive MIMO the answer. IEEE Trans Wireless Commun 14(6):3059–3075CrossRefGoogle Scholar
  12. 12.
    Huang Y, Palomar DP (2010) Rank-constrained separable semi-definite programming with applications to optimal beamforming. IEEE Trans Signal Processing. 58(2):664–678MathSciNetCrossRefGoogle Scholar
  13. 13.
    Bjornson E, Matthaiou M, Debbah M (2015) Massive MIMO with non-ideal arbitrary arrays: hardware scaling laws and circuit-aware design. IEEE Trans Wireless Commun 14(8):4353–4368CrossRefGoogle Scholar
  14. 14.
    Huh H, Caire G, Papadopoulos HC et al (2012) Achieving ‘massive MIMO’ spectral efficiency with a not-so-large number of antennas. IEEE Trans Wireless Commun 11(9):3226–3239CrossRefGoogle Scholar
  15. 15.
    Kim H, Chae CB, Veciana G et al (2009) Across-layer approach to energy efficiency for adaptive MIMO systems exploiting spare capacity. IEEE Trans Wireless Commun 8(8):4264–4275CrossRefGoogle Scholar
  16. 16.
    Peng J, Hong P, Xue K (2015) Energy-aware cellular deployment strategy under coverage performance constraints. IEEE Trans Wireless Commun 14(1):69–80CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Electronic Information EngineeringInner Mongolia UniversityHohhotChina
  2. 2.Tianjin Key Laboratory of Wireless Mobile Communications and Power TransmissionTianjin Normal UniversityTianjinChina

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