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Energy Efficiency Maximization with Per-Antenna Power Constraints for Multicell Networks Using D.C. Programming

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Industrial Networks and Intelligent Systems (INISCOM 2018)

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Abstract

This paper studies the energy efficiency (EE) optimization problem in multicell wireless networks in which each base station (BS) equipped with multiple antennas serves multiple users at the same time and in the same frequency. The problem of interest is to design the precoders to maximize the network EE subject to practical power constraints at physical layers. The resultant optimization design problem is nonconvex fractional programming and, thus, finding its optimal solution is mathematically challenging. In this paper, we use a combination of difference of convex (d.c.) programming and the Dinkelbach algorithm to iteratively solve the optimization problem. Then, by numerical simulations, we verify the convergence characteristics of the iterative algorithm and examine the EE performance of the system as compared to an spectral efficiency (SE) approach.

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Acknowledgement

This research is funded by Vietnam National University HoChiMinh City (VNU-HCM) under grant number C2017-20-12.

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Authors and Affiliations

  1. Ho Chi Minh City University of Technology, VNU-HCM, Ho Chi Minh, Vietnam

    Le Ty Khanh & Ha Hoang Kha

  2. Banking University of HCM City, Ho Chi Minh, Vietnam

    Nguyen Minh Hoang

Authors
  1. Le Ty Khanh
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  2. Ha Hoang Kha
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  3. Nguyen Minh Hoang
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Corresponding author

Correspondence to Le Ty Khanh .

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Editors and Affiliations

  1. Queen’s University Belfast, Belfast, UK

    Trung Q Duong

  2. Duy Tan University, Da Nang, Vietnam

    Nguyen-Son Vo

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Khanh, L.T., Kha, H.H., Hoang, N.M. (2019). Energy Efficiency Maximization with Per-Antenna Power Constraints for Multicell Networks Using D.C. Programming. In: Duong, T., Vo, NS. (eds) Industrial Networks and Intelligent Systems. INISCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 257. Springer, Cham. https://doi.org/10.1007/978-3-030-05873-9_24

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  • DOI: https://doi.org/10.1007/978-3-030-05873-9_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05872-2

  • Online ISBN: 978-3-030-05873-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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