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

  • Le Ty KhanhEmail author
  • Ha Hoang Kha
  • Nguyen Minh Hoang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 257)


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.


Energy efficiency Multicell Precoder design Per-antenna power constraints D.C. programming 



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


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Copyright information

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

Authors and Affiliations

  • Le Ty Khanh
    • 1
    Email author
  • Ha Hoang Kha
    • 1
  • Nguyen Minh Hoang
    • 2
  1. 1.Ho Chi Minh City University of Technology, VNU-HCMHo Chi MinhVietnam
  2. 2.Banking University of HCM CityHo Chi MinhVietnam

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