Optimizing the energy efficiency for future 5G networks

Betim Maloku, Bujar Krasniqi, Fjolla Ademaj

Research output: Conference proceeding/Chapter in Book/Report/Conference Paperpeer-review

Abstract

One of the challenges for the 5th generation of mobile cellular networks is the energy consumption efficiency. In this paper we propose an optimization algorithm that maximizes the energy efficiency. We apply the proposed optimization algorithm for both indoor- and outdoor users. The energy efficiency optimization is carried under various network conditions such as maximizing the bit rate, minimizing the transmit power and minimizing the interference. We use the dual decomposition technique to find the optimal solution in terms of energy efficiency, under the condition for optimal power allocation. Our results reveal an increase in terms of energy efficiency by applying our algorithm. Furthermore they show a higher energy efficiency achieved under the dynamic power allocation compared to a static power allocation.
Original languageEnglish
Title of host publication2016 International Conference on Systems, Signals and Image Processing (IWSSIP)
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Print)978-1-4673-9554-0
DOIs
Publication statusPublished - 25 May 2016
Externally publishedYes
Event2016 International Conference on Systems, Signals and Image Processing (IWSSIP) - Bratislava, Slovakia
Duration: 23 May 201625 May 2016

Publication series

Name2016 International Conference on Systems, Signals and Image Processing (IWSSIP)

Conference

Conference2016 International Conference on Systems, Signals and Image Processing (IWSSIP)
Period23/05/1625/05/16

Keywords

  • Resource management
  • Optimization
  • 5G mobile communication
  • Interference
  • Antennas
  • Classification algorithms
  • Bandwidth
  • 5G
  • dual decomposition
  • dynamic power allocation
  • energy efficiency
  • convex optimization

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