Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Cover of the book

2018 | OriginalPaper | Chapter

Application of NSGA-II Algorithm to Energy and Spectral Efficiency Trade-off in Massive MIMO Systems with Antenna Selection

Authors : Qiaoqiao Zhang, Xuebin Sun, Dianjun Chen

Published in: Signal and Information Processing, Networking and Computers

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In the massive multiple input multiple output (MIMO) system with transmit antenna selection, considering large-scale fading and power consumption, the trade-off between energy efficiency (EE) and spectral efficiency (SE) is important for green communication and meeting the traffic request. However, the diversities of the solution spaces (decision and objective domain) which the existing method obtained are not enough. In this paper, we adopt the non-dominated sorting genetic algorithm version II (NSGA-II) algorithm to study the EE-SE trade-off, which is summarized as a multi-objective optimization (MOO) problem. Simulation results show that compared with the weighted-sum particle swarm optimization (WS-PSO) algorithm, NSGA-II has obvious advantages on the diversity of solution set in both decision and objective domains.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
next chapter A PHY-Based Secret Sharing Scheme in MIMO Systems
Literature
1.
Sanayei, S., Nosratinia, A.: Antenna selection in mimo systems. IEEE Commun. Mag. 42(10), 68–73 (2004)CrossRefMATH
2.
Lee, B.M., Choi, J.H., Bang, J.H., Kang, B.C.: An energy efficient antenna selection for large scale green MIMO systems. In: IEEE International Symposium on Circuits and Systems, pp. 950–953. IEEE (2013)
3.
Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9(11), 3590–3600 (2010)CrossRef
4.
Liu, W., Han, S., Yang, C., Sun, C.: Massive MIMO or small cell network: who is more energy efficient?. In: Wireless Communications and Networking Conference Workshops, vol. 12, pp. 24–29. IEEE (2013)
5.
Li, C., Zhang, J., Letaief, K.B.: Throughput and energy efficiency analysis of small cell networks with multi-antenna base stations. IEEE Trans. Wirel. Commun. 13(5), 2505–2517 (2014)CrossRef
6.
Liu, Z., Du, W., Sun, D.: Energy and spectral efficiency tradeoff for massive MIMO systems with transmit antenna selection. IEEE Trans. Veh. Technol. 66(5), 4453–4457 (2017)
7.
Deb, K.: A fast elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2000)CrossRef
8.
Kannan, S., Baskar, S., Mccalley, J.D., Murugan, P.: Application of NSGA-II algorithm to generation expansion planning. IEEE Trans. Power Syst. 24(1), 454–461 (2009)CrossRef
9.
Zhou, L.Y., Jiang, L., Jiang, D.F.: On the use of improved NSGA-II for multi-objective resource allocation in MIMO-OFDMA systems. In: Wireless Communication Technology (2013)
10.
Björnson, E., Sanguinetti, L., Hoydis, J., Debbah, M.: Optimal design of energy-efficient multi-user MIMO systems: is massive mimo the answer? IEEE Trans. Wirel. Commun. 14(6), 3059–3075 (2015)CrossRef
11.
Cui, S., Goldsmith, A.J., Bahai, A.: Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE J. Sel. Areas Commun. 22(6), 1089–1098 (2004)CrossRef
12.
Ha, D., Lee, K., Kang, J.: Energy efficiency analysis with circuit power consumption in massive MIMO systems. In: IEEE International Symposium on Personal Indoor and Mobile Radio Communications, vol. 27, pp. 938–942. IEEE (2013)
Metadata
Title
Application of NSGA-II Algorithm to Energy and Spectral Efficiency Trade-off in Massive MIMO Systems with Antenna Selection
Authors
Qiaoqiao Zhang
Xuebin Sun
Dianjun Chen
Copyright Year
2018
Publisher
Springer Singapore
Book
Signal and Information Processing, Networking and Computers

Print ISBN: 978-981-10-7520-9

Electronic ISBN: 978-981-10-7521-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7521-6_1