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Energy Efficient Power Allocation in Massive MIMO Systems with Power Limited Users

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Proceedings of the 4th International Conference on Telecommunications and Communication Engineering (ICTCE 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 797))

Abstract

In this paper, we investigate energy-efficient (EE) power allocation (PA) for a special downlink scenario of the massive multiple-input multiple-output (MIMO) systems. We consider a minimum power required for each user to ensure that the quality of service (QoS) for each user is satisfied. In this method, a comparison between the sum of minimum power required by users and the maximum transmission power is done to determine whether maximizing EE is possible or not. If the sum of the minimum power required by users is less than the maximum transmission power, we maximize EE. Otherwise, the number of admitted users in a cluster is maximized. In both cases, the simulation results show that the proposed algorithm has better performance than similar algorithms.

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, University of Tabriz, Tabriz, Iran

    Abdolrasoul Sakhaei Gharagezlou, Mahdi Nangir & Nima Imani

  2. Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran

    Erfan Mirhosseini

Authors
  1. Abdolrasoul Sakhaei Gharagezlou
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  2. Mahdi Nangir
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  3. Nima Imani
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  4. Erfan Mirhosseini
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Corresponding author

Correspondence to Mahdi Nangir .

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Maode Ma

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Gharagezlou, A.S., Nangir, M., Imani, N., Mirhosseini, E. (2022). Energy Efficient Power Allocation in Massive MIMO Systems with Power Limited Users. In: Ma, M. (eds) Proceedings of the 4th International Conference on Telecommunications and Communication Engineering. ICTCE 2020. Lecture Notes in Electrical Engineering, vol 797. Springer, Singapore. https://doi.org/10.1007/978-981-16-5692-7_5

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  • DOI: https://doi.org/10.1007/978-981-16-5692-7_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5691-0

  • Online ISBN: 978-981-16-5692-7

  • eBook Packages: EngineeringEngineering (R0)

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