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Power Optimization for Millimeter Wave MIMO System

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Computing Science, Communication and Security (COMS2 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1861))

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Abstract

Water filling algorithm can be used for mmWave (millimetre wave), MIMO (Multiple Input Multiple Output) systems. It offers channel optimality for AWGN and ISI (Additive White Gaussian Noise and Inter Symbol Interference) respectively. In this article we proposed the water filling algorithm for equal power allocation. In this we study the decomposition of MIMO wireless channel with the help of Singular Vector Decomposition (SVD). SVD is used for generating parallel channels and is a factorization of real and complex number. For optimality of MIMO power allocation constrained maximization problem occurs to solve this problem we use Lagrange multiplier. The performance of water filling algorithm may be approach the channel capacity. In this the result when SNR is high the suggested method with equal power allocation of water filling is studied.

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Authors and Affiliations

  1. UIET Punjab University, Chandigarh, India

    Aisha Chauhan, Sarvjit Singh & Preeti Gupta

Authors
  1. Aisha Chauhan
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  2. Sarvjit Singh
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  3. Preeti Gupta
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Corresponding author

Correspondence to Aisha Chauhan .

Editor information

Editors and Affiliations

  1. Ganpat University, Mehsana, India

    Nirbhay Chaubey

  2. Kerala University of Digital Sciences, Innovation and Technology, Trivandrum, India

    Sabu M. Thampi

  3. Taylor's University, Subang Jaya, Malaysia

    Noor Zaman Jhanjhi

  4. Ganpat University, Mehsana, India

    Satyen Parikh

  5. Ganpat University, Mehsana, India

    Kiran Amin

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Chauhan, A., Singh, S., Gupta, P. (2023). Power Optimization for Millimeter Wave MIMO System. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z., Parikh, S., Amin, K. (eds) Computing Science, Communication and Security. COMS2 2023. Communications in Computer and Information Science, vol 1861. Springer, Cham. https://doi.org/10.1007/978-3-031-40564-8_17

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  • DOI: https://doi.org/10.1007/978-3-031-40564-8_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40563-1

  • Online ISBN: 978-3-031-40564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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