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Review Paper on Joint Beamforming, Power Control and Interference Coordination for Non-orthogonal Multiple Access in Wireless Communication Networks for Efficient Data Transmission

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Robotics, Control and Computer Vision

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1009))

Abstract

Over the last several years, NOMA has moved into a technology-driven era for enriching the downlink spectrum utilisation in a multi-user system by using superposition coding and successive interference cancellation (SIC). When BS is equipped with an antenna array, downlink beamforming may be utilised in conjunction with NOMA to transmit downlink broadcasts. By extending the SDP formulation to include conventional (multi-user) beamforming, we are able to address the multi-user NOMA beamforming issue as an SDP problem, which is a significant advance. When picking SIC sets for generalised NOMA beamforming, the correlation between channel vectors is explored as a low-complexity technique of selecting channel vectors. According to our consideration, NOMA beamforming outperforms conventional beamforming on average when subjected to scattering conditions.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Nagpur, Maharashtra, India

    Leela Siddiramlu Bitla & Chandrashekhar Sakode

Authors
  1. Leela Siddiramlu Bitla
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  2. Chandrashekhar Sakode
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Correspondence to Chandrashekhar Sakode .

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Editors and Affiliations

  1. National Institute of Technology Uttarakhand, Srinagar, India

    Hariharan Muthusamy

  2. Eötvös Loránd University, Budapest, Hungary

    János Botzheim

  3. Queensland University of Technology, Brisbane, QLD, Australia

    Richi Nayak

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Bitla, L.S., Sakode, C. (2023). Review Paper on Joint Beamforming, Power Control and Interference Coordination for Non-orthogonal Multiple Access in Wireless Communication Networks for Efficient Data Transmission. In: Muthusamy, H., Botzheim, J., Nayak, R. (eds) Robotics, Control and Computer Vision. Lecture Notes in Electrical Engineering, vol 1009. Springer, Singapore. https://doi.org/10.1007/978-981-99-0236-1_38

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