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Sum-Rate Improvement in Massive MIMO System with User Grouping and Selection, and Antenna Scheduling Scheme

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Abstract

In this paper, we have proposed user grouping method and new user selection techniques in TDD Massive (MIMO) systems. Using K-means clustering algorithm we separate the users into different groups. Upon user groups are formed users are selected from different groups with Semi-Orthogonal (SO) and random user selection criteria. We use two user selection method to select users from different groups, those are-(i) Users are selected in intra-group those are SO with each other along with it also SO with other group’s users, (ii)-Users are selected from inter-group those are SO with each other. For antenna scheduling we used maximum channel gain measure in both the user selection situation. Semi-Orthogonal user selection (SOU) and antenna scheduling with zero forcing precoding demonstrated maximum system sum-rate that is seen in results. In table-1 appraised the computational cost of our modified SOU algorithm. The proposed algorithm’s efficiency is explored through the simulations.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, 517325, India

    Tasher Ali Sheikh

  2. Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology, Arunachal Pradesh, Nirjuli, 791109, India

    Joyatri Bora & Md. Anwar Hussain

Authors
  1. Tasher Ali Sheikh
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  2. Joyatri Bora
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  3. Md. Anwar Hussain
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Correspondence to Tasher Ali Sheikh.

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Sheikh, T.A., Bora, J. & Hussain, M.A. Sum-Rate Improvement in Massive MIMO System with User Grouping and Selection, and Antenna Scheduling Scheme. Wireless Pers Commun 120, 1043–1056 (2021). https://doi.org/10.1007/s11277-021-08503-2

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