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Optimisation of the CSIT Allocation Size for Interference Alignment Technique in Massive MIMO Networks

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Advanced Information Networking and Applications (AINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1151))

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Abstract

Massive multiple-input multiple-output systems use a nearly infinite number of high-quality antennas at the transmitter/receiver are anticipated to play a key role in “5G” systems. However, the large number of antenna elements in massive MIMO also posed interference a major deficiency for successful communication in wireless systems. This work deals with Interference Alignment (IA) technique for mitigating the interference, although massive-antennas ‘based’ transmitters coordinated transmission where each transmission creates interference at the unintended receivers, such that the interference signal lies in a reduced dimensional subspace at each receiver. Recent works deal with the feasibility of IA in terms of the numbers of antennas and assume full channel state information at the transmitter (CSIT) is defined by the perfect knowledge of the global channel matrix. In this paper, we develop an algorithm, which ensures IA with incomplete CSIT, which uses the antennas ensured by Massive MIMO to further minimize the size of the CSIT allocation provided that the feasibility of the interference alignment is conserved and make transmitter cooperation more practical. Where the size of the CIST allocation defined as the total of complex numbers transmitted to the transmitter.

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Author information

Authors and Affiliations

  1. National Engineering School of Tunis, University of Tunis El Manar, BP 37, University Campus, Belvedere, 1002, Tunis, Tunisia

    Hosni Manai

  2. Higher School of Communication of Tunis, Innov’Com Laboratory (LR11TIC03), University of Carthage, Raoued Road Km 3,5, 2083, Ariana, Tunisia

    Hosni Manai, Larbi Ben Hadj Slama & Ridha Bouallegue

Authors
  1. Hosni Manai
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  2. Larbi Ben Hadj Slama
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  3. Ridha Bouallegue
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Corresponding authors

Correspondence to Hosni Manai , Larbi Ben Hadj Slama or Ridha Bouallegue .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Manai, H., Ben Hadj Slama, L., Bouallegue, R. (2020). Optimisation of the CSIT Allocation Size for Interference Alignment Technique in Massive MIMO Networks. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_60

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