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Long-short term memory based wideband beam tracking scheme for massive mimo systems

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Abstract

Massive multiple-input multiple-output (MIMO) systems at millimeter wave have been touted as a possible technology for 5 G wireless communications. The massive MIMO systems, gathering channel information using a beam tracking approach is crucial for tracking user movement. Conventional beam tracking algorithms for narrowband systems using the classic hybrid precoding framework suffers from the beam split effect and hence cannot be effectively adapted to wideband massive MIMO systems. To address this problem, we describe a long-short term memory (LSTM) network for detecting user movement and calibrating beam direction based on received signals from earlier beam training to improve noise resilience. Simulation findings demonstrate that the proposed approach may reach near-optimal achievable sum-rate performance with little beam training overhead.

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Funding: There is no funding for this research article.

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Author notes

  1. P. Jeyakumar, S. Vishwa, V. Prakash, P. Dinesh, P. Rajesh Ram and P. Muthuchidambaranathan have equally contributed to this work.

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Thalavapalayam, Karur, Tamilnadu, 639113, India

    P. Jeyakumar, S. Vishwa, V. Prakash, P. Dinesh & P. Rajesh Ram

  2. Department of Electronics and Communication Engineering, National Institute of Technology, Thuvakudi, Tiruchirappalli, Tamilnadu, 620015, India

    P. Muthuchidambaranathan

Authors
  1. P. Jeyakumar
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  2. S. Vishwa
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Correspondence to P. Jeyakumar.

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Jeyakumar, P., Vishwa, S., Prakash, V. et al. Long-short term memory based wideband beam tracking scheme for massive mimo systems. Wireless Netw 30, 67–76 (2024). https://doi.org/10.1007/s11276-023-03460-z

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