Millimeter wave channel estimation for lens based hybrid MIMO with low resolution ADCs

Evangelos Vlachos*, Aryan Kaushik, Muhammad Zeeshan Shakir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The high path loss associated with millimeter wave (mmWave) frequency communication can be compensated by large scale antenna arrays such as multiple-input multipleoutput (MIMO) systems. The hybrid beamforming architecture which uses fewer radio frequency chains is implemented to reduce power consumption and hardware complexity, while still supporting multi-stream communication. We propose an efficient expectation-maximization (EM)-based mmWave channel estimator for a lens-based hybrid MIMO system with low resolution sampling at the receiver. The lens-based beamformer is investigated to provide increased antenna gain and reduced implementation complexity as the conventional beam selection network is excluded. Low resolution sampling at the analog-todigital converters is implemented for reduced power consumption. The proposed solution with a robust maximum a posteriori estimator based on the EM algorithm performs better than the conventional EM approach and minimum mean square error baselines in medium to high signal-to-noise ratio regions.
Original languageEnglish
Title of host publicationIEEE ICC 2023 Conference Proceedings
Publication statusAccepted/In press - 10 Mar 2023


  • mmWave channel estimation
  • lens-based hybrid MIMO
  • low resolution ADCs


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