Millimeter wave channel estimation for lens based hybrid MIMO with low resolution ADCs
The high path loss associated with millimeter wave (mmWave) frequency communication can be compensated by large scale antenna arrays such as multiple-input multiple-output (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-to-digital 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.
History
Publication status
- Published
File Version
- Accepted version
Journal
2023 IEEE International Conference on Communications Workshops (ICC Workshops)ISSN
2164-7038Publisher
IEEEEvent name
IEEE International Conference on Communications (ICC) WorkshopEvent location
Rome, ItalyEvent type
conferenceEvent date
28 May – 01 June 2023ISBN
9798350333084Department affiliated with
- Engineering and Design Publications
Institution
University of SussexFull text available
- Yes
Peer reviewed?
- Yes