Optimizing the mmWave Channel Estimation Duration by Rate Prediction
- Authors
- Kang, Jeongwan; Garcia, Nil; Wymeersch, Henk; Fischione, Carlo; Seco-Granados, Gonzalo; Kim, Sunwoo
- Issue Date
- Feb-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Channel estimation; Radio frequency; Downlink; Training; Electronic mail; Covariance matrices; Data communication; Channel estimation duration; rate prediction; CRB; mmWave; MIMO
- Citation
- IEEE COMMUNICATIONS LETTERS, v.25, no.2, pp.555 - 559
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE COMMUNICATIONS LETTERS
- Volume
- 25
- Number
- 2
- Start Page
- 555
- End Page
- 559
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8037
- DOI
- 10.1109/LCOMM.2020.3029107
- ISSN
- 1089-7798
- Abstract
- In millimeter-wave (mmWave) wireless communications, the duration of the channel estimation plays a major role to establish the links before data transmission. However, fixed or long channel estimation can substantially hinder the achievable transmit data rates. In this letter, we propose a new scheme that optimizes the channel estimation duration to establish the link between the base station (BS) and a mobile station (MS) in mmWave communications. Before pilot transmissions, the BS predicts the downlink effective rate that would be achieved after channel estimation with the pilot precoder and compares this predicted rate with the current rate, based on the current channel estimates. The proposed scheme optimizes the mmWave channel estimation duration by ending pilot transmissions when the predicted rate is lower than the current rate.
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