|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'506'133
Articles rated: 2609
26 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Channel Training for Analog FDD Repeaters: Optimal Estimators and Cram'er-Rao Bounds | | Stefan Wesemann
; Thomas L. Marzetta
; | | Date: |
11 Oct 2016 | | Abstract: | A network of analog repeaters, each fed by a wireless fronthaul link and
powered by e.g., solar energy, is a promising candidate for a flexible small
cell deployment. A key challenge is the acquisition of accurate channel state
information by the fronthaul hub (FH), which is needed for the spatial
multiplexing of multiple fronthaul links over the same time/frequency resource.
For frequency division duplex channels, a simple pilot loop-back procedure has
been proposed that allows the estimation of the UL & DL channels at the FH
without relying on any digital signal processing at the repeater side. For this
scheme, we derive the maximum likelihood (ML) estimators for the UL & DL
channel subspaces, formulate the corresponding Cram’er-Rao bounds and show the
asymptotic efficiency of both (SVD-based) estimators by means of Monte Carlo
simulations. In addition, we illustrate how to compute the underlying (rank-1)
SVD with quadratic time complexity by employing the power iteration method. To
enable power control for the fronthaul links, knowledge of the channel gains is
needed. Assuming that the UL & DL channels have on average the same gain, we
formulate the ML estimator for the UL channel gain, and illustrate its
robustness against strong noise by means of simulations. | | Source: | arXiv, 1610.3260 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER