Ciuonzo, Domenico, Rossi, Pierluigi Salvo and Dey, Subhrakanti (2014) Massive MIMO meets decision fusion: Decode-and-fuse vs. decode-then-fuse. In: 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, pp. 265-268. ISBN 9781479914814
Preview
massive MIMO.pdf
Download (672kB) | Preview
Abstract
We study channel-aware decision fusion over a multiple-input multiple-output (MIMO) channel in the largearray regime at the decision-fusion center (DFC). Inhomogeneous large-scale fading between the sensors and the DFC is consider in addition to the small-scale fading, and pilot-based channel estimation is performed at the DFC. Linear processing techniques are analyzed in order to design low-complexity alternatives to the optimum log-likelihood ratio test (LLRT). Performance evaluation based on Monte Carlo simulations are presented.
Item Type: | Book Section |
---|---|
Additional Information: | Cite as: D. Ciuonzo, P. Salvo Rossi and S. Dey, "Massive MIMO meets decision fusion: Decode-and-fuse vs. decode-then-fuse," 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014, pp. 265-268, doi: 10.1109/SAM.2014.6882391. |
Keywords: | Massive MIMO; Decision Fusion; Decode-and-Fuse; Decode-then-Fuse; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 14506 |
Identification Number: | 10.1109/SAM.2014.6882391 |
Depositing User: | Subhrakanti Dey |
Date Deposited: | 03 Jun 2021 15:37 |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/14506 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year