Works (8)
Updated: July 5th, 2023 15:56
2018 journal article
Kinetic modeling of lactic acid and acetic acid effects on butanol fermentation by Clostridium saccharoperbutylacetonicum
FUEL, 226, 181–189.
author keywords: Butanol; Lactic acid; Acetic acid; Kinetic modeling; Clostridium saccharoperbutylacetonicum
UN Sustainable Development Goal Categories
12. Responsible Consumption and Production
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
2018 journal article
Modeling Butanol Synthesis in Xylose by Clostridium saccharoperbutylacetonicum
BIORESOURCES, 13(4), 7270–7280.
author keywords: Butanol; Xylose; Kinetic modeling; Copasi; Clostridium saccharoperbutylacetonicum
UN Sustainable Development Goal Categories
12. Responsible Consumption and Production
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: January 14, 2019
2018 journal article
The effect of furfural and 5-hydroxymethyl furfural on butyric acid fermentation by Clostridium tyrobutyricum
Journal of Chemical Technology and Biotechnology, 93(3), 849–854.
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
12. Responsible Consumption and Production
(Web of Science)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2007 journal article
Asymptotic analysis on the interaction between spatial diversity and multiuser diversity in wireless networks
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 55(8), 4271–4283.
author keywords: average system capacity; multiple-input multiple-output (MIMO); multiuser diversity; scheduling gain; spatial diversity
TL;DR:
Through asymptotic analysis of the average system capacity and scheduling gain, this paper investigates the cross-layer interaction between these two forms of diversity in wireless networks.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2006 journal article
Asymptotic analysis in MIMO MRT/MRC systems
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING.
TL;DR:
The analysis of the probability density function of the squared largest singular value of a complex Gaussian matrix at the origin and tail reveals a simple connection with system parameters, providing good insights for the design of MIMO diversity systems.
(via Semantic Scholar)
doi.org (publisher)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2006 conference paper
Joint Tomlinson-Harashima Precoding and Scheduling for Multiuser MIMO with Imperfect Feedback
2006 ieee wireless communications and networking conference (wcnc 2006), vols 1-4, 1233–1238.
TL;DR:
A crosslayer approach that explores Tomlinson-Harashima precoding (THP) at the physical layer to reduce the multiuser scheduling burden at the MAC layer, and improves the sum rate of the downlinkMultiuser MIMO system.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2006 journal article
Joint antenna selection and link adaptation for MIMO systems
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 55(1), 243–255.
author keywords: Cholesky decomposition; multi-input multi-output (MIMO) systems; QR decomposition
TL;DR:
This paper proposes one simplified antenna selection and link adaptation rule based on the expected optimal number of active antennas for uncorrelated MIMO with Raleigh fading, and one for correlated MIMo channels only based onThe slowly varying channel correlation information.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2006 article
On the diversity order of spatial multiplexing systems with transmit antenna selection: A geometrical approach
Zhang, H., Dai, H., Zhou, Q., & Hughes, B. L. (2006, December). IEEE TRANSACTIONS ON INFORMATION THEORY, Vol. 52, pp. 5297–5311.
author keywords: antenna selection; diversity order; diversity and multiplexing tradeoff; multiple-input-multiple-output (MIMO); spatial multiplexing
TL;DR:
A geometrical framework is proposed to theoretically analyze the diversity order achieved by transmit antenna selection for separately encoded spatial multiplexing systems with linear and decision-feedback receivers.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
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