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Shiyong Yang

dblp:68/1137 · DBLP profile ↗
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5ranked-venue papers
4as first author
0since 2021 · last 2014
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-authorComputer networks · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Information theory · 67% Mathematical optimization · 33%
Computer networks
1 paper
Network optimization and economics · 50% Physical-layer communications · 50%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › power allocation
adaptive power allocation		 0.112012
Closed-Form Optimal Power Allocation for Weighted Rate Sum Maximization in Gaussian Broadcast Channel · IEEE Trans. Commun. 2012
Network optimization and economics
resource allocation		 0.112012
Closed-Form Optimal Power Allocation for Weighted Rate Sum Maximization in Gaussian Broadcast Channel · IEEE Trans. Commun. 2012
Information theory › network information theory › broadcast channel
gaussian broadcast channel		 0.112012
Closed-Form Optimal Power Allocation for Weighted Rate Sum Maximization in Gaussian Broadcast Channel · IEEE Trans. Commun. 2012
Information theory › interference management › power control
power allocation		 0.112012
Closed-Form Optimal Power Allocation for Weighted Rate Sum Maximization in Gaussian Broadcast Channel · IEEE Trans. Commun. 2012
Mathematical optimization › constrained optimization
sum-rate maximization		 0.112012
Closed-Form Optimal Power Allocation for Weighted Rate Sum Maximization in Gaussian Broadcast Channel · IEEE Trans. Commun. 2012

Methods — techniques the papers use, named apart from their topics

closed-form optimal solution derivation · 0.3
YearPublicationVenuePosition
2014 Detection of the number of two-dimensional harmonics in additive colored noise
abstract
ABSTRACT This paper proposes a novel method to detect the number of two‐dimensional (2D) harmonics in additive colored noise based on the enhanced covariance matrix. We define an enhanced covariance matrix using the covariances of the observed signal. We get a special inherent relation between the number of 2D harmonics in additive colored noise and the eigenvalues of the enhanced covariance matrix, which can be used to detect the number of 2D harmonics in additive colored noise by analyzing the eigenvalues of the enhanced covariance matrix. The proposed method has a super resolution and does not need to assume the color and distribution of the additive noise. The effectiveness of the proposed method has been validated by both the theoretical analysis and extensive simulations. Copyright © 2012 John Wiley & Sons, Ltd.
Shiyong Yang, Hongwei Li 0003, Tao Jiang 0002
 Wirel. Commun. Mob. Comput.1
2013 A closed-form expression for false alarm rate of adaptive MIMO-GLRT detector with distributed MIMO radar
Jun Liu 0004, Zi-Jing Zhang, Yunhe Cao, Shiyong Yang
 Signal Process.4
2012 Closed-Form Optimal Power Allocation for Weighted Rate Sum Maximization in Gaussian Broadcast Channel
abstract
This paper is motivated by optimal adaptive resource allocation policies at the base station in wireless communication systems, and we particularly study the maximization of the weighted rate sum in Gaussian broadcast channel. The problem of finding the optimal power allocation in Gaussian broadcast channel is non-convex and intractable to solve using traditional methods with low complexity. In this paper, we derive a closed-form optimal solution of the weighted rate sum maximization in Gaussian broadcast channel. The derived closed-form optimal solution can give the optimal power allocation for the weighted rate sum maximization one time and does not need to determine the water level and iterative process. Thus, it is very easy to be implemented with an adaptive power allocation in the real communication systems.
Shiyong Yang, Tao Jiang 0002
 IEEE Trans. Commun.1
2007 Estimation of the number of harmonics in multiplicative and additive noise
Shiyong Yang, Hongwei Li 0003
 Signal Process.1
2007 Estimating the Number of Harmonics Using Enhanced Matrix
abstract
In this letter, we present a new method for estimating the number of harmonics in colored noise using enhanced matrix. We construct an enhanced matrix from the data samples and then analyze the eigenvalues of the covariance matrix of enhanced matrix. The number of harmonics is inherent with the eigenvalues, and it can be estimated using the special property of the eigenvalues. The presented method does not assume the distribution and color of the additive noise. Simulation results are provided to verify the effectiveness of the presented method
Shiyong Yang, Hongwei Li 0003
 IEEE Signal Process. Lett.1