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Yehong Qiu

dblp:188/5743 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Computer networks · 1

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.

Computer networks
1 paper
Cellular and mobile networks · 77% Network performance modeling · 23%

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

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › cellular network performance
area spectral efficiency
0.312018
Small-Cell Networks With Fractal Coverage Characteristics · IEEE Trans. Commun. 2018
Cellular and mobile networks
coverage analysis
0.312018
Small-Cell Networks With Fractal Coverage Characteristics · IEEE Trans. Commun. 2018
Network performance modeling
network performance analysis
0.312018
Small-Cell Networks With Fractal Coverage Characteristics · IEEE Trans. Commun. 2018
Cellular and mobile networks
small cell networks
0.312018
Small-Cell Networks With Fractal Coverage Characteristics · IEEE Trans. Commun. 2018
Cellular and mobile networks
5g
0.112018
Small-Cell Networks With Fractal Coverage Characteristics · IEEE Trans. Commun. 2018

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

stochastic geometry · 0.3fractal analysis · 0.3
YearPublicationVenuePosition
2018 Small-Cell Networks With Fractal Coverage Characteristics
abstract
To meet massive wireless traffic demand in the future fifth generation (5G) cellular networks, small-cell networks are emerging as an attractive solution for 5G network deployments. The cellular coverage characteristic is a key issue for the deployment of the small-cell networks. Considering the anisotropic path loss in wireless channels of real cellular scenarios, in this paper the fractal coverage characteristic is first used to evaluate the performance of the small-cell networks. Moreover, the coverage probability, average achievable rate, and the area spectral efficiency are derived for fractal small-cell networks. Compared with the average achievable rate and area spectral efficiency with isotropic path loss models, the average achievable rate and area spectral efficiency with anisotropic path loss models have been underestimated in the fractal small-cell networks. Considering the impact of the anisotropic path loss on wireless channels, most of performances of wireless cellular networks need to be re-evaluated. This paper provides a tractable method to investigate the performance of the small-cell networks with fractal coverage characteristics.
Xiaohu Ge, Xiaotong Tian, Yehong Qiu, Guoqiang Mao, Tao Han 0001
IEEE Trans. Commun.3