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Kecheng Li

dblp:288/9554 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0000-3000-4887ORCID · reported

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

Computer networks · 1 · 1 first-author · 1 since 2021

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
Physical-layer communications · 75% Vehicular, aerial and satellite networks · 25%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications
multiple access
0.912025
Performance Analysis of OMA/NOMA-Aided Satellite Communication Networks: A Stochastic Geometry Approach · IEEE Trans. Commun. 2025
Physical-layer communications › multiple access
non-orthogonal multiple access
0.912025
Performance Analysis of OMA/NOMA-Aided Satellite Communication Networks: A Stochastic Geometry Approach · IEEE Trans. Commun. 2025
Physical-layer communications
outage probability
0.912025
Performance Analysis of OMA/NOMA-Aided Satellite Communication Networks: A Stochastic Geometry Approach · IEEE Trans. Commun. 2025
Vehicular, aerial and satellite networks
satellite communication
0.912025
Performance Analysis of OMA/NOMA-Aided Satellite Communication Networks: A Stochastic Geometry Approach · IEEE Trans. Commun. 2025
Performance modeling and evaluation › stochastic modeling
stochastic geometry
0.312025
Performance Analysis of OMA/NOMA-Aided Satellite Communication Networks: A Stochastic Geometry Approach · IEEE Trans. Commun. 2025

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

stochastic geometry · 1.7poisson point process · 1.7
YearPublicationVenuePosition
2025 Performance Analysis of OMA/NOMA-Aided Satellite Communication Networks: A Stochastic Geometry Approach
abstract
The increasing quality of service requirements and demand for satellite services necessitate higher data rates, spectral efficiency, and stability in satellite communication networks. Therefore, this paper investigates the non-orthogonal multiple access (NOMA) assisted satellite communication networks, where multiple users are uniformly distributed over a spherical hat according to the homogeneous Poisson point process (HPPP). Based on the characteristics of HPPP, we analyze the distance distributions of users. To evaluate the performance of the proposed networks, we first derive the closed-form expressions and approximated expressions of the outage probability (OP) for paired NOMA users. To obtain more insights into the proposed networks, the ergodic rate and diversity orders for paired NOMA users are also derived. Spectral efficiency is derived for NOMA and orthogonal multiple access (OMA) assisted satellite communication networks. Our analytical results demonstrate that the diversity order of the proposed networks is all one. Numerical results confirm that: 1) compared to OMA, the proposed NOMA-assisted satellite network demonstrates superior outage performance and spectral efficiency, especially in the higher power regimes; 2) fading factors have negligible effects on OP and spectral efficiency; and 3) under certain target rates for both near and far users, the outage performance of far users in NOMA-assisted satellite communication networks is superior to that of near users.
Kecheng Li, Jun Wang 0119, Tianwei Hou, Anna Li, Xinwei Yue, Yuanwei Liu, Wei Chen 0016
IEEE Trans. Commun.1