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Seau Sian Lim

dblp:350/1099 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0005-9249-0514ORCID · reported

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

Computer networks · 1 · 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
Cellular and mobile networks · 50% Edge and fog computing · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
5g
0.712023
Enabling Network Power Savings in 5G-Advanced and Beyond · IEEE J. Sel. Areas Commun. 2023
Edge and fog computing › resource management
resource adaptation
0.712023
Enabling Network Power Savings in 5G-Advanced and Beyond · IEEE J. Sel. Areas Commun. 2023
Energy-efficient computing › green communications
network energy consumption
0.212023
Enabling Network Power Savings in 5G-Advanced and Beyond · IEEE J. Sel. Areas Commun. 2023
Energy-efficient computing
power management
0.212023
Enabling Network Power Savings in 5G-Advanced and Beyond · IEEE J. Sel. Areas Commun. 2023

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

energy consumption modeling · 1.3
YearPublicationVenuePosition
2023 Enabling Network Power Savings in 5G-Advanced and Beyond
abstract
Energy consumption is a critical concern for the 5G mobile operators. 5G NR network may have increased energy consumption compared to its predecessors as it aims to support a plethora of services demanding diverse QoS constraints and requiring deployment of radios at different frequency layers with potentially wider bandwidth and more antennas. Moreover, it is important for the operators to keep the operational expenses and carbon emissions as low as possible as well. At 3GPP, UE power saving has mainly been the focus from Rel 15 till Rel 17 and in Rel 18, a new study item has been introduced to investigate different network power saving techniques. In this paper, we first discuss why 5G NR poses unique challenges for energy consumption with respect to its predecessors. We aim to explore different potential techniques for network power savings via resource adaptation in time, frequency, spatial, and power domain. We also investigate power consumption based on energy consumption model adopted by 3GPP and provide energy efficiency - throughput trade-off analysis to identify which domain has the highest potential for power savings.
Toufiqul Islam, Dae-Won Lee, Seau Sian Lim
IEEE J. Sel. Areas Commun.3