SmartMME: Implementation of Base Station Switching Off Strategy in ns-3

In the landscape of next-generation cellular networks, a projected surge of over 12 billion subscriptions foreshadows a considerable upswing in the network’s overall energy consumption. The proliferation of User Equipment (UE) drives this energy demand, urging 5G deployments to seek more energy-efficient methodologies. In this work, we propose SmartMME, as a pivotal solution aimed at optimizing Base Station (BS) energy usage. By harnessing and analyzing critical network states—such as UE connections, data traffic at individual UEs, and other pertinent metrics—our methodology intelligently orchestrates the BS’s power states, making informed decisions on when to activate or deactivate the BS. This meticulous approach significantly curtails the network’s overall energy consumption. In a bid to validate its efficiency, we seamlessly integrated our module into Network Simulator-3 (ns-3), conducting extensive testing to demonstrate its prowess in effectively managing and reducing net energy consumption. As advocates of collaborative progress, we’ve opted to open-source this module, inviting the engagement and feedback of the wider research community on GitHub<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>.<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>https://github.com/ns3-dev/ns3-mmwave (Accessed: December 12, 2024)

Authors

Institutions

Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ants63515.2024.10898561
Citations
1
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SmartMME: Implementation of Base Station Switching Off Strategy in ns-3

Seemant Achari, Argha Sen, Bhupendra Pal
1 citations
Power Line Communications and Noise
0.21
article

SmartMME: Implementation of Base Station Switching Off Strategy in ns-3

Seemant Achari, Argha Sen, Bhupendra Pal
article en
1 citations

Abstract

In the landscape of next-generation cellular networks, a projected surge of over 12 billion subscriptions foreshadows a considerable upswing in the network’s overall energy consumption. The proliferation of User Equipment (UE) drives this energy demand, urging 5G deployments to seek more energy-efficient methodologies. In this work, we propose SmartMME, as a pivotal solution aimed at optimizing Base Station (BS) energy usage. By harnessing and analyzing critical network states—such as UE connections, data traffic at individual UEs, and other pertinent metrics—our methodology intelligently orchestrates the BS’s power states, making informed decisions on when to activate or deactivate the BS. This meticulous approach significantly curtails the network’s overall energy consumption. In a bid to validate its efficiency, we seamlessly integrated our module into Network Simulator-3 (ns-3), conducting extensive testing to demonstrate its prowess in effectively managing and reducing net energy consumption. As advocates of collaborative progress, we’ve opted to open-source this module, inviting the engagement and feedback of the wider research community on GitHub<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>.<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>https://github.com/ns3-dev/ns3-mmwave (Accessed: December 12, 2024)

Indian Institute of Technology Kharagpur (IN)
Openalex Percentile: Top 43%
Power Line Communications and Noise
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SmartMME: Implementation of Base Station Switching Off Strategy in ns-3 — Seemant Achari, Argha Sen, et al. · (2024) | TGRS Research Map | TGRS