SdBaSE: Software-defined Base Station for Energy-efficient Federated Cellular Networks

  • Sunae Shin
  • , Sejun Song
  • , Manasa Leela Gummadavelly
  • , Baek Young Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

By offering various advantages, including faster data transmission speed, greater capacity, lower latency, and reliability, 5G becomes an enabling technology for future mobile applications such as smart cities, intelligent transportation, education, entertainment, smart homes, and healthcare. However, co-existing with 4G LTE networks over the next decade, a 5G base station adds three times additional power consumption over a 4G base station, and more 5G base stations are required to cover the same area. Hence, it is essential to devise schemes to improve energy efficiency in cellular networks (both 4G LTE and 5G) to tackle mounting deployments and large energy consumption of base stations. In this paper, we propose a Software-defined Base Station for Energy-efficient Federated Cellular Networks (SdBaSE). SdBaSE is designed as a network function virtualization (NFV) of the service-based architecture (SBA) in 5G NR and an eNodeB power control NFV in 4G LTE. It provides significant benefits over current cellular networks that suffer from inflexible cell power management and complex control. We develop a cell management algorithm on the architecture that can effectively control base station sleep and awake modes and perform handover operations in a cellular network. Our trace-driven evaluation results show that the proposed control architecture and the cell management algorithm incur more cells in a sleep mode for longer durations. Besides, it causes lower cell status changes than existing cell-zooming approaches, achieving significant energy savings.

Original languageEnglish (US)
Title of host publicationICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationAccelerating Digital Transformation with ICT Innovation
PublisherIEEE Computer Society
Pages962-964
Number of pages3
ISBN (Electronic)9781665499392
DOIs
StatePublished - 2022
Externally publishedYes
Event13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of
Duration: Oct 19 2022Oct 21 2022

Publication series

NameInternational Conference on ICT Convergence
Volume2022-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period10/19/2210/21/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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