NDLI: Traffic-aware sleep mode algorithm for 5G networks

Content Provider	IEEE Xplore Digital Library
Author	Costa Araujo, I.L. Klautau, A.
Copyright Year	2015
Description	Author affiliation: Lab. de Processamento de Sinais, Belem, Brazil (Costa Araujo, I.L.; Klautau, A.)
Abstract	Traffic forecasts suggest increasing mobile data rates, which motivates research on new technologies collectively called 5G features. Among these is hyper-dense deployment of small cells to maximize capacity. However, this small cell deployment can significantly increase the network global energy consumption. Aiming at an efficient utilization of energy for small cells, this work focuses on a sleep mode solution with traffic-aware capability and assuming millimeter wave communications. Results are presented for the energy percentage saved for several traffic patterns and show the potential of the proposed sleep mode solution. For example, in a specific scenario it can achieve around 55% of energy savings. Moreover, an energy analysis concerning load-dependent power consumption for small cells in the context of 5G networks is conducted. This analysis highlights the relevance of assuming a load-dependent power consumption in millimeter wave communications.
Starting Page	1
Ending Page	5
File Size	272195
Page Count	5
File Format	PDF
ISBN	9781467376228
DOI	10.1109/IWT.2015.7224571
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-14
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Base stations Power demand Sleep mode Millimeter wave technology Traffic aware algorithm Mathematical model Small cells Milimeter wave communications
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Energy efficiency in 5G access networks: Small cell densification and high order sectorisation

An energy efficient power control mechanism for base stations in mobile communication systems

TAES: Traffic-aware energy-saving base station sleeping and clustering in cooperative networks

Energy-delay tradeoffs of virtual base stations with a computational-resource-aware energy consumption model

Reducing energy consumption in cellular networks by adjusting transmitted power of base stations

A Traffic-Aware Adaptive Sleep Mode Operation for IEEE 802.16e Based WiMAX

Base station sleeping mechanism based on traffic prediction in heterogeneous networks

Traffic-aware base station sleeping in dense cellular networks

TAPS: Traffic-Aware Power Saving Scheme for Clustered Small Cell Base Stations in LTE-A

Traffic-aware sleep mode algorithm for 5G networks

Similar Documents

Energy efficiency in 5G access networks: Small cell densification and high order sectorisation

An energy efficient power control mechanism for base stations in mobile communication systems

TAES: Traffic-aware energy-saving base station sleeping and clustering in cooperative networks

Energy-delay tradeoffs of virtual base stations with a computational-resource-aware energy consumption model

Reducing energy consumption in cellular networks by adjusting transmitted power of base stations

A Traffic-Aware Adaptive Sleep Mode Operation for IEEE 802.16e Based WiMAX

Base station sleeping mechanism based on traffic prediction in heterogeneous networks

Traffic-aware base station sleeping in dense cellular networks

TAPS: Traffic-Aware Power Saving Scheme for Clustered Small Cell Base Stations in LTE-A

Traffic-aware sleep mode algorithm for 5G networks