Joint power allocation and relay selection strategy for 5G network: a step towards green communication
Akshita Abrol (),
Rakesh Kumar Jha (),
Sanjeev Jain () and
Preetam Kumar ()
Additional contact information
Akshita Abrol: Shri Mata Vaishno Devi University
Rakesh Kumar Jha: Shri Mata Vaishno Devi University
Sanjeev Jain: Shri Mata Vaishno Devi University
Preetam Kumar: Indian Institute of Technology, Patna
Telecommunication Systems: Modelling, Analysis, Design and Management, 2018, vol. 68, issue 2, No 6, 215 pages
Abstract:
Abstract Green communication has emerged as the most important concept for the next generation networks. Along with improved data rate and capacity, the upcoming 5G networks aim at improving energy efficiency without compromising on the user experience. In this paper, we have used amplify and forward relays in the heterogeneous network topology consisting of low power and high power nodes. A three layered system model for power optimization is discussed using a relay selection strategy for power optimization with the aim to improve energy efficiency of the network. Further, we have used Hidden Markov Model for training and maintaining of base station, relay and SCA with the aim of probabilistic power allocation to client nodes in order to solve the power optimization problem. We have also used adaptive modulation schemes for lowering the power consumption of the network to meet our goal of green communication for the next generation network.
Keywords: 5G; Energy efficiency; HMM; Green communication; Relay; Small-cell (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11235-017-0385-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:68:y:2018:i:2:d:10.1007_s11235-017-0385-1
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235
DOI: 10.1007/s11235-017-0385-1
Access Statistics for this article
Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan
More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().