EPSRC/VCE Strategic Partnership: Green Radio

Lead Research Organisation: University of Edinburgh
Department Name: Sch of Engineering

Abstract

There is a need on environmental grounds to reduce the energy requirements of radio access networks. From an operator perspective, reduced energy consumption translates directly to the bottom line - lower Operating Expenditure (OPEX). These are the key drivers of the Green Radio programme. Both wide area public networks (traditionally cellular ) and local area private networks (traditionally wireless LAN ) will be considered, recognizing that the structure of a Green Radio Network may differ from today's radio networks. Thus in essence, the specific objective of the Green Radio programme is to investigate and create innovative methods for the reduction of the total power needed to operate a radio access network and to identify appropriate radio architectures which enable such power reduction.
 
Description The Green Radio Project studied how future mobile wireless networks and in particular radio base stations may be made more energy efficient. This project involved significant collaboration with the Universities of Bristol, Sheffield, Southampton along with Kings College London. There was also strong interaction with a number of major industrial companies, through the Mobile Virtual Centre of Excellence (MVCE) sponsoring company. At Edinburgh, there were five major strands of work carried out during the project.The first part of the work studied adaptive sleep mode concepts for wireless base stations. The base station organises its data transmission in order that the transmitter power amplifier can be switched off temporarily when there is low levels of data traffic to be transmitted. Switching off the power amplifier when it is not needed, can achieve an energy reduction estimated at 10-20%.The second item of the work studied how heterogeneous networks of radio base stations, femtocells and multihop relays can save energy consumption compared to today's networks which consist mainly of radio base stations. Mathematical models of radio equipment and power drain in different devices were developed to analyse a variety of different scenarios. The results are complex to interpret, but in some cases energy savings of 60-70% could be achieved by moving to heterogeneous networks.The third topic studied energy efficient packet scheduling schemes for radio base station data transmission. These methods exploit bandwidth expansion techniques for energy saving under low traffic conditions and bandwidth compression techniques for high traffic scenarios. The results suggest modest savings of 5-10% in energy, but these gains are likely to increase in future when more efficient base stations are deployed.The fourth element of the project studied techniques to improve the energy efficiency of video transmission techniques. A novel scheme called random network coding is used to make the data transmission more efficient and to reduce delays in transmission. Results suggest that for high traffic scenarios, energy savings of 25% are possible for users located far away from the base station.Finally, the project has studied how multihop relays may cooperate with one another to improve the efficiency of data transmission in wireless networks. Through joint transmission techniques operating over short distances, energy savings of 20-30% are possible when compared to radio base station only networks.
Exploitation Route Our work has calibrated the energy saving gains from several novel concepts for wireless communications base stations. Our work can be exploited by other wireless communications researchers or by wireless equipment designers.
Sectors Digital/Communication/Information Technologies (including Software)

URL http://www.mobilevce.com
 
Description The Principal Investigator organised two major workshops, called Greenet, at the IEEE VTC Spring 2011 Conference in Budapest, Hungary and and also at the IEEE VTC Spring 2012 Conference in Yokohama, Japan. These workshops enabled dissemination of key findings from the Green Radio project along with discussions with workshop attendees concerning the most important issues for Green Communications. The high profile of the Green Radio project led to repeated invitations to present research findings. The principal investigator gave invited talks at the IEEE Chinacom 2010 conference in Beijing, China and at the IEEE Wicon 2011 conference in Xi'an, China. Prof Peter Grant, who also participated in the project was invited to give a plenary talk about the project at the IEEE Globecom 2010 Conference. The Edinburgh research team were also invited to submit a journal paper to a special issue on Green Communications of the IEEE Wireless Communications Magazine, published in Autumn 2011. Beneficiaries: Academic researchers in the field, particularly those who attended the events described or have read the relevant papers.
First Year Of Impact 2010
Sector Digital/Communication/Information Technologies (including Software)
Impact Types Societal

 
Description DSTL Enabling Contract Funding
Amount £120,000 (GBP)
Organisation Defence Science & Technology Laboratory (DSTL) 
Sector Public
Country United Kingdom
Start 03/2016 
End 02/2018
 
Description EPSRC
Amount £1,041,266 (GBP)
Funding ID EP/J015180/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 06/2012 
End 05/2016
 
Description EPSRC TI3 Call
Amount £853,379 (GBP)
Funding ID EP/L026147/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2015 
End 12/2017
 
Description EU FP7 Marie Curie International Training Network
Amount € 840,000 (EUR)
Funding ID FP7-2013-PEOPLE-ITN 607774 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 01/2014 
End 12/2017
 
Description Industry Funding
Amount £6,000 (GBP)
Funding ID Keysight Gift #4169 
Organisation Keysight Technologies 
Sector Private
Country United States
Start 10/2015 
End 04/2016
 
Description Industry Funding
Amount $30,000 (USD)
Funding ID Gift 3235 
Organisation Agilent Technologies 
Sector Private
Country United States
Start 04/2013 
End 09/2013