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7/28/2019 Idcom Research
1/11
02 March 201002 March 2010
School of EngineeringSchool of Engineering
11
Institute for Digital CommunicationsInstitute for Digital Communications
10 Academic Staff10 Academic Staff Mulgrew, Jack, Grant,Mulgrew, Jack, Grant,
McLaughlin, Davies,McLaughlin, Davies, Thompson, Haas,Thompson, Haas,
Laurenson,Laurenson,
Hopgood, ChungHopgood, Chung
2020 Research Fellows/AssociatesResearch Fellows/Associates
3030 PhD studentsPhD students 66 current EPSRC Researchcurrent EPSRC Research
GrantsGrants
10 current Industrial10 current IndustrialResearch ContractsResearch Contracts
1.6 M research grant/contract1.6 M research grant/contract
spend per annumspend per annum 1515 journal papers per annumjournal papers per annum
4040 international Conferenceinternational Conferencepapers per annumpapers per annum
7/28/2019 Idcom Research
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02 March 201002 March 2010
School of EngineeringSchool of Engineering
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Institute for Digital CommunicationsInstitute for Digital Communications
Three major research themes:Three major research themes:
Signal Processing;Signal Processing;
Communications Systems;Communications Systems;
Centre for CommunicationCentre for CommunicationInterface Research.Interface Research.
Electronic digitalElectronic digital
communications systems arecommunications systems are
ubiquitous, driving progress inubiquitous, driving progress inseveral research fields andseveral research fields and
whole economies. IDCOMwhole economies. IDCOM
develops basic theory,develops basic theory,
techniques and algorithms fortechniques and algorithms for
signal processing andsignal processing andcommunications systems.communications systems.
Through theThrough the Centre forCentre for
Communication InterfaceCommunication Interface
ResearchResearch, IDCOM collaborates, IDCOM collaborates
with the financial sector towith the financial sector to
research usability engineeringresearch usability engineering
and the humanand the human--machinemachine
interface.interface.
7/28/2019 Idcom Research
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02 March 201002 March 2010
School of EngineeringSchool of Engineering
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Research Assessment ExerciseResearch Assessment Exercise
2001 description:2001 description:of aof a
very high quality andvery high quality andclearly demonstratedclearly demonstrated
evidence of internationalevidence of international
excellenceexcellence
2008 description: The(research) outputs were
largely internationallyexcellent or world-leadingand were particularlystrong from groups inDigital Communications, ..
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School of EngineeringSchool of Engineering
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Mobile VCE: Core 5Mobile VCE: Core 5
Green RadioGreen Radio
Two Scenarios:Two Scenarios:1.1. Developed WorldDeveloped World
Developed InfrastructureDeveloped Infrastructure Saturated MarketsSaturated Markets
Quality of Service KeyQuality of Service Key
Drive to reduce costsDrive to reduce costs particularly power consumption ofparticularly power consumption ofbase stationsbase stations
2.2. Emerging MarketsEmerging Markets Less Established InfrastructureLess Established Infrastructure
Rapidly expanding MarketsRapidly expanding Markets
Large Geographical AreasLarge Geographical Areas
Often no mains power supplyOften no mains power supply power consumption a major issuepower consumption a major issue
Explore both ScenariosExplore both Scenariosthrough targetedthrough targetedinnovationsinnovations
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School of EngineeringSchool of Engineering
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Spatial Modulation (SM)Spatial Modulation (SM) SM is a radically
different approach.
Antennae are consideredas spatial constellationpoints.
Bits are mapped to signalconstellation point and
to spatial constellationpoint.
The receiver estimatesboth, the transmittedsymbol and the transmit
antenna index. SM results in 3-
dimensional digitalconstellation diagram
7/28/2019 Idcom Research
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02 March 201002 March 2010
School of EngineeringSchool of Engineering
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Visible Light CommunicationsVisible Light Communications
Optical wirelesscommunications using noncoherent LEDs
Cheap and low complexity
Unlimited and freetransmission resources
No electrosmog
Intensity modulation
exploiting high crest factorof OFDM achieving:> 100Mbps
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02 March 201002 March 2010
School of EngineeringSchool of Engineering
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Compressive SensingCompressive Sensing
Compressed sensingCompressed sensing is ais anew rapidly growing fieldnew rapidly growing fieldwhich investigates ways towhich investigates ways tosample signals at ratessample signals at rateslower than thelower than the NyquistNyquist..
Efficient signalEfficient signalreconstruction usingreconstruction usingGreedy PursuitGreedy Pursuitalgorithmsalgorithms
Related ProjectsRelated Projects
Sparse Representations forSparse Representations forSignal Processing andSignal Processing andCoding (EPSRC)Coding (EPSRC)
Compressed Sensing inCompressed Sensing in
Medical Imaging (EPSRC)Medical Imaging (EPSRC) Compressed Sensing inCompressed Sensing in
Synthetic Aperture RadarSynthetic Aperture Radar(MOD)(MOD)
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02 March 201002 March 2010
School of EngineeringSchool of Engineering
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Distributed Sensor Signal ProcessingDistributed Sensor Signal Processing
Biologically Inspired ApproachBiologically Inspired Approach(UKIERI)(UKIERI)
DiffusionDiffusion--based adaptivebased adaptive
learning (EPSRC/DSTL)learning (EPSRC/DSTL)
FiregridFiregrid (IIE/EPSRC/DTI)(IIE/EPSRC/DTI)
Distributed signal processingDistributed signal processing
across distributed networks ofacross distributed networks of
sensorssensors
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School of EngineeringSchool of Engineering
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JRI EPSRC Project:JRI EPSRC Project:
Adaptive Hardware SystemsAdaptive Hardware Systems
EPSRC project involving SIP JRI, plus other researchers fromEPSRC project involving SIP JRI, plus other researchers fromHeriotHeriot--Watt, St Andrews and Queens BelfastWatt, St Andrews and Queens Belfast
Work investigates the design and implementation of complex,Work investigates the design and implementation of complex,timetime--varying complexity algorithms, e.g.varying complexity algorithms, e.g.
Monte Carlo Markov Chain Detection of LIDAR signalsMonte Carlo Markov Chain Detection of LIDAR signals
Sphere Decoding Detection of wireless MIMO signalsSphere Decoding Detection of wireless MIMO signals
The project has three main strands:The project has three main strands:
Algorithm design taking implementation into account (SIP JRI)Algorithm design taking implementation into account (SIP JRI)
Use of HUME language for DSP/FPGA targets (HWU/St And)Use of HUME language for DSP/FPGA targets (HWU/St And) FPGA techniques to handle timeFPGA techniques to handle time--varying algorithms (QUB)varying algorithms (QUB) The project involves three RAs and four PhD students for threeThe project involves three RAs and four PhD students for three
years.years.
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02 March 201002 March 2010
School of EngineeringSchool of Engineering
1010
JRI Project:JRI Project:
MIMO Radar and Sonar SystemsMIMO Radar and Sonar Systems
MultipleMultiple--TransmitterTransmitter
MultipleMultiple--ReceiverReceiver
SystemsSystems
Exploiting target diversityExploiting target diversity
Edinburgh &Edinburgh &HeriotHeriot WattWatt
UniversityUniversity
EPSRC/DSTLEPSRC/DSTL fundedfunded
1 RA, 2 PhD students1 RA, 2 PhD students
Radar & SonarRadar & Sonar
0 100 200 300-20
-15
-10
-5
0
5
10
target orientation angle (degrees)
signal/noisegain(d
B)
MIMO
conventional
7/28/2019 Idcom Research
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02 March 201002 March 2010
School of EngineeringSchool of Engineering
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Centre for Communication InterfaceCentre for Communication Interface
Research (CCIR)Research (CCIR)
CCIR is a Research CentreCCIR is a Research Centre Focus on mass consumer access via direct channelsFocus on mass consumer access via direct channels Expertise in human factor issues in use of technologyExpertise in human factor issues in use of technology Research uses sound scientific / engineering principlesResearch uses sound scientific / engineering principles MultiMulti--disciplinary research teamdisciplinary research team
Dialogue EngineeringDialogue Engineering -- strategic researchstrategic research Voice,Voice, iDTViDTV, Web, mobiles, Web, mobiles integrating channelsintegrating channels Usability EngineeringUsability Engineering -- basic researchbasic research
MeasuringMeasuring the customer experience by experimentthe customer experience by experiment