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RADIAL BASIS FUNCTION DECISION FEEDBACK EQUALISERASSISTED

BURST-BY-BURST ADAPTIVE MODULATION

M. S. Yee, L. Hanzo

Dept. ofElectr. andComp. Sc., Univ. ofSouthampton, SO171BJ, UK.

Tel: +44-703-593 125,Fax: +44-703-594508

Email:[email protected], http://www-mobile.ecs.sot on.a c.u k

ABSTRACT

The performance of radial basis function decision

feedback equalised burst-by-burst adaptive

modu-lation ispresentedfor transmissionoverdispersive

wideband mobile channels. Radial Basis Function

(RBF)networkbasedchannelequalisershaveaclose

relationship with Bayesianschemes. The RBF

de-cisionfeedback equaliser (RBFDFE) iscapable of

estimating the 'short term bit error rate' of the

received data burst and this estimate is used as

the modem mode switching criterion in order to

switchbetweendierentmodulationschemes. This

schemeis shown to give asignicant improvement

intermsofmeanbit errorrate(BER)andbits per

symbol(BPS)performancecomparedtothatofthe

individual xedmodulation schemes.

1. BACKGROUND

Burst-by-burst Adaptive Quadrature Amplitude

Modula-tion(AQAM) schemes employ ahigher-order modulation

scheme,whenthechannelqualityisfavourable,inorderto

increasethethroughputandconversely,amorerobustlower

ordermodulation schemeis utilized toimprovethe mean

BERperformance, whenthe channel envelopeencounters

adeepfade. Theprinciples of AQAM schemewere

sum-marizedforexamplebyWong[1 ]et al. In thispaper, we

presentanovel adaptivemodemschemefortransmissions

over wideband mobile channels, which employs a Radial

BasisFunction (RBF)based channel equaliser with

deci-sionfeedback,inordertomitigatetheeectsofthe

disper-sive widebandchannel. Chen, McLaughlin, Mulgrewand

Grant[2 ]proposedarangeofso-calledRBFnetworkbased

channelequalisers, whichare potentially capableof

error-freely detectingthe received signalling symbols even in a

scenario,wherethephasorsbecomelinearlynon-separable

duetothe inter-symbol interference (ISI)inicted bythe

channel. Inthissituationconventionalequaliserswouldbe

unabletoremovetheeectsofISIandhencewouldexhibit

aresidualBER.Additionally,Chenetal.[3]introduced

de-cisionfeedbackintheirRBF-basedequaliser,inorderto

re-duceitscomputationalcomplexity.TheRBFdecision

feed-back equaliser (RBFDFE) wasthenextended to

higher-orderQAM schemes, which wereinvestigated in[5 ]. The

Thenancialsupportofthefollowingorganisationsis

grate-fullyacknowledged: MotorolaECID,Swindon, UK;European

Community, Brussels,Belgium; Engineering and Physical

Sci-encesResearchCouncil,Swindon,UK;MobileVirtualCentreof

Excellence,UK.

reader is referred to the above references forbackground

reading.

2. SYSTEMOVERVIEW

ThestructureofthejointAQAMandRBFnetworkbased

equalisationschemeisportrayedinFigure1. Thereceiver

rstextractsthemodulationmodeusedinitsreceiveddata

burst. Atthesametimethecorruptedreceiveddataburst

is equalised, the BER of the transmitted burst is

calcu-latedattheoutputof theRBFDFEanditisusedasthe

AQAMmodemmodeswitchingcriterioninorderto

deter-minethemodemmodetobeusedduringthenext

transmis-sionburst. Thisregimeassumes aTimeDivision Duplex

(TDD)arrangement,wheretheuplink(UL) channel

qual-ityisestimatedonthebasisoftheDownlink(DL)channel

quality.

Modulation

Mode

Switch

Switching

Threshold

Look-up Table

Modulation

Level

Estimator

Modulation

Mode of Data

Burst

Short Term

Probability of

Bit Error of the

Data Burst

Equalised

Data

DFE

RBF

Data

Transmitter

Noise

Channel

Receiver

Figure1: Systemschematicof thejoint adaptive

modula-tionandRBFequaliserscheme

2.1. Switching Criterion

TheM-QAMRBFequaliserof[5]consistsofMRBF

net-worksthatprovidetheconditionalprobabilitydensity

func-tionofeachlegitimateQAMsymbol,Ii;i=1;:::;M,ifthe

channelimpulseresponse(CIR)isknown. Furthermore,the

centers oftheRBFnetworkare assignedthevaluesofthe

channelstates. TheoutputsoftheRBFnetworksaregiven

by[2 ,3,5]:

i

(v k

) =

ns X

j=1 w

j '

j (v

k );

'j(vk) = exp( kvk cjk

2 =2

2 );

i=1;:::;M (1)

where is the RBF width, wj are the RBF weights, cj

are the RBFcenters andns isthe numberof the hidden

(2)

probability ofeachlegitimate M-QAMsymbol, &i(k);i=

1;:::; M can be evaluated from the conditional density

function,iofEquation1asfollows:

&i(k) = P(I

k

=Iijv k

)

=

i (v

k )P(I

k

=I

i )

P(vk)

: (2)

Therefore{fromthea-posterioriprobabilitiesofsymbols{

wecanobtainthea-posterioriprobabilitiesofthebits

rep-resentingthe QAMsymbols. The a-posterioriprobability

oftheithbitoftheQAMsymbolsbeing0,forexample,is

thesumofthea-posterioriprobabilitiesofthesymbolswith

theirithbitbeing0.Therefore,theprobabilityofbiterror

associatedwiththedecisionthattheithbithasthevalue

(either0or1)exhibitingthemaximuma-posteriori

proba-bility,~& i bit

(k),isgivenbyP i b

(k)=1 &~ i bit

(k). Giventhe

probabilityofbiterror,P i b

(k),fortheithbitofanAQAM

symbol,theaverage probabilityofbiterrorfor adetected

AQAMsymbolatsignallinginstantkisgivenby

P b

(k)= P

BPS-1 i=0

P i b

(k)

BPS

; (3)

whereBPSisthenumberofbitsperAQAMsymboland

theoverallprobabilityofbiterrorforthedetectorisgiven

byP bit

=EfP

b (k)g.

For our joint AQAMand RBF DFE scheme, we are

unable to employ the true average probability of bit

er-ror P bit

as the modemmodeswitching criterion, since a

promptburst-by-burstbasedmodemmodeselectionis

re-quired. Henceweinvokedtheestimatedshort term

prob-ability of bit error or BER, P

bit,short-term

, which was

estimatedby averaging P b

(k) of Equation 3 over a single

transmissionburstaccordingto:

P

bit,short-term =

P F n=1

Pb(n)

F

; (4)

whereFisthenumberofAQAMsymbolsperframe. Thus,

wecouldestimatethechannelqualityonaframe-by-frame

basis,basedontheestimatedP

bit,short-term value.

The estimated short-term BER perceived by the

re-ceiveriscomparedtoasetofswitchingBERvalues

corre-spondingto thevariouslegitimatemodulationmodesand

themodulationmodeisselectedfor thenexttransmission

burstassumingreciprocityoftheuplinkanddownlink. This

impliesthatthesimilarityoftheshort-termBERof

consec-utiveULandDLdataburstscanbeexploited,inorderto

setthenextmodulationmode. Themodulationmodes

uti-lizedinoursystemareBPSK,4-QAM,16-QAM,64-QAM

andnotransmission(NOTX).

Therefore,themodulationmodeisswitchedaccording

totheestimatedshort-termBER,P

bit,short-term ,as

fol-lows:

Mod.

Mode =

8 > > > > > <

> > > > > :

NOTX ifP

bit,short-term

P

M 2

BPSK ifP

M 2

>P

bit,short-term

P

M 4

4QAM ifP

M 4

>P

bit,short-term

P

M 16

16QAM ifP

M 16

>P

bit,short-term

P

M 64

64QAM ifP

M 64

>P

bit,short-term ,

(5)

whereP M i

;i=2;4;16;64aretheswitchingBERthresholds

correspondingtothevariousM-QAMmodes.

3. SIMULATIONRESULTS

3.1. Assumptions

In our simulations the following assumptions were

stipu-lated:

1. Perfectchannelimpulseresponseestimationor

chan-nel state estimation was used at the receiver. The

RBFs'centerswere assignedthevaluesofthe

chan-nelstates[5 ].

2. The channel impulse response is time-invariant for

the duration of the transmission burst, but varies

fromburstto burst,whichcorrespondstoassuming

thatthechannelisslowlyvarying.

3. Weassumedfurthermorethatthereceiverhad

per-fect,ieerror-freeknowledgeofthemodulationmode

usedinitsreceivedtransmissionburst.

4. The RBF DFE used in the system neglected error

propagationduetoerroneousdecisionfeedback,which

inpracticaltermsimpliedanegligiblylowprobability

ofsymbolerrors,hencefeedingthecorrectsymbolto

theRBFsubsetcenterselectionprocess[5].

3.2. Simulation Model and BER-motivated Mode

Switching

Inourexperimentspseudo-randomsymbolswere

transmit-tedinaxed-lengthburst. Thesimulationparametersare

listedinTable1,notingthatweanalysedthejointAQAM

and RBF equaliser scheme over a two-path equal-weight

Rayleighfadingchannel. Thewidebandfadingchannelwas

frame-invariant.TheRBFDFEusedinoursimulationshad

afeedforwardorderofm=2,feedbackorderofn=1and

decisiondelayof=1. Wewillanalysetheperformanceof

thejointAQAM/RBF DFEfor two systems, ahigher

in-tegrityscheme,havingatargetBERof10 4

,whichcanbe

renderederror-freebyerrorcorrectioncodingandhencewe

referredtothisarrangementasadatatransmissionscheme;

thelowerintegrityschemewas designedformaintaininga

BERof10 2

,whichisadequateforspeechtransmission

es-peciallyinconjunctionwithFEC.ThetargetBPSvaluesof

theseschemeswere3and4.5bitspersymbol,respectively.

No.ofdatasymbolsperburst 144

No.oftrainingsymbolsperburst 27

TransmissionFrequency 1.9GHz

TransmissionRate 2.6MBd

VehicularSpeed 30mph

NormalisedDopplerFrequency 3:310

5

Channelweights 0:707+0:707z

1

Table1: Simulationparameters

The BER switching thresholds corresponding to

M-QAM,P

M i

;i=2;4;16;64,can beobtainedbyestimating

theBERdegradation/improvement,whenthemodulation

mode is switched from M-QAM to a higher/lower

num-ber of modulationlevels. In this experiment, we obtain

thisBER degradation/improvement measurefromthe

es-timatedshort-termBER ofeverymodulationmodeused,

underthesameinstantaneouschannelconditions. Figure2

(3)

10

-16

10

-15

10

-14

10

-13

10

-12

10

-11

10

-10

10

-9

10

-8

10

-7

10

-6

10

-5

10

-4

10

-3

10

-2

10

-1

10

0

Estimated Short-term BER of 4 QAM

10

-5

2

5

10

-4

2

5

10

-3

2

5

10

-2

2

5

10

-1

2

5

10

0

Estimated

Short-term

BER

.

.

..

.

.

.

....

.

.

...

.

..

..

...

...

...

..

...

...

.

.

...

.

...

..

.

..

.

.

.

.

.

.

.

.

.

.

..

.

.

.

.

.

.

..

.

.

..

..

.

.

.

.

.

..

.

.

.

.

.

.

.

..

.

.

.

...

.

.

.

.

.

.

.

.

.

...

...

..

.

.

.

..

.

.

.

.

.

.

.

.

.

64 QAM

16 QAM

.

BPSK

64 QAM

16 QAM

4 QAM

BPSK

NO TX

Target BER bound

P

64

4

P

16

4

P

4

4

P

2

4

Figure2:Theestimatedshort-termBERforallthepossible

modulationmodesthatcanbeinvoked,assumingthatthe

currentmodeis4-QAM{versustheestimatedshort-term

BERof 4-QAMfor thetwo-pathRayleighfading channel

ofTable1.

modulationmodesthatcanbeinvoked,assumingthatthe

current modeis 4-QAM, versus the estimated short-term

BERof4-QAMunderthesameinstantaneouschannel

con-ditions. The short-term BERs of the modulation modes

areobtainedonaburst-by-burstbasisfromEquation4. In

ordertoobtainthetargetBERof10 2

,Figure2

demon-strateshoweachswitchingBERthresholdP 4 i

isobtained.

Forexample, if the estimated short-term BERof the

re-ceived4QAMtransmissionburstisbelowP 4 16

=10 12

,the

modulationmodecanbeswitchedto16-QAMforthenext

transmission burst, since theshort-term BERof this

16-QAMtransmissionburstisexpectedtobebelowthetarget

BERof10

2

.The4QAMerrorprobabilityofP 4 16

=10 12

used inthisexampleforswitchingto16QAMappears

ex-tremely conservative, but it is justied by the large

un-certaintyassociated with the estimation of the BER due

to the Rayleigh-fadedimpulse response taps. This

man-ifests itself also in the rather spread nature of the BER

estimatesinFigure2. Afeasible technique formitigating

thisphenomenonisemployingthefade-trackingschemeof

Figure11.2inReference[6 ].

UsingthemethoddemonstratedbyFigure2,the

switch-ing BER thresholdswere obtained for thetarget BERof

10 2

and 10 4

,as listed inTable 2 and Table 3,

respec-tively in the context of all possible combinations of the

modetransitions. Notethat theextremelylowvaluesfor

P 4 16

=110

45

andP

16 64

=110

50

inTable3were

ob-tainedbyextrapolatingthecurvessimilartoFigure2but

for16-QAMand64-QAM,respectively,inordertoachieve

thetargetBERof10 4

.

3.3. RBF/AQAMPerformanceComparisonwith

ConstituentFixedModulationSchemes

The performance of the joint AQAM/RBFDFE is

com-paredwiththatoftheconstituentxedmodulationschemes

in Figure 3. The BER and BPS performance was

eval-uated for two dierentadaptive modulation schemes. In

the rstscheme, the transmitteralwaystransmitteddata

withouttransmissionblockingordisabling. Bycontrast,in

P M 2 P M 4 P M 16 P M 64

NOTX 910

3

510

5

0:0 0:0

BPSK 110

2

510

5

0:0 0:0

4-QAM 610

2

110

2

110

12 0:0

16-QAM 210

1

110

1

110

2

110

8

64-QAM 310

1

210

1

910

2

110

2

Table 2: The switching BERthresholds P M i

of the joint

adaptivemodulationandRBFDFE schemefor thetarget

BERof 10

2

overthetwo-pathRayleighfadingchannelof

Table1. P M 2 P M 4 P M 16 P M 64

NOTX 910

5

110

15

0:0 0:0

BPSK 110

4

110

15

0:0 0:0

4QAM 1:510

2

110

4

110

45

0:0

16QAM 1:210

1

510

2

110

4

110

50

64QAM 2:210

1

1:510 1

310

2

110

4

Table 3: The switching BERthresholds P M i

of the joint

adaptivemodulationandRBFDFE schemefor thetarget

BERof 10

4

overthetwo-pathRayleighfadingchannelof

Table1.

the second scheme, dummydata was transmitted,

when-everthe estimatedshort-termBERofthereceivedBPSK

transmissionburstwashigherthanthetargetBER,a

sce-nario, which wereferedtoastransmission blocking. The

transmissionofdummydataduringblockingallowedusto

keepmonitoringthe BER,inordertodeterminewhento

commencetransmissionandinwhichmodemmode.

WewillcommencebyanalysingFigure3(a),wherethe

joint AQAM/RBF DFE scheme was designed for speech

transmision, i.e. for a BER of 10 2

. For the adaptive

scheme, which did notincorporate transmission blocking,

the performancewith adaptive modulation was better or

equivalenttotheperformanceofBPSKintermsofthemean

BERandmeanBPSfortheSNRrangebetween0dBand

8dB. Atthe channelSNRof 8dB, eventhough themean

BERperformanceisequivalentfortheBPSKmodeofthe

adaptiveschemeandforthexed-modeBPSKscheme,the

meanBPSfortheadaptiveschemeimprovedbyafactorof

1.35,resultinginameanBPSof1.35. IntheSNRrangeof

8dBto15dB,theadaptiveschemeoutperformedthe4QAM

scheme in terms of its mean BER performance. At the

channelSNRof15dB,themeanBERsofbothschemesare

equivalent,althoughthemeanBPSoftheadaptivescheme

is approximately 2.6, resulting in a substantial

improve-ment,whencomparedto4QAM.Theadaptiveschemethat

utilizedtransmissionblockingachievedameanBERbelow

10 2

.AstheSNRimproved,theperformanceofthe

adap-tiveschemesbothwithandwithouttransmissionblocking

converged,sincetheprobabilityofencounteringhigh

short-termBERsreduced. ThemeanBERandmeanBPS

per-formance of both adaptive schemes converged to that of

64QAMfor highSNRs, where 64QAMbecamethe

domi-nantmodulationmode.

Similartrendswereobservedfordata-quality

transmis-sion,i.e. for the10 4

(4)

However,wenotethatfortheSNRrangebetween8dBto

17dB,themeanBERoftheadaptiveschemewithout

trans-missionblockingwasbetter,thanthatofBPSK.This

phe-nomenonwasalsoobservedinthewidebandjointAQAM

andDFEschemeof[1 ],whichcanbeexplainedasfollows.

ThemeanBERofthesystemistheratioofthetotal

num-ber of biterrors tothe totalnumberof bits transmitted.

ThemeanBERwill decreasewithadecreasingnumberof

biterrorsandwith anincreasingnumberofthe totalbits

transmittedinthedataburst. Foraxednumberof

sym-bolstransmitted,thenumberoftotalbitstransmittedina

databurstisconstantfortheBPSKscheme,whileforthe

adaptiveschemethetotalnumberofbitstransmittedina

databurstincreased,whenahigher-ordermodulationmode

wasused. However,whenahigher-ordermodulationmode

wasusedfortransmission,theprobabilityoferroneousbits

increased. Ifthe relativebits per symbolincrementupon

usingAQAMishigherthantherelativebiterrorratio

in-crement,thenthemeanBERofthe adaptiveschemewill

beimproved.ConsequentlytheadaptivemeanBERcanbe

lowerthanthatofBPSK.

Insummary,the joint adaptivemodulation and RBF

DFEschemehasitsadvantages,whencomparedtothe

indi-vidualxedmodulationschemesintermsofmeanBERand

meanBPSperformance.Notehoweverthatthetarget

per-formanceforspeechanddatatransmissionintermsof the

meanBPS(4.5and3,respectively)canonlybeachievedfor

theadaptiveschemewithandwithouttransmission

block-ing, ifthe channel SNR isabove about 22dB. Thus, the

advantageof using anadaptiveschemewith transmission

blocking isthatthe performanceof the joint AQAM and

RBFDFEschemecanbe'tuned'toacertainrequiredmean

BERperformance. Furthermore,duetothemodemmode

switchingtheassociatedbiterrorsexhibitalessburstyerror

distributionthanthatofxedmodems,whichrendersthe

AQAMschememoreamenabletochannelcoding,resulting

inhigherchannelcodinggains. However,thedisadvantage

is that the utilization of transmission blocking results in

transmissionlatency-anissuewhichwasaddressedin

ref-erence[7 ].

3.4. ComparisonwithUpperBound Performance

In this section, wecompare the performance of the joint

AQAM/RBFDFE withitsupperboundperformanceand

derivetheBERswitchingthresholds, P M i

;i =2;4;16;64.

Inderivingtheupperboundperformanceofthejoint

adap-tive modulation and RBF based equalisation scheme, in

addition tothe assumptionslistedin Section3.1, wealso

assumethattheshort-termBERestimateP

bit,short-term

isknownpriortotransmissionforallthemodulationmodes

used inthe system. We also assumethat given the

esti-matedP

bit,short-term

foraparticularmodulationmode,

thetransmitterhasperfectknowledgeofthecorresponding

short-termprobabilityofbiterrorfortheothermodulation

modes usedinthe systemunder thesame channel

condi-tions.

Inourexperimentspseudo-randomsymbolswere

trans-mitted in a xed-length burst for all modulation modes

overtheframe-invariantwidebandchannel. Thereceiver

re-ceivedeachdata bursthavingdierentmodulation modes

and equalised each oneof them independently. The

esti-matedshort-termBERforeachmodulationmodewas

ob-0

5

10

15

20

25

30

35

40

SNR (dB)

10

-7

10

-6

10

-5

10

-4

10

-3

10

-2

10

-1

10

0

BER

0

5

10

15

20

25

30

35

40

0

1

2

3

4

5

6

BPS

64 QAM BER

16 QAM BER

4 QAM BER

BPSK BER

without TX blocking

TX blocking

- BER :

AQAM RBF DFE

without TX blocking

TX blocking

- BPS :

AQAM RBF DFE

(a)SpeechTransmission

0

5

10

15

20

25

30

35

40

SNR (dB)

10

-7

10

-6

10

-5

10

-4

10

-3

10

-2

10

-1

10

0

BER

0

5

10

15

20

25

30

35

40

0

1

2

3

4

5

6

BPS

64 QAM BER

16 QAM BER

4 QAM BER

BPSK BER

without TX blocking

TX blocking

- BER :

AQAM RBF DFE

without TX blocking

TX blocking

- BPS :

AQAM RBF DFE

(b)DataTransmission

Figure 3: The BER and BPS performance of the joint

AQAM/RBFDFE,showingalsotheBERperformanceof

theconstituentxedmodulationschemes,namelyBPSK,

4-QAM,16-QAMand64-QAM,overthetwo-path

Rayleigh-fadingchannelofTable1.Themodemmodeswitching

lev-elsusedforthe jointAQAM/RBFDFE schemearelisted

inTable2.

tained. Thehighest-ordermodulationmode,M

that

pro-videdashort-termBERP M

bit,short-term

,whichwasbelow

thetargetBERP

bit,target ,when:

M

=max

(

M=2;4;16;64;

suchthatP M

bit,short-term

P

bit,target g

;

(6)

waschosentobetheactualmodulationmodethatwasused

bythetransmitteranditsreceivedequalisedframewasused

fortheactualBERcalculationofthesystem.

Figure 4(a) shows the BERand BPS performance of

the joint AQAM/RBF DFE scheme designed for

speech-transmissionwiththeswitchingthresholdsgiveninTable2

{whenusingthecurrentreceivedframe'sBERestimate,in

(5)

transmis-0

5

10

15

20

25

30

35

40

SNR (dB)

10

-7

10

-6

10

-5

10

-4

10

-3

10

-2

10

-1

10

0

BER

0

5

10

15

20

25

30

35

40

0

1

2

3

4

5

6

BPS

without TX blocking

TX blocking

without TX blocking - upper bound

TX blocking - upper bound

BER :

without TX blocking

TX blocking

without TX blocking - upper bound

TX blocking - upper bound

BPS :

(a)SpeechTransmission

0

5

10

15

20

25

30

35

40

SNR (dB)

10

-7

10

-6

10

-5

10

-4

10

-3

10

-2

10

-1

10

0

BER

0

5

10

15

20

25

30

35

40

0

1

2

3

4

5

6

BPS

without TX blocking

TX blocking

without TX blocking - upper bound

TX blocking - upper bound

BER :

without TX blocking

TX blocking

without TX blocking - upper bound

TX blocking - upper bound

BPS :

(b)DataTransmission

Figure 4: The BER and BPS performance of the joint

AQAM/RBFDFEschemeusing the current BER

es-timate in order toestimate thenext burst's

trans-mission mode, and its upperbound performance, using

theparameterslistedinTable1. Themodemmode

switch-inglevelsusedfor thejointAQAM/RBFDFEschemeare

listed inTable 2 andTable 3 for speech-transmission and

data-transmission,respectively.

sion burst{ in contrast toitsupperbound performance.

Theperformancecomparisonshowsthatthereislittle

per-formance degradation, when the current received burst's

short-termBERestimateisusedtocontrolthemodulation

modeof thenext transmissionburstbasedonthe

switch-ingparametersofTable2fortheAQAMschemedesigned

for speech transmission. Since the channel of Table 1 is

slowlyvarying,the performanceof thejointAQAM/RBF

DFEschemebasedontheswitchingparametersofTable2

iscomparabletoitsupperboundperformance.

Figure4(b)showstheBERandBPSperformanceofthe

jointAQAM/RBFDFEschemedesignedfor

data-transmis-sionwiththeswitchingthresholdsgiveninTable3in

com-parison to its upper bound performance. The

degrada-tion withrespecttothe upperbound performanceof the

AQAM/RBFDFE schemedesignedfor data-transmission

is more signicant compared to the adaptive scheme

de-signedfor speech-transmission,asseeninFigure4(a)and

Figure4(b). NotethatforthelowBERswitching

thresh-oldsofP 4 16

(=110 45

)andP 16 64

(=110

50

)inTable3,

whichwereusedintheadaptiveschemeforthetargetBER

of 10 4

,the RBFDFE isunable toprovidea high

accu-racyBERestimate. AstheSNRimproves, thefrequency

of encountering the switchingthresholds P 4 16

and P

16 64

in-creasesandthustheperformancedegradationcomparedto

theupperboundincreases.

4. CONCLUSIONS

TheRBFDFEwasshowntoprovidean'on-line'BER

es-timationofthereceiveddataburst,whichwasusedasthe

modemmodeswitchingcriterionfortheadaptive

modula-tionscheme. Oursimulationresults showedthatthe

pro-posedRBF DFE-assisted burst-by-burstadaptivemodem

outperformed the individualconstituentxed modulation

modes interms of meanBERand BPS performance. A

methodtoobtaintheswitchingBERthresholdsofthejoint

AQAM/RBFDFEschemewasproposedandwasshownto

providelittleperformancedegradationincomparisontothe

associatedupperboundperformance.

5. REFERENCES

[1] C. H. Wong and L. Hanzo, \Channel Capacity

Up-perboundofaWidebandBurst-by-burstAdaptive

Mo-dem,"Proc.ofVTC'99,Houston,USA,pp.1851{1855,

May1999.

[2] S.Chen, B.Mulgrew, andP.M.Grant,\A clustering

techniquefor digitalcommunicationschannel

equaliza-tionusingradialbasisfunctionnetworks,"IEEE

Trans-actionsonNeuralNetworks,vol.4,no.2,pp.570{579,

July1993.

[3] S.ChenandS.McLaughlinandB.Mulgrew,

\Complex-valuedradial basisfunctionnetwork,PartII:

Applica-tion to digital communications channel equalisation,"

EURASIP SignalProcessing, vol. 36, no. 2, pp. 175{

188,March1994.

[4] S. Chen and S. McLaughlin and B. Mulgrew and

P. M. Grant, \Adaptive Bayesian Decision

Feed-backEqualizerforDispersiveMobileRadioChannels,"

IEEETransactionsonCommunications,vol.43, no.5,

pp.1937{1945,May1995.

[5] M.S.YeeandL.Hanzo,\Multi-levelradialbasis

func-tion network based equalisers for rayleigh channels",

Proc. of VTC'99, Houston, USA, pp. 707{711, May

1999.

[6] W.T.WebbandL.Hanzo, \ModernQuadrature

Am-plitude Modulation: Principles and Applications for

FixedandWirelessChannels,"London: IEEE{

John-Wiley,1994

[7] J.M.Torrance,L.Hanzo: LatencyandNetworking

As-pectsof AdaptiveModemsoverSlowIndoorsRayleigh

FadingChannels,IEEETr.onVeh.Techn.,July1999,

References

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