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    Synchronization and Cell SearchSynchronization and Cell SearchSeminar LTE: Der Mobilfunk der Zukunft Seminar LTE: Der Mobilfunk der Zukunft

    Fabian SchuhUniversity Erlangen-Nrnberg

    Chair of Mobile Communications

    20. January 2010

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    Outline Outline

    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search1/401/40

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    MotivationMotivation

    Outline Outline

    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search2/402/40

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    MotivationMotivation

    MotivationMotivation

    Why synchronizeSynchronous frame structure in time domainOFDM systems are sensitive to time and frequencysynchronization errors

    What else to doFind the strongest signalIdentify the cell correctly

    The full synchronization and cell identication (cell search)procedure needs to be done as fast as possible.

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search3/403/40

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    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences

    Outline Outline

    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search5/405/40

    fff ff f

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    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Denition of ZC sequencesDenition of ZC sequences

    Denition of Zadoff Chu sequences Denition of Zadoff Chu sequences

    Denition

    ZC N,M [k] =exp j Mk

    2

    N for N integer even

    exp j Mk (k +1)N for N integer odd

    For k = 0 , 1, 2, . . . , N 1 and root index M relative prime to N (No common devider, i.e. M = N 1). M denotes the sequencefamily.Zadoff-Chu sequences are also known as generalized chirp-likesequences.

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search6/406/40

    Th f Z d ff ChTh f Z d ff Ch P i f ZCP i f ZC

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    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Properties of ZC sequencesProperties of ZC sequences

    Properties of ZC sequences Properties of ZC sequences

    Property 1 A ZC has a constant amplitude. ( limited PAR)Property 2 ZC sequences of any length have ideal cyclicAuto-Correlation.

    kk ( ) =

    N ZC 1

    n =0a k (n )ak (n + ) = ( )

    Property 3 Two Sequences with M 1 and M 2 have constant cyclicCross-Correlation if M 1 is relative prime to M 2. This

    value (i.e. 1 N ZC ) achieves the minimum

    Cross-Correlation for any two sequences with idealAuto-Correlation.

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search7/407/40

    Th f Z d ff ChTheor of Zadoff Ch seq ences E lE ample seq ence

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    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Example sequenceExample sequence

    Example sequence Example sequence

    0 10 20 30 40 50 60 1 , 5

    1

    0 , 5

    0

    0 , 5

    1

    1 , 5

    L = 63 , M = 1

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search8/408/40

    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Example sequenceExample sequence

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    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Example sequenceExample sequence

    Example sequence Example sequence

    0 10 20 30 40 50 60 1 , 5

    1

    0 , 5

    0

    0 , 5

    1

    1 , 5

    L = 63 , M = 1

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search8/408/40

    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Auto-CorrelationAuto-Correlation

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    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Auto-CorrelationAuto-Correlation

    Auto-Correlation M = 29 (time offset)Auto-Correlation M = 29 (time offset)

    0 10 20 30 40 50 60

    1

    0

    1

    L = 63 , M = 29

    S e q u e n c e

    Offset: 0

    60 40 20 0 20 40 60

    0

    0 , 5

    1

    L = 63 , M = 29

    A u t o - C o r r e

    l a t i o n Offset: 0

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search9/409/40

    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Auto-CorrelationAuto-Correlation

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    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Auto CorrelationAuto Correlation

    Auto-Correlation M = 29 (time offset)Auto-Correlation M = 29 (time offset)

    0 10 20 30 40 50 60

    1

    0

    1

    L = 63 , M = 29

    S e q u e n c e

    Offset: 0 . 5

    60 40 20 0 20 40 60

    0

    0 , 5

    1

    L = 63 , M = 29

    A u t o - C o r r e

    l a t i o n Offset: 0 . 5

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search9/409/40

    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Fourier DualityFourier Duality

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    Theory of Zadoff Chu sequencesTheory of Zadoff Chu sequences Fourier DualityFourier Duality

    Fourier Duality Fourier Duality

    Fourier DualityThe DFT of a ZC sequence xu [k] is a weigthed cyclicly-shifted ZC sequence X w [k] such that

    w =

    1u mod N ZC .

    So, . . .ZF sequences can be generated directly in frequency domainwithout any DFT operation.

    A synchronization by correlation may be done in frequencydomain and/or in time domain.

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search10/4010/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal

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    y y gy y g

    Outline Outline

    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search11/4011/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal IntroductionIntroduction

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    y y g

    IntroductionIntroduction

    Time & Frequency Synchronization in LTETo be synchronized

    1 OFDM symbol timing2 Coarse carrier frequency offset3 Fine carrier frequency offset4 LTE frame begin (BOF)

    1 and 2 will be estimated in frequency domain using the PSS.

    3 and 4 are retrieved from time domain using both PSS and SSS.

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search12/4012/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal Primary Synchronization SignalPrimary Synchronization Signal

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    Primary Synchronization Signal Primary Synchronization Signal

    Zadoff Chu Sequences in LTEZC used for Primary Synchronization Signal (PSS) SequencesLength: 63 (no DC)ZC-Roots: M = {29, 34, 25}PSS Sequences mapped to subcarriers

    ...... ......

    ......

    DC

    c 31c 30c 29c 28c 27c 26c 3c 2c 1c 0 c32 c33 c34 c35 c36 c59 c60 c612 c62

    -1-2-3-4-5 0 1 2 3 4 5 59 60-61 -60 -28-29-30-31-32 28 29 30 31 32

    128 Subcarriers

    ZC-Sequence:

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search13/4013/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal Correlation resultsCorrelation results

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    Auto-Correlation M = 29Auto-Correlation M = 29

    60 40 20 0 20 40 60

    0

    0 , 5

    1

    L = 63 , M = 29

    A u t o - C

    o r r e l a t i o n

    60 40 20 0 20 40 60

    0

    0 , 5

    1

    L = 63 , M = 29

    A u t o - C

    o r r e

    l a t i o

    n w

    i t h o u t D C

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search14/4014/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal Time shift and Frequency offsetTime shift and Frequency offset

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    Sensitivity CCF against frequency offset I Sensitivity CCF against frequency offset I M = 29 , N ZC = 63

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search15/4015/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal Time shift and Frequency offsetTime shift and Frequency offset

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    Sensitivity CCF against frequency offset II Sensitivity CCF against frequency offset II M 1 = 25, M 2 = 29, N ZC = 63

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search16/4016/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal Time & Frequency Synchronization procedureTime & Frequency Synchronization procedure

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    Synchronization procedure I Synchronization procedure I

    Synchronization methods

    PSS Maximum Likelihood correlation based estimationCyclic prex correlation based tracking loop

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search17/4017/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal Time & Frequency Synchronization procedureTime & Frequency Synchronization procedure

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    Synchronization procedure II Synchronization procedure II

    A maximum likelihood (ML) detector nds the timing offset mM that corresponds to the maximum correlation:

    mM = arg maxm

    N 1

    i=0

    Y [i + m ]S M [i]2

    i : time indexm : timing offsetN : PSS time domain signal length

    Y [i]: received signalS M [i]: PSS signal with root M

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search18/4018/40

    PSS: Primary Synchronization SignalPSS: Primary Synchronization Signal Time & Frequency Synchronization procedureTime & Frequency Synchronization procedure

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    Synchronization procedure III Synchronization procedure III

    A cyclic prex correlation based tracking loop autocorrelates thereceived signal giving a match on the cyclic prex position.The maximum likelihood estimates the timing offset.

    mM = arg maxm {2| (m )| (m )}

    (m ) =m + L +1

    k = m

    r (k)r(k + N ) (Correlation)

    (m

    ) =

    m + L +1

    k = m |r(k

    )|2

    + |r(k

    + N

    )|2

    (Energy)

    The cyclic prex based method remains uneffected by the presenceof high CFO.

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search19/4019/40

    SSS: Secondary Synchronization SignalSSS: Secondary Synchronization Signal

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    Outline Outline

    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search20/4020/40

    SSS: Secondary Synchronization SignalSSS: Secondary Synchronization Signal IntroductionIntroduction

    d

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    IntroductionIntroduction

    Sector and Cell SearchWhen a terminal powers on in a cellular system, it needs to perform cell search to acquire its frequency reference,frame timing, and the fast Fourier transform (FFT)symbol timing with the (best) cell, and also to identify the cell-ID .

    Cell Area

    Omni Cell

    Cell Area

    Site (3 sectors)

    3 sector Site

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search21/4021/40

    SSS: Secondary Synchronization SignalSSS: Secondary Synchronization Signal Individual Cell InformationIndividual Cell Information

    d d l ll fI di id l C ll I f i

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    Individual Cell InformationIndividual Cell Information

    sector-ID N s Each sector can be identied using the PSS. Onephysical cell consists of three sectors.

    group-ID N g A numerical classication. 168 are dened by 3GPP.cell-ID N c Identication of the best possible serving cell.

    Required for extracting the reference signal. Isdened as N c = 3N g + N s and thus depends onsector-ID and group-ID.

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search22/4022/40

    SSS: Secondary Synchronization SignalSSS: Secondary Synchronization Signal Secondary Synchronization SignalSecondary Synchronization Signal

    S d S h i i Si lIS d S h i i Si l I

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    Secondary Synchronization Signal I Secondary Synchronization Signal I

    Interleaved PN SequencesBased on two maximum-length sequences (pseudo number)Generated by linear feedback shift registerTwo sequences s0 and s1 with length 31Both sequences depend on m0 and m1m 0 and m1 identify the group-ID N g (from 0 to 167)Interleaved in frequency domain

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search23/4023/40

    SSS: Secondary Synchronization SignalSSS: Secondary Synchronization Signal Secondary Synchronization SignalSecondary Synchronization Signal

    S d S h i i Si lIIS d S h i ti Si l II

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    Secondary Synchronization Signal II Secondary Synchronization Signal II Interleaving:

    ...

    ...

    ...

    ...

    s 0

    ( n

    )

    s 1 (

    n )

    I n t e r l e a v e

    d P N

    s e q u e n c e

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search24/4024/40

    SSS: Secondary Synchronization SignalSSS: Secondary Synchronization Signal Secondary Synchronization SignalSecondary Synchronization Signal

    S d S h i ti Si lIIIS d S h i ti Sig l III

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    Secondary Synchronization Signal III Secondary Synchronization Signal III

    First scramblingInterleaved PN sequences are scrambledBase scramble code: c[n ]Construct c0[n ] and c1[n ] as cyclic shifted versions of c[n ]Shift value depends on the sector-ID N s

    Second scramblingConstruct zm 01 [n ] and z

    m 11 [n ] (cyclic shifts of c[n ])

    Shifts depend on group-ID N gScrambling only in odd entries of the S-SCH to enabledetection of beginning of radio frame

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search25/4025/40

    SSS: Secondary Synchronization SignalSSS: Secondary Synchronization Signal Secondary Synchronization SignalSecondary Synchronization Signal

    S d S h i ti Sig lIVSecondary Synchronization Signal IV

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    Secondary Synchronization Signal IV Secondary Synchronization Signal IV

    Secondary Synchronization Signal

    d[2n ] =s m 00 [n ]c0[n ] in subframe 0s m 11 [n ]c0[n ] in subframe 5

    d[2n + 1] = sm 11 [n ]c1[n ]zm 01 [n ] in subframe 0

    s m 00 [n ]c1[n ]zm 11 [n ] in subframe 5

    NoteThe S-SCH is different for each subframe index (0 or 5).

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search26/4026/40

    SSS: Secondary Synchronization SignalSSS: Secondary Synchronization Signal Secondary Synchronization SignalSecondary Synchronization Signal

    Revision: Reference signalsRevision: Reference signals

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    Revision: Reference signals Revision: Reference signals

    0 1 2 3 4 5 6 7 8 9

    radio frame = 10 ms

    0 1 2 3 4 5 6 7 8 9 10 11 12 13

    PSS (Primary Synchronization Signal)

    SSS (Secondary Synchronization Signal)

    RS (Reference Symbol)

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search27/4027/40

    RS: Cell-specic reference signalsRS: Cell-specic reference signals

    OutlineOutline

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    Outline Outline

    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search28/4028/40

    RS: Cell-specic reference signalsRS: Cell-specic reference signals

    Cell specic reference signalsCell specic reference signals

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    Cell-specic reference signals Cell-specic reference signals

    Cell-specic reference signal P [n ]

    Complex-valued sequence P [n ]use of a Gold sequence length 31Initial value cinit of the Gold generatedcinit depends on the cell-ID

    P [n ] = 1 2 (1 2 c[2n ]) + j 1 2 (1 2 c[2n + 1])cinit = 2 10

    (7

    (n s + 1) + l + 1)

    (2

    N c + 1) + 2

    N c + N CP

    N c is the cell-IDn resource element indexn s to be the slot-indexN CP = 0 if extended CP, else 0

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search29/4029/40

    Concept: Cell Search procedureConcept: Cell Search procedure

    OutlineOutline

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    Outline Outline

    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search30/4030/40

    Concept: Cell Search procedureConcept: Cell Search procedure

    Concept: Cell Search procedureConcept: Cell Search procedure

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    Concept: Cell Search procedure Concept: Cell Search procedure

    Synchronization

    Primary Signaldetection

    Secondary Signaldetection

    CellConrmation

    Synchronization

    N o c e l l

    - I D

    c o n

    r m a t i o n

    a f t e r s e v e r a

    l s u b f r a m e s

    N o c e l l

    - I D a f t e r

    s e v e r a

    l i t e r a t i o n s

    Symbol timingCFO (fractional)

    Sector-ID

    Group-ID Cell-IDCFO (integer), BOF

    Successfull Synchronizationand cell search

    SynchronizationCross-Correlate received signal withthe three possible PSS sequencesChoose the strongest sector by

    maximizing the correlation resultsThe time relative position of thecorrelation peak gives the timeoffset to the radio frame begin(with uncertainty between rst and sixthsubframe)

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search31/4031/40

    Concept: Cell Search procedureConcept: Cell Search procedure

    Concept: Cell Search procedureConcept: Cell Search procedure

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    Concept: Cell Search procedure Concept: Cell Search procedure

    Synchronization

    Primary Signaldetection

    Secondary Signaldetection

    CellConrmation

    Primary Signaldetection

    N o c e l l

    - I D

    c o n

    r m a t i o n

    a f t e r s e v e r a

    l s u b f r a m e s

    N o c e l l

    - I D a f t e r

    s e v e r a

    l i t e r a t i o n s

    Symbol timingCFO (fractional)

    Sector-ID

    Group-ID Cell-IDCFO (integer), BOF

    Successfull Synchronizationand cell search

    Primary Signal detectionThe knowledge of the right ZCsequences indicates the sector-ID:

    N s = arg max

    i[n ]

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search31/4031/40

    Concept: Cell Search procedureConcept: Cell Search procedure

    Concept: Cell Search procedureConcept: Cell Search procedure

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    Concept: Cell Search procedure Concept: Cell Search procedure

    Synchronization

    Primary Signaldetection

    Secondary Signaldetection

    CellConrmation

    Secondary Signaldetection

    N o c e l l

    - I D

    c o n

    r m a t i o n

    a f t e r s e v e r a

    l s u b f r a m e s

    N o c e l l

    - I D a f t e r

    s e v e r a

    l i t e r a t i o n s

    Symbol timingCFO (fractional)

    Sector-ID

    Group-ID Cell-IDCFO (integer), BOF

    Successfull Synchronizationand cell search

    Secondary Signal detectionGroup-ID can be jointly estimatedwith the integer CFO and thesubframe index (0 or 5)

    Exploit the shifts of s0[n ] and s1[n ](respectively m0 and m1)The group-ID N g can be identiedthrough m0 and m1

    Cell-ID gets: N c = 3N g + N s

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search31/4031/40

    Concept: Cell Search procedureConcept: Cell Search procedure

    Concept: Cell Search procedureConcept: Cell Search procedure

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    Concept: Cell Search procedure Concept: Cell Search procedure

    Synchronization

    Primary Signaldetection

    Secondary Signaldetection

    CellConrmation

    CellConrmation

    N o c e l l

    - I D

    c o n

    r m a t i o n

    a f t e r s e v e r a

    l s u b f r a m e s

    N o c e l l

    - I D a f t e r

    s e v e r a

    l i t e r a t i o n s

    Symbol timingCFO (fractional)

    Sector-ID

    Group-ID Cell-IDCFO (integer), BOF

    Successfull Synchronizationand cell search

    Cell ConrmationCalculate the estimated ReferenceSignalVerify the cell-ID by a

    Cross-Correlation with the receivedcell-specic Reference SignalCross-Corrleation in the frequencydomain

    If peaks in correlation arise Synchronization and Cell searchsuccessful

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search31/4031/40

    SummarySummary

    OutlineOutline

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    Outline Outline

    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search32/4032/40

    SummarySummary

    Summary Summary

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    yy

    SummaryZadoff-Chu Sequences with ideal cyclic auto-correlationFourier Duality of Zadoff-Chu Sequences

    Primary Synchronization Signal and ZC-MappingSecondary Synchronization Signal with Interleaving andScramblingConcept procedure for LTE synchronization

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search33/4033/40

    LiteratureLiterature

    Outline Outline

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    1 Motivation

    2 Theory of Zadoff Chu sequences

    3 PSS: Primary Synchronization Signal

    4 SSS: Secondary Synchronization Signal

    5 RS: Cell-specic reference signals

    6 Concept: Cell Search procedure

    7 Summary

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search34/4034/40

    LiteratureLiterature

    Literature I Literature I

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    [FZH62] Frank, R. ; Zadoff, S. ; Heimiller, R.:Phase shift pulse codes with good periodic correlationproperties (Corresp.).In: IRE Transactions on Information Theory 8 (1962),

    Oktober, Nr. 6, S. 381382.http://dx.doi.org/10.1109/TIT.1962.1057786 .DOI 10.1109/TIT.1962.1057786

    [Koc] Koch, Prof. W.:LTE-Downlink Physical Layer for FDD

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search35/4035/40

    LiteratureLiterature

    Literature II Literature II

    http://dx.doi.org/10.1109/TIT.1962.1057786http://dx.doi.org/10.1109/TIT.1962.1057786
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    [LH07] Li, C.-P. ; Huang, W.-C.:A Constructive Representation for the Fourier Dual of the ZadoffChu Sequences.53 (2007), November, Nr. 11, S. 42214224.http://dx.doi.org/10.1109/TIT.2007.907336 .

    DOI 10.1109/TIT.2007.907336[MGEJ+ 09] Manolakis, K. ; Gutierrez Estevez, D. M. ; Jungnickel,

    V. ; Xu, Wen ; Drewes, C.:A Closed Concept for Synchronization and Cell Search

    in 3GPP LTE Systems.In: Proc. IEEE Wireless Communications and Networking Conference WCNC 2009 , 2009, S. 16

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search36/4036/40

    LiteratureLiterature

    Literature III Literature III

    http://dx.doi.org/10.1109/TIT.2007.907336http://dx.doi.org/10.1109/TIT.2007.907336http://dx.doi.org/10.1109/TIT.2007.907336
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    [Myu08] Myung, Hyung G.:Technical Overview of 3GPP LTE .http://hgmyung.googlepages.com/3gppLTE.pdf .Version: May 2008

    [Pop92] Popovic, B. M.:Generalized chirp-like polyphase sequences withoptimum correlation properties.38 (1992), Nr. 4, S. 14061409.http://dx.doi.org/10.1109/18.144727 . DOI 10.1109/18.144727. ISSN 00189448

    Fabian SchuhFabian Schuh Synchronization and Cell Search Synchronization and Cell Search37/4037/40

    LiteratureLiterature

    Literature IV Literature IV

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    Questions? Questions?

    http://dx.doi.org/10.1109/MVT.2007.912929http://dx.doi.org/10.1109/MVT.2007.912929http://dx.doi.org/10.1109/MVT.2007.912929
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    Thank you for your attention.

    Any Questions?

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