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OFDM

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Title: OFDM


1
OFDM
  • Adaptive Modulation
  • Reduction of Peak-to-Average Power Ratio
  • Channel estimation
  • OFDM in frequency selective fading channel

Puja Thakral Silvija Kokalj-Filipovic
Youngsik Lim Sadhana Gupta
2
OUTLINE
  • Introduction to OFDM
  • Adaptive Modulation
  • Reduction of Peak-to-Power Average Ratio
  • OFDM in Frequency Selective Fading Channel
  • Channel Estimation
  • Conclusions

3
OFDM SYSTEM
4
Baseband Transmitter
5
Baseband Ideal Receiver
6
Adaptive Modulation
  • In OFDM ,adaptive bit loading algorithms set
    the modulation level in each frequency band such
    that a predefined total number of bits are
    transmitted with minimum power.Adaptive
    Modulation independently optimizes the modulation
    scheme to each sub carrier so that spectral
    efficiency is maximized,while maintaining a
    target Bit Error Rate(BER).

7
OFDM Block StructureWith Adaptive Modulation
S/P
IFFT
FFT
P/S
MODULATOR 1
DEMODULATOR 1
MODULATOR 2
DEMODULATOR 2
FREQUENCY SELECTIVE CHANNEL

MODULATOR N
DEMODULATOR N
CHANNEL ESTIMATION
ADAPTIVE BIT AND POWER ALLOCATION
8
Various Algorithms in Adaptive Modulation
  • For a given target BER and bit-rate, the total
    transmit power can be minimized by optimally
    distributing the power and bit-rate across the
    sub channels.
  • For a given target BER and power transmitted,the
    total bit-rate can be maximized.
  • For a given target power and bit rate,the total
    BER can be minimized.

9
ALGORITHM
  • Compute the subchannel signal to noise ratios.
  • Compute the number of bits for the ith subchannel
    based on the formula, b(i)log2(1SNR(i))
  • Round the value of b(i) down to b(i).
  • Restrict b(i) to take the values 0,1,2,4,6,8
  • Compute the energy for the ith subchannel based
    on the number of bits initially assigned to it
    using the formula e(b(i))(2b(i)-1)/SNR

10
RESULTS
11
FUTURE WORK
  • Feasibility study of MIMO OFDM systems
  • Simulation of MIMO OFDM system with adaptive
    modulation and multilevel transmit power control.

12
Peak To Average Power Ratioin OFDM
  • Causes, Effects and Reduction Methods

Silvija Kokalj-Filipovic
13
Summary
  • Goal reducing maximum output power to near
    average power by limiting the set of transmitted
    signals through coding
  • Complementary Golay Sequences have
    peak-to-average power less then 2
  • Reed-Muller Coding used to produce these
    sequences out of information sequence

14
Stochastic Structure
  • In accordance with CLT, when large number of
    modulated carriers (N) are combined into a
    composite time-domain signal by means of IFFT
    (they are assumed to be independent, since the
    assigned data symbols are iid (µ0, s0 )), it
    leads to near Gaussian pdf of amplitude, where
    the amplitude value exceeds certain threshold
    value A with probability Q(A-µ/s), and
  • µ Nµ0 s Ns0

15
  • Since we have N independent points in the
    composite time signal
  • For BPSK modulation well have Gaussian
    distribution of the amplitude
  • For MPSK and M-QAM modulations (which both have
    2-dimensional space I and Q component ) we have
    a Rayleigh distribution (square root of the sum
    of squares of I Q Gaussian random variables).
  • Cumulative distribution of power F (z) 1-e-z

16
Definition of PAPR (PMEPR)
  • PAPR PAR Peak-To-Average Power Ratio
  • PMEPR Peak-To-Mean Envelope Power Ratio
  • Crest factor of x(t) square root of PAR
  • Definition PAR (x8)2 / E(x2) 2

17
Crest Factor - notation
The crest factor of u(t) square root of
PMEPR where is the maximum absolute
value of u(t) and is the rms of u(t)  
18
Effects of PAPR
  • The power amplifiers at the transmitter need to
    have a large linear range of operation.
  • nonlinear distortions and peak amplitude limiting
    introduced by the High Power amplifier (HPA) will
    produce inter-modulation between the different
    carriers and introduce additional interference
    into the system.
  • additional interference leads to an increase in
    the Bit Error Rate (BER) of the system.
  • one way to avoid non-linear distortion is by
    forcing the amplifier to work in its linear
    region. Unfortunately such solution is not power
    efficient and thus not suitable for wireless
    communication.
  • The Analog to Digital converters and Digital to
    Analog converters need to have a wide dynamic
    range and this increases complexity.
  • if clipped, it leads to in-band distortion
    (additional noise) and ACI (out-of-band
    radiation)

19
Classification of PAR reduction methods
  • BLOCK CODING (Golay sequences)
  • CLIP EFFECT TRANSFORMATION
  • PROBABILISTIC TECHNIQUES
  • Selective Mapping (SLM) and Partial Transmit
    Sequences (PTS)
  • Tone Reduction (TR) and Tone Injection (TI)

20
Representation of OFDM signal
  • In the bandpass with the multi-carrier
    (multitone) signal can be represented as
  • where corresponds to initial phase of the
    tones, i.e. the effect of modulating data.

21
Representation of OFDM signal


assuming t is the frequency and 1/T is the
sampling period of sequence
is the discrete complex sequence of information
data (phase-mapped).
Crest factor depends on the maximum absolute
value of the multicarrier signal, and that one
depends on the amplitude spectrum of the
complex sequence
Observation OFDM has somewhat inverted logic
we are looking for flat PSD in time domain, while
autocorrelation is taken in frequency domain
Choosing
to be complementary Golay sequence
crest factor of less than 6dB (PAPR of 3 dB) can
be obtained
22
Proof
  • Aperiodic correlation Cx(z) of some sequence
  • The Fourier transform Sx(f) of sequence
  • Definition Two sequences and of the
    length N form a complementary pair if
  • Golay complementary sequences have that property.

where Ts is the sampling period of sequence
23
  • N carrier OFDM H-PSK modulation
  • Information-bearing sequence
    is
  • in fact an OFDM codeword and is the
    primitive H-root of unity (j in QPSK case)
  • Instantaneous Envelope Power

For complementary sequences
24
Theory behind Reed-Muller codes
  • An rth order Reed-Muller code R(r,m) is the set
    of all binary strings (vectors) of length n 2m
    associated with the Boolean polynomials p(x1, x2,
    , xm) of degree at most r.
  • A Boolean polynomial is a linear combination of
    Boolean monomials with coefficients in F2. A
    Boolean monomial p in the variables x1, x2, , xm
    is the expression of the form
  • P x1r1 x2r2 , xmrm where ri 0,1,2.. and 1
    i m.
  • Degree of a monomial is deduced from it reduced
    form (after rules xixj xjxi and xi2 xi are
    applied), and it is equal to the number of
    variables. This rule extends to polynomials
  • Ex. of a polynomial of degree 3
  • q x1 x2x1 x2 x1 x2 x3
  • How to associate Boolean monomial in m variables
    to a vector with 2m entries
  • a vector associated with monomial of degree 0 (1)
    is a string of length 2m where each entry is 1.
  • a vector associated with monomial x1 is 2m-1 ones
    followed by 2m-1 zeros.
  • a vector associated with monomial x2 is 2m-2 ones
    followed by 2m-2 zeros, then another 2m-2 ones
    followed by 2m-2 zeros.
  • a vector associated with monomial xi is a pattern
    of 2m-i ones followed by 2m-i zeros, repeated
    until 2m values are defined.

25
Example of RM generator matrix
  • m 5 RM(1,5) has six rows
  • X0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
    1 1 1 1 1 1 1 1 1 1 1
  • X1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1
    1 1 1 1 1 1 1 1 1 1 1
  • X2 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0
    0 0 0 1 1 1 1 1 1 1 1
  • X3 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1
    1 1 1 0 0 0 0 1 1 1 1
  • X4 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0
    0 1 1 0 0 1 1 0 0 1 1
  • X5 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
    1 0 1 0 1 0 1 0 1 0 1

26
Relationship between Reed-Muller codes and
Complementary Golay Sequences
  • In the binary case, Golay pairs and sets occur in
    the first-order Reed-Muller code RM(1,m) within
    the second-order Reed-Muller code (cosets).
  • Each coset has assigned coset representative of
    the form
  • where is any permutation of the sequence
    of generator matrix rows see graph with rows as
    hypercube vertices
  • number of elements in the
    Galois field

27
Simulation
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29
Conclusions and Further Work
  • Result complete elimination of clipping noise
  • Drawback serious overhead (low bandwidth
    utilization 17/32)
  • Further work
  • implementation of Tone Reservation Algorithm and
    Comparison with Golay Sequences
  • Extension of the method to Golay sequences that
    do not form complementary pairs but have
    satisfying PAR (coset representatives of
    different forms)

30
Conclusions and Further Work
  • Result complete elimination of clipping noise
  • Drawback serious overhead (low bandwidth
    utilization 17/32)
  • Further work
  • implementation of Tone Reservation Algorithm and
    Comparison with Golay Sequences
  • Extension of the method to Golay sequences that
    do not form complementary pairs but have
    satisfying PAR (coset representatives of
    different forms)

31
Cyclic prefix of OFDM in frequency selective
fading channel
32
Problem Description
  • Signal distortion in frequency selective fading
    channel
  • What is the cyclic prefix ?
  • How is the interference eliminated with cyclic
    prefix?
  • How is its performance without the cyclic prefix.

33
Transmission over frequency selective fading
channel()
?(t)
Pulse Shaping ?Tx
Receive Filter ?Rx
Channel ?ch

tnTs
?(n)
?(n)
H0H1z-1
h(n)


() Z. Wang, G.B. Giannakis, Wireless
Multicarrier Communications. IEEE 2000 Signal
Processing Magazine
34
Channel Model ()
  • Channel response

Dispersive in time, Static over block interval
Selective in frequency
Black Average , Gray a realization of the
channel
() Frequency selective Flat fading
channel(Naftali Chayat in IEEE P802.11-97/96)
35
What is H0 and H1?
36
How is IBI deleted ?
37
Cyclic prefix effect on OFDM
OFDM
Input bits
S/P
Mapping
IFFT
FFT
Demapping
P/S
Output bits
. . .
. . .
. . .
. . .
. . .

No IBI plus simpler equalizer
38
  • Simulation configuration
  • Perfect channel estimation , QPSK, Fixed
    sub-channel power
  • Zero Forcing equalization
  • 64 sub-carriers
  • Simulation Results

39

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802.11a Pilot subcarrier placement

Subcarrier
-
21
-
7 0 7
21

numbers
-
31 to 32

Pilot subcarrier placement used

L 7 14
22
14 7

Subcarr
ier
0 7 21
43 57
64

numbers 1 to 64

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