papr-presentation

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High PAPR Sequence Scrambling for Reducing OFDM
Peak-to-Average Power Ratio
Heshani Gamage, Nandana Rajatheva, Matti Latva-aho
University of Oulu
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Outline
OFDM Introduction
PAPR Problem
Proposed Method
Simulation Results
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OFDM Introduction
A digital multi-carrier modulation method where large number of closely
spaced orthogonal sub-carrier signals are used to carry data on several
parallel data streams or channels.
x(t) =
1
N
N−1
k=0
Xkej2πfkt
; 0 ≤ t < NT (1)
Resilient to multipath fading, inter-symbol interference (ISI), co-channel
interference and impulsive parasitic noise, due to multiple narrow band
sub channels with a lower data rate on each sub channel.
Lower implementation complexity compared with the single carrier
solution with usage of Fast Fourier transform (FFT)/Inverse FFT (IFFT)
blocks.
Has a high spectral eﬃciency due to usage of closely spaced overlapping
subcarriers.
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OFDM System Model
Figure: OFDM System Model
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Drawbacks of OF OFDM
High Peak-to-Average Power Ratio(PAPR).
Sensitive to carrier oﬀset and drift.
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Peak-to-Average Power Ratio of OFDM
For better approximation of the PAPR of continuous-time OFDM signals,
OFDM signal samples are obtained by L times oversampling.
L-times oversampled IFFT output can be expressed as 1
,
x [n] =
1
√
N
N−1
k=0
Xkej 2πnk
LN ; 0 ≤ n < LN − 1 (2)
PAPR of OFDM signal,
PAPR{x [n]} =
max0≤n≤NL |x [n] |2
E [|x [n] |2]
(3)
1T. Jiang and Y. Wu, ”An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals” in IEEE Transactions on
Broadcasting , vol. 54,no. 2,pp. 257–268 , 2008.
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PAPR Problem
Figure: Sum power and average power of a composite signal of 4 subcarriers
N base stations (BSs) and K users.
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PAPR Problem ctd.
Figure: Signal Power and Average Power
of an OFDM Signal with 1024 subcarriers
Figure: CCDF of the PAPR of OFDM
signal with 1024 subcarriers
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Eﬀect of subcarriers on PAPR
Figure: CCDF of OFDM PAPR for diﬀerent number of subcarriers
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Drawbacks of high PAPR
Distortion of the signal if the transmitter has nonlinear components such
as power amplifiers (PAs).
Nonlinear devices will cause spectral spreading, inter modulation and
constellation distortion.
To avoid this, usage of expensive high power amplifiers in a very large
linear range, approximately equal to the dynamic range of the OFDM
signal is required.
High PAPR signals prevent PA from operating in near saturation region
reducing the PA efficiency.
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PAPR Reduction Schemes
Clipping and Filtering.
Selective Mapping (SLM).
Coding / Complement block coding.
Partial Transmit Sequence (PTS).
Tone reservation and tone injection.
Nonlinear companding (µ-law / exponential companding ).
Almost all the methods have one or more above drawbacks of
High computational complexity.
Degradation in BER Performance.
High average power and requirement of additional transmit power.
Bandwidth expansion or spectral spillage.
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Selective Mapping
U different OFDM signals are generated as candidates for a specific
signal and then one with the lowest PAPR is selected for the actual
transmission.
At the receiver, it is necessary to know which one of U candidates is
transmitted. Hence transmission of side information is needed in
conventional methods resulting a data rate loss.
There are several techniques to generate different OFDM signals
including, phase rotation and turbo coding.
Usually the complexity is very high due to its requirement of calculating
U × N IFFTs whenever SLM is applied for an OFDM system with N
subcarriers.
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For a small number of N, the probability that the PAPR of the OFDM
signal exceeds a certain threshold λ is given by2
,
Pr{PAPR > λ} = 1 − (1 − e−λ
)N
(4)
In SLM it is assumed that, U statistically independent alternative
sequences, which represent the same information are generated by some
suitable means. The sequence with the lowest PAPR is selected for
transmission. The probability that the lowest PAPR λl exceeds a certain
threshold λ is given by3
,
Pr{λl > λ} = (Pr{PAPR > λ})U
(5)
2S. Shepherd, J. Orriss, and S. Barton, Asymptotic limits in peak envelope power reduction by redundant coding in orthogonal frequency division
multiplex modulation, in IEEE Transactions in Communications, vol. 46, no. 1, pp. 5-10, Jan. 1998.
3R. W. Bauml, R. F. H. Fisher,J. B. Huber, Reducing the Peak-to-Average Power Ratio of Multicarrier Modulation by Selected Mapping in IEE
Electronics Letters, vol. 32, no. 22, pp. 2056-2057, Oct.1996
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Proposed Method
Since all the signals do not exceed the threshold (About 85% of
sequences will exceed a 7dB threshold and about 42% sequences will
exceed an 8dB), we apply the PAPR reduction scheme only for those
signals which exceed the PAPR threshold.
We keep an array of U scramblers to change a high PAPR sequence into
a lower PAPR sequence.
Once the PAPR of the scrambled sequence goes below the threshold, the
scrambling will be terminated and the scrambled sequence will be
transmitted, reducing the computational Complexity.
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Scrambler and Descrambler
Figure: Scrambler for an N length sequence Figure: Descrambler for an N length sequence
These scramblers can be deﬁned by the scrambler polynomial P where,
P = [ 1 P1 P2 ... PS] ; PS ∈ {1, 0} for s = 1..S
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Simulation Parameters
In order to verify the performance of the high PAPR sequence scrambling
in reduction of PAPR, we considered a base band OFDM system with the
number of subcarriers N = 128 throughout the computer simulations.
The oversampling factor is L is set to 4.
Randomly generated input data is modulated by 16-quadrature amplitude
modulation (16QAM).
We used an array of U = 15 scramblers for PAPR reduction throughout
the simulations so that only one subcarrier is needed for side information.
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Simulation Results with 8dB as the threshold
Figure: PAPR comparison of OFDM and
proposed technique 128 subcarriers with 8dB
threshold and 15 scramblers
Figure: Percentage of sequences which has
used each scrambler for Th = 8dB. Zero
means no scrambler is used
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Although 15 scramblers are used in this case, it can be seen from the
histogram that
More than 58% of the sequences do not need any scrambler.
About another 25% of signals go below threshold after the 1st scrambler.
About 10% more of signals get below threshold after 2 scramblers.
Another 4.3% of signals go below threshold after 3 scramblers.
Only 0.4% sequences need more than 5 scramblers.
Less than 0.007% sequences have to use more than 10 scramblers to
achieve PAPR below threshold.
Hence this technique reduces the computational complexity of the
original SLM technique as it does not need to compute all U candidate
sequences and choose the optimum.
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Figure: PAPR comparison of OFDM and
proposed technique 128 subcarriers with 7dB
threshold and 15 scramblers
Figure: Percentage of sequences which has
used each scrambler for Th = 7dB. Zero
means no scrambler is used
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Figure: CCDF of OFDM PAPR for diﬀerent
numbers of subcarriers N
Figure: Performance of the system with
increasing number of subcarriers N, for
threshold Th
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Comparison with existing PAPR reduction methods4 5
4T. Jiang and Y. Wu, ”An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals” in IEEE Transactions on
Broadcasting , vol. 54,no. 2,pp. 257–268 , 2008.
5D.J.G. Mestdagh, ”Reduction Peak-to-Average Power Ratio of OFDM Systems: A Tutorial Overview”,2014
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Conclusion
Search for a low PAPR sequence will be terminated when a sequence is
generated with PAPR lower than the preset threshold. Hence
computational complexity of this method is significantly decreased from
the conventional SLM method.
Proposed technique is effective in reducing PAPR more than 4 dB of the
original signal for an arbitrary number of subcarriers.
We can find a compromise between PAPR reduction and computational
complexity by selecting an appropriate threshold value and the overhead
of scrambler index side information can be used for trade off in PAPR
reduction capability by choosing a suitable value as the size of the
scrambler array.
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