Wireless Information Transmission System Lab. Institute of Communications Engineering National Sun Yat-sen University Peak-to-Average Power Ratio (PAPR)

Slides:



Advertisements
Similar presentations
Physical Layer: Signals, Capacity, and Coding
Advertisements

Feedback Reliability Calculation for an Iterative Block Decision Feedback Equalizer (IB-DFE) Gillian Huang, Andrew Nix and Simon Armour Centre for Communications.
OFDM Transmission over Gaussian Channel
The Peak-to-Average Power Ratio Problem
Doc.: IEEE r0 Submission November 2002 Je Woo Kim, TeleCIS WirelessSlide 1 PAPR Reduction of OFDM by Unitary Transformations Je Woo Kim TeleCIS.
The Basic Principles of OFDM
The Impact of Channel Estimation Errors on Space-Time Block Codes Presentation for Virginia Tech Symposium on Wireless Personal Communications M. C. Valenti.
a By Yasir Ateeq. Table of Contents INTRODUCTION TASKS OF TRANSMITTER PACKET FORMAT PREAMBLE SCRAMBLER CONVOLUTIONAL ENCODER PUNCTURER INTERLEAVER.
1 PTS with Non-uniform Phase Factors for PAPR Reduction in OFDM Systems 指導教授 : 蔡育仁 博士 學生姓名 : 黃信智 To appear in IEEE Communications Letters, Jan.
1 Peak-to-Average Power Ratio (PAPR) One of the main problems in OFDM system is large PAPR /PAR(increased complexity of the ADC and DAC, and reduced efficiency.
OFDM Adaptive Modulation Reduction of Peak-to-Average Power Ratio Channel estimation OFDM in frequency selective fading channel Puja Thakral Silvija Kokalj-Filipovic.
Diversity techniques for flat fading channels BER vs. SNR in a flat fading channel Different kinds of diversity techniques Selection diversity performance.
IERG 4100 Wireless Communications
1 EQ2430 Project Course in Signal Processing and Digital Communications - Spring 2011 On phase noise and it effect in OFDM communication system School.
Evaluation of performance improvement capabilities of PAPR-reducing methods Marc Deumal †, Ali Behravan *, Thomas Eriksson ‡ and Joan Lluís Pijoan † †
Third COST 289 Workshop, 12 – 13 July 2006, Aveiro, Portugal 1 Third COST 289 Workshop Multiple Access Techniques for the Uplink in Future Wireless Communications.
#7 1 Victor S. Frost Dan F. Servey Distinguished Professor Electrical Engineering and Computer Science University of Kansas 2335 Irving Hill Dr. Lawrence,
PAPR Reduction Methods for Noncoherent OFDM-MFSK 3rd COST 289 Workshop Aveiro, Portugal, July 12-13, 2006 Matthias Wetz, Werner G. Teich, Jürgen Lindner.
Wireless communication channel
Design of Expanded Constellations for PAPR Reduction in OFDM Systems Speaker: Dr. Ali Al-Shaikhi Assistant Professor, EE department.
EE 6332, Spring, 2014 Wireless Communication Zhu Han Department of Electrical and Computer Engineering Class 12 Feb. 24 nd, 2014.
The University of Texas at Austin
Usage of OFDM in a wideband fading channel OFDM signal structure Subcarrier modulation and coding Signals in frequency and time domain Inter-carrier interference.
ECE 4371, Fall, 2014 Introduction to Telecommunication Engineering/Telecommunication Laboratory Zhu Han Department of Electrical and Computer Engineering.
ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING(OFDM)
Pro-VIZOR: Process Tunable Virtually Zero Margin Low Power Adaptive RF for Wireless Systems Presented by: Shreyas Sen June 11, Paper 27.3, DAC 08.
1 11 Subcarrier Allocation and Bit Loading Algorithms for OFDMA-Based Wireless Networks Gautam Kulkarni, Sachin Adlakha, Mani Srivastava UCLA IEEE Transactions.
Wireless Communication Technologies 1 Outline Introduction OFDM Basics Performance sensitivity for imperfect circuit Timing and.
Orthogonal Frequency Division Multiplexing - OFDM
Signal Encoding Techniques. Lecture Learning Outcomes Be able to understand, appreciate and differentiate the different signal encoding criteria available.
 Most previous work that deals with channel tracking assumes that the number K p of pilot subcarriers in each data OFDM symbol is at least as large as.
OFDM Presented by Md. Imdadul Islam.
Space-Time and Space-Frequency Coded Orthogonal Frequency Division Multiplexing Transmitter Diversity Techniques King F. Lee.
Inter-carrier interference cancellation in OFDM systems By: Dharamveer Meena Vinodkumar Pralia.
OFDM Each sub-carrier is modulated at a very low symbol rate, making the symbols much longer than the channel impulse response. Discrete Fourier transform.
Performance Analysis of OFDM Systems with Adaptive Sub Carrier Bandwidth Suvra S. Das, Student Member, IEEE, Elisabeth De Carvalho, Member, IEEE, and Ramjee.
Eeng Chapter 5 AM, FM, and Digital Modulated Systems  Phase Modulation (PM)  Frequency Modulation (FM)  Generation of PM and FM  Spectrum of.
Chapter 6. Effect of Noise on Analog Communication Systems
1 Quantization Error Analysis Author: Anil Pothireddy 12/10/ /10/2002.
A Novel Method of Carrier Frequency Offset Estimation for OFDM Systems -Mingqi Li and Wenjun Zhang IEEE Transactions on Consumer 966 Electronics, Vol.
Introduction to Digital Communication
OFDM Based WLAN System Song Ziqi Zhang Zhuo.
Chapter 4 part 2_a Digital Modulation Techniques.
Combined Linear & Constant Envelope Modulation
3: Diversity Fundamentals of Wireless Communication, Tse&Viswanath 1 3. Diversity.
Spectrum Sensing In Cognitive Radio Networks
Bandpass Modulation & Demodulation Detection
PAPR Reduction Method for OFDM Systems without Side Information
FMT Modulation for Wireless Communication
Simulation Data for Letter Ballot Comments on Quasi-guard Subcarriers and Reverse Link Waveform Lai King (Anna) Tee January 15, 2007.
Amplifier Nonlinearities in OFDM Multiple Antenna Systems FERNANDO GREGORIO Signal Processing Laboratory HUT.
Single carrier  Multicarrier  OFDM Single Carrier - ISI, Receiver complexity  ISI, Bit rate limitation Multi-carrier - Negligible ISI, Approximately.
Introduction to OFDM and Cyclic prefix
UNIT-IV PASSBAND TRANSMISSION MODEL
UNIVERSITY MALAYSIA PERLIS
A New Technique for Sidelobe Suppression in OFDM Systems
Hui Ji, Gheorghe Zaharia and Jean-François Hélard
Advanced Wireless Networks
Space-Time and Space-Frequency Coded Orthogonal Frequency Division Multiplexing Transmitter Diversity Techniques King F. Lee.
Principios de Comunicaciones EL4005
Analog to digital conversion
Outline Introduction Signal, random variable, random process and spectra Analog modulation Analog to digital conversion Digital transmission through baseband.
Advanced Wireless Networks
Channel Estimation 黃偉傑.
ELEG 6203: "Wireles Networks" Wireless Networks December 04,2003
Linglong Dai, Jintao Wang, Zhaocheng Wang and Jun Wang
EE 6332, Spring, 2017 Wireless Telecommunication
STBC in Single Carrier(SC) for IEEE aj (45GHz)
Chapter Three: Amplitude Modulation
OUT OF BAND AND ICI REDUCTION TECHNIQUE
Presentation transcript:

Wireless Information Transmission System Lab. Institute of Communications Engineering National Sun Yat-sen University Peak-to-Average Power Ratio (PAPR) 2012/07/30 邱營棋

2 Multi-carrier systems ◊ The complex baseband representation of a multicarrier signal consisting of N subcarriers is given by where is the subcarrier spacing. ◊ In OFDM systems, the subcarriers are chosen to be orthogonal. (i.e., )

3 An example of the time-domain signals with 64 subcarriers

◊ Due to the large number of sub-carriers in typical OFDM systems, the amplitude of the transmitted signal has a large dynamic range, leading to in-band distortion and out-of-band radiation when the signal is passed through the nonlinear region of power amplifier. ◊ Although the above-mentioned problem can be avoided by operating the amplifier in its linear region, this inevitably results in a reduced power efficiency. ◊ The PAPR of the transmit signal is defined as 4 The effect of high PAPR

5 AM/AM distortion Soft limiter

6 Bandwidth regrowth

◊ If we sample x(t) by a sampling rate of 1/T s (the sampling period T s = T/N ), we may miss some signal peaks and get optimistic results for the PAPR. ◊ For better approximating the true PAPR in the discrete-time case, we usually oversample x(t) by a factor of L, i.e., the sampling rate is L/T s. ◊ It was shown in [15] that an oversampling factor L=4 is sufficient to approximate the true PAPR. 7 PAPR in discrete-time case

◊ For an OFDM system with N sub-carriers, an oversampling rate of L can be achieved by inserting (L - 1)·N zeros in the middle of the modulated symbol vector to form a 1×LN data vector X, i.e. ◊ The PAPR computed from the L-times oversampled time-domain signal samples is given by 8 PAPR in discrete-time case

◊ The cumulative distribution function (CDF) of the PAPR is one of the most frequently used performance measures for PAPR reduction techniques. In the literature, the complementary CDF (CCDF) is commonly used instead of the CDF itself. ◊ The CCDF of the PAPR denotes the probability that the PAPR of a data block exceeds a given threshold. ◊ From the central limit theorem, the real and imaginary parts of the time domain signal samples follow Gaussian distributions, assuming each distribution with a mean of zero and a variance of 0.5 for a multicarrier signal with a large number of subcarriers. 9 The CCDF of the PAPR

◊ Hence, the amplitude of a multicarrier signal has a Rayleigh distribution, while the power distribution becomes a central chi- square distribution with two degrees of freedom. ◊ The CDF of the instantaneous power of a signal sample is given by ◊ The CCDF of the PAPR of a data block with Nyquist rate sampling is derived as This expression assumes that the N time domain signal samples are mutually independent and uncorrelated. 10 The CCDF of the PAPR

◊ Distortion ◊ Clipping ◊ Companding ◊ Distortionless ◊ Selected Mapping (SLM) ◊ Partial Transmit Sequence (PTS) ◊ Others ◊ Active Constellation Extension (ACE) ◊ Tone Reservation (TR) 11 PAPR Reduction Methods

◊ The simplest way to reduce the PAPR. ◊ The peak amplitude becomes limited to a desired level. ◊ Clipping ◊ Clipping Ratio 12 Clipping

◊ By distorting the OFDM signal amplitude, a kind of self- interference introduced that degrades the BER. ◊ Nonlinear distortion increases out-of-band radiation. 13 Clipping

14 Companding

15 Companding

16 Selected mapping (SLM)

1. A set of U markedly different, distinct, pseudo-random but fixed vectors P (u) = [P 0 (u), …, P N-1 (u) ], with must be defined. 2. The subcarrier vector A is multiplied subcarrier-wise with each one of the U vectors P (u), then resulting to component 3. Then all U alternative subcarrier vectors are transformed into time domain to get and finally that transmit sequence with the lowest PAPR is chosen. ◊ For implementation, the SLM technique needs U IDFT operations, and the number of required side information bits is, denotes the smallest integer that exceed y. 17 Selected mapping (SLM)

18 PAPR reduction performance of SLM ◊ N = 256, L = 4, 16-QAM,

19 Partial transmit sequence (PTS) Partial transmit sequence (PTS)

1. In this scheme, the subcarrier vector A is partitioned into M pairwise disjoint subblocks All subcarrier positions in which are already represented in another subblock are set to zero, so that 2. We introduce complex-valued rotation factors, and μ is index of all phase rotation of “Peak value optimization”. Enabling a modified subcarrier vector which represents the same information as A, if the set (as side information) is known for each μ. 20 Partial transmit sequence (PTS) Partial transmit sequence (PTS)

3. To calculate, the linearity of the IDFT is exploited. Accordingly, the subblocks are transformed by M separate and parallel N-point IDFTs, yielding 4. Based on them a peak value optimization is performed by suitably choosing the free parameters such that the PAPR is minimized for. ◊ It should be noted, that PTS can be interpreted as a structurally modified special case of SLM. 21 Partial transmit sequence (PTS) Partial transmit sequence (PTS)

22 Partial transmit sequence (PTS) Partial transmit sequence (PTS) ◊ In general, the selection of the phase factors is limited to a set with a finite number of elements to reduce the search complexity. ◊ The set of allowed phase factors is written as, where W is the number of allowed phase factors. ◊ In addition, we can set without any loss of performance. ◊ Hence, sets of phase factors are searched to find the optimum set of phase factors. ◊ PTS needs M IDFT operations for each data block, and the number of required side information bits is.

23 PAPR reduction performance of PTS ◊ N = 256, L = 4, 16-QAM, exhausted research for. W=2 means [+1,-1], W=4 means [+1, -1, +1j, -1j].

◊ In this technique, some of the outer signal constellation points in the data block are dynamically extended toward the outside of the original constellation such that the PAPR of the data block is reduced. 24 Active Constellation Extension (ACE) QPSK16-QAM

Active Constellation Extension (ACE) PAPR 25 clipping

◊ N = 256, L = 4, QPSK, A = 4.86 dB. PAPR reduction performance of ACE PAPR 26

27 Tone Reservation (TR) ◊ The transmitter reserves a small number of unused subcarriers. These subcarriers are referred to as peak reduction carriers (PRCs). ◊ Since PRCs do not carry data, this increment induces a severe degradation of system’s power efficiency. ◊ In general, there are two approaches to reduce the PAPR in the TR technique. ◊ The first is to select the PRC indices for the TR technique to be used in reducing the PAPR. ◊ The second is to design the proper values on these PRCs to generate an optimal peak-canceling signal that minimizes the PAPR of a transmitted OFDM signal.

28 Tone Reservation (TR)

◊ [1] S. H. Han and J. H. Lee, “An overview of peak-to-average power ratio reduction techniques for multicarrier transmission,” IEEE Wireless Commun., vol. 12, pp , Apr ◊ [2] T. Jiang and Y. Wu, “An overview: peak-to-average power ratio reduction techniques for OFDM signals,” IEEE Trans. Broadcast., vol. 54, no. 2, pp , Jun ◊ [3] J. Armstrong, “Peak-to-average reduction for OFDM by repeated clipping and frequency domain filtering,” IET Electron. Lett., vol. 38, no. 5, pp. 246–247, Feb ◊ [4] X. Li and L. J. Cimini, “Effects of clipping and filtering on the performance of OFDM,” IEEE Commun. Lett., vol. 2, no. 5, pp. 131–133, May ◊ [5] X. Huang, J. H. Lu, J. L. Zheng, K. B. Letaief, and J. Gu, “Companding transform for reduction in Peak-to-Average power ratio of OFDM signals,” IEEE Trans. Wireless Commun., vol. 3, no. 6, pp. 2030–2039, Nov ◊ [6] T. Jiang and G. Zhu, “Nonlinear companding transform for reducing peak-to-average power ratio of OFDM signals,” IEEE Trans. Broadcast., vol. 50, no. 3, pp. 342–346, Sep ◊ [7] S. S. Yoo, S. Yoon, S. Y. Kim, and I. Song, “A novel PAPR reduction scheme for OFDM systems: selective mapping of partial tones (SMOPT),” IEEE Trans. Consum. Electron., vol. 52, no. 1, pp. 40– 43, Feb ◊ [8] M. Breiling, S. H. Muller, and J. B. Huber, “SLM peak-power reduction with explicit side information,” IEEE Commun. Lett., vol. 5, no. 6, pp. 239–241, June Reference

◊ [9] S. G. Kang, J. G. Kim, and E. K. Joo, “A novel subblock partition scheme for partial transmit sequence OFDM,” IEEE Trans. Commun., vol. 45, no. 9, pp. 333–338, Sep ◊ [10] A. Ghassemi and T. A. Gulliver, “A low-complexity PTS-based radix FFT method for PAPR reduction in OFDM system,” IEEE Trans. Signal Process., vol. 56, no. 3, pp. 1161–1166, Mar ◊ [11] B. S. Krongold and D. L. Jones, “PAR reduction in OFDM via active constellation extension,” IEEE Trans. Broadcast., vol. 49, no. 3, pp. 258–268, Sep ◊ [12] A. Saul, “Generalized active constellation extension for peak reduction in OFDM systems,” in Proc IEEE International Conference on. Communications (IEEE ICC 2005), Seoul, Korea, Sep. 2005, vol. 3, pp. 1974–1979. ◊ [13] J. Tellado, “Peak to average power reduction for multicarrier modulation,” Ph.D. dissertation, Stanford University, ◊ [14] L. Wang and C. Tellambura, “Analysis of clipping noise and tone-reservation algorithms for peak reduction in OFDM systems,” IEEE Trans. Veh. Technol., vol. 57, no. 3, pp. 1675–1694, May ◊ [15] C. Tellambura, “Computation of the continue-time PAR of an OFDM signal with BPSK subcarriers,” IEEE Commun. Lett., vol. 5, no. 5, pp. 185–187, May Reference