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Comparative Study of PAPR Reduction Coding Techniques

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Comparative Study of PAPR Reduction

Coding Techniques

Amritpal Singh

Department of Electronics and Communication Engineering, Guru Nanak Dev University, Regional Campus Gurdaspur, Punjab, India

Harjit Singh

Department of Electronics and Communication Engineering, Guru Nanak Dev University, Regional Campus Gurdaspur, Punjab, India

Gurpreet Singh

Department of Electronics and Communication Engineering, Guru Nanak Dev University, Regional Campus Gurdaspur, Punjab, India

Abstract-There are many benefits of utilizing OFDM like robustness and high spectral efficiency against ISI but still there are some disadvantages. The main problem that arises in OFDM systems is high PAPR. There are many techniques available for reduction of PAPR like tone reservation (TR), clipping and filtering, partial transmit sequence (PTS), active constellation scheme, interleaving and selected mapping (SLM). Clipping and filtering are the easiest techniques but they are not suitable when large number of sub-carriers are present. The most common techniques used for PAPR reduction are PTS and SLM. PTS and SLM algorithms have achieved good performance in PAPR reduction..

Keywords:PAPR, OFDM, IFFT, ICI, PTS, SLM

I. INTRODUCTION

Recently, the interest for services of the multimedia information has become radically which drive us in the time of 4th generation which is a system of wireless communication. This necessity of service of multimedia in which there are large number of users and also having bounded spectrum, advanced technologies of digital wireless communication system which are having efficient bandwidth and also robust to environment of multipath channel called multicarrier communication system. The modern digital multicarrier wireless communication system give data rate at high speed at least cost for numerous users and also with high reliability. In system of single carrier, single carrier possess the whole bandwidth of communication while in system of multicarrier, the available bandwidth of communication is partitioned by numerous sub-carriers. So, that every sub-carrier has smaller bandwidth as contrasted with system of single carrier’s bandwidth. These wonderful features of technique of multicarrier attract us to study Orthogonal Frequency Division Multiplexing (OFDM).[1] OFDM frames premise for all 4G wireless systems of communication because of its huge limit regarding number of subcarriers, high rate of data in overabundance of 100 Mbps and omnipresent scope with high mobility.

1.1 Orthogonal frequency division multiplexing

The necessity of high data rate draws the great attention in multi-carrier system. It should be capable to operate smoothly in environment of high carrier frequency, high data transmission rate and mobility. The studies have shown that OFDM fulfil the multicarrier system necessities. OFDM is a multi-carrier modulation (MCM) technique in which complex data symbols (i.e, BPSK, QPSK, QAM, MPSK etc.) are transmitted in parallel after modulating them over orthogonal sub-carrier. In single carrier (SC) system, one complex data is transmitted using one carrier and in this parallel transmission, complex data is transmitted over sub-carrier. Here the effective data rate of the system is same as of SC system. The parallel transmission increases the time period of symbol and the comparative amount of separation in time caused by multipath delay decreases.

In OFDM system, the orthogonality among sub-carriers is maintained by using inverse Fast Fourier Transform (IFFT) as shown in figure. A guard band is inserted between successive OFDM symbols. Insertion of guard band in OFDM symbols can be done by three methods- cyclic prefix, cyclic suffix and zero padding. By adding guard band in OFDM symbols, OFDM convert wideband frequency selective channel into collection of parallel

International Journal of Innovations in Engineering and Technology (IJIET)

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narrowband flat fading channel, one channel across each subcarrier. Thus it removes Inter-Symbol Interference (ISI). Due to features like high immune to multipath fading, high data transmission rate and requirement of less complex equalizer, OFDM has been exploited by many high data rate broadband wireless communication systems of present generation [1], [3].

1.2 Advantages of OFDM System

a) Saving of Bandwidth: The OFDM system is more bandwidth efficient in comparison to Frequency Division Multiplexing (FDM). in FDM technique numerous distinct carriers are spaced apart without overlapping where in OFDM system the carrier overlap each other due to orthogonality features. Due to overlapping of carriers the usage of bandwidth reduced drastically and also reduced the guard bands for the separation of sub-carriers.

b) Easy to implement modulation and demodulation: The challenging problem in a MCM system is to implement bank of modulators at the transmitter side and demodulators at the receiver side. The concept of “Data transmission” can be efficiently implemented using IFFT and FFT instead of bank of modulators at the transmitter side and demodulators at the receiver side respectively.

c) Easy Equalization: In a single carrier system, equalization make frequency channel flat but equalization amplify noise greatly in frequencies domain where channel response is poor. As a result, single carrier performance is affected due to high attenuation in some bands since all used frequencies are given equal importance. In OFDM system, wideband channel are divided into flat fading sub-channels, it reduces the equalization complexity in the receiver. So, it is possible to use maximum likelihood decoding with reasonable complexity.

d) Protection against Inter-symbol Interference: The extended symbol time (due to lower data rate) makes the signal less susceptible to effect the channel such as multipath propagation which introduces Inter Symbol Interference (ISI). The use of cyclic prefix between consecutive OFDM symbols makes it immune to ISI. Also, it is less sensitive to sample timing offsets than single carrier system.

1.3 Disadvantage of OFDM

a) High Peak to Average Ratio (PAPR) of transmitted signal: Presence of a large number of subcarriers with varying amplitude results in a high peak to average power ratio (PAPR) of the system with large dynamic range, which in turn effects on the efficiency of the RF amplifier.

b) Synchronization (timing and frequency) at the receiver: Symbol Timing Offset (STO) and Carrier Frequency Offset (CFO) effects on the performance of OFDM system. Correct timing between FFT and IFFT is required at the receiver side. OFDM system is highly sensitive to Doppler shifts which affect the carrier frequency offset, resulting in ICI.

II. LITERATURE SURVEY

Lots of research work has been done in the area of PAPR reduction. Many techniques have been proposed for the reduction of PAPR. Some important work in this area is as follows:

HomayounNikookar[10] et al. exhibited a novel arbitrary phase updating algorithm. The phase of every subcarrier is updated by an arbitrary increment till the PAPR goes underneath a certain level of threshold. The impact of diverse distributions for the increments of phase and the fluctuations of distributions on the mean and variance of PAPR and also the number of iterations to achieve the threshold are examined. In this strategy, after fruitful updating of the shifts of the phase, the level of threshold is reduced and the variance of the increments of the phase is altered. The results of the simulation of the algorithm show nearby agreement. The random phase updating algorithm with vigorous threshold provides the best results and also has the ability to reduce the mean power variance of signal of OFDM by a variable of 7 db. IrajHosseini[11], proposed a novel algorithm for reduction of PAPR of OFDM system, dependent on a scheme of companding. In this strategy, a compressing polynomial is attached to block of IFFT at the transmitter and at the receiver, the block of FFT is joined with a reverse extending function in which iterative Jacobi’s method is utilized for equations solving. The proposed technique involves low complexity at the transmitter in correlation with other algorithms of PAPR reduction. It likewise obliges less increment in SNR for the same BER contrasted with other methods of companding. A tradeoff between performance and complexity can set the order of polynomial compressing and the number of iterations for the algorithm proposed at the receiver.Jing Gao[12], authors proposed a selected mapping algorithm to conquer this problem. The frames of candidate OFDM transmitted on antennas are decayed to be real and imaginary part, therefore an adequately expansive number of alternative transmit signals are given, accordingly better performance of PAPR can be accomplished contrasted with traditional algorithm of SLM. Also, the computational complexity of proposed algorithm hold unaltered by utilizing the property of conjugate symmetry of real sequence. The results of simulation demonstrate that the proposed algorithm beats the traditional algorithm of SLM in MIMO-OFDM systems.

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Tao Jiang[13] concentrated on use of Partial Transmit Sequence (PTS) for reduction of PAPR. As traditional technique of PTS needs a comprehensive searching over all the combinations of the given phase factors, which brings about increase in the computational complexity exponentially with the number of the sub-blocks. As the process of looking of ideal phase factors can be categorized as combinatorial optimization with few constraints and variables, the author presented a novel scheme, which is dependent on the approach of non linear optimization, known as simulated annealing, to look for ideal combination of phase factors with low complexity. To approve the analytical results, extensive simulations have been carried out, demonstrating that the proposed schemes can accomplish considerable reduction in computational complexity while maintaining good reduction in PAPR.

2.1 PTS:In Partial Transmit Sequence, at first dividing of the data block into non-overlapping sub-blocks is carried out. After that, these sub-blocks are rotated with factors of rotation which are independent statistically. In this way, the information about the factor of rotation, which produces amplitude of lowest peak in the data of time domain, is transmitted to the receiver.[7] The block diagram of PTS is shown in Figure below:

Figure-1: Block diagram of PTS technique

2.2 SLM: The technique of selected mapping (SLM) for reduction of PAPR was proposed in 1996. In SLM, from an arrangement of candidate signals which are produced to present the similar information, the signal having lowest PAPR is chosen and transmitted.[6] The block diagram of SLM is shown below:

Figure-2: Block diagram of SLM technique.

III. CONCLUSION

For the enhancement of performance of PAPR, the technique of clipping is effective and simple. Yet it has the capability to bring out-of-band interferences and much disgracing of the performance of the BER of the system. The technique of coding can acquire a stable and simple performance of the system. Its main drawback is that in case the number of sub-carriers increments, system’s throughput will be considerably disgraced and also the efficiency of usage of the spectrum will be lowered. The work will be extended by simulating the above discussed coding techniques in MATLAB and finally efficient reduction will be achieved using variable parameters in order to optimize the cryptographic model.

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REFERENCES

[1] Abdul Wahab, A.A. and Ain, M.F. “Peak to average power ratio reduction using bandwidth efficiency increasing method in OFDM system”, IJRRAS, Vol. 6(1), pp.101-108, 2011.

[2] Abdul Wahab, A.A. and Ain, M.F. “Combination of selected mapping and statistical redistribution method for reducing peak to average power ratio in OFDM systems”, Am. J. Sci. Ind. Res., Vol. 1(2), pp. 314-319, 2010.

[3] S.B. Weinstein and P.M. Ebert, “Data Transmission by Frequency-Division Multiplexing Using the Discrete Fourier Transform,”

IEEE Transactions on Communication. Tech., vol. 19, pp. 628-634 October 1971.

[4] Ashraf Eltholth, A., Adel Mikhail, R., Elshirbini, A., MoawadMoawad, I. and Abdelfattah, A.I. “Peak-to-Average Power Ratio Reduction in OFDM Systems using Huffman Coding”, World Academy of Science, Engineering and Technology 43, PP.266-270, 2008.

[5] AsmaLatif and Nasi D. Gohar.“On the PAPR reduction properties of Hybrid QAM-FSK (HQFM) OFDM transiever”, Journal of Applied Sciences, pp. 1061-1066, 2008.

[6] Bguml, R.W., Fischer, R.F.H. and Huber, J.B. “Reducing the peak-to average power ratio of multicarrier modulation by selected mapping”, Electronics Letters, 24th October, Vol. 32, pp. 2056-2057,1996

[7] Boon KienKhoo, Stephane Y. Le Goff, Charalampos C. Tsimenidis, and Bayan S. Sharif. “OFDM PAPR reduction using selected mapping without side information”, 1-4244-0353-7/07, IEEE,2007

[8] Carole Devlin, Anding Zhu and Thomas J. Brazil, “PAPR reduction technique for OFDM signals using unused tones with phase information”, 978-1-4244-1708, IEEE, 2008.

[9] GondeSagar S, JawalkotiChaitanya B, RautPranoti, Ms. N.K. Bhanadari, “PAPR Reduction in OFDM Systems”, International Journal of Engineering and Computer Science, Vol. 3, Issue 4, April 2014.

[10] HomayounNikookar and Knut SverreLidsheim, “Random phase updating algorithm for OFDM transmission with low PAPR”, IEEE Transactions on Broadcasting, Vol. 48, No. 2, PP. 123 – 128, 2002 .

[11] IrajHosseini, Mohammad JavadOmidi, KeyvanKasiri, Alireza Sadri and Glenn Gulak, P. “PAPR reduction in OFDM systems using polynomial-based compressing and iterative expanding”, 142440469X, IEEE, 2006.

[12] Jing Gao, Jinkuan Wang and ZhibinXie, “Peak to average power ratio reduction for MIMO-OFDM systems with decomposed selected mapping”, International Journal of Information and Systems Sciences Vol. 3, No. 3-4, pp. 572-580, 2009.

[13] Tao Jiang, Weidong Xiang, Paul C Richardson, JinhuaGuo and Guangxi Zhu, “PAPR reduction of OFDM signals using partial transmit sequences with low computational complexity”, IEEE Transactions on Broadcasting, Vol. 53, No. 3, pp. 719-724,2007. [14] Chan-Tong Lam, David D. Falconer and Florence Danilo-Lemoine. “PAPR reduction using frequency domain multiplexed pilot

sequences”, 1525-3511, IEEE, 2007.

International Journal of Innovations in Engineering and Technology (IJIET)

Referências

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