View of PERFORMANCE ANALYSIS OF UFMC BASED WIRELESS COMMUNICATION FOR 5G TECHNOLOGIES WITH CONVOLUTION CODING TECHNIQUE

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ACCENT JOURNAL OF ECONOMICS ECOLOGY & ENGINEERING

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Vol.03, Issue 09, Conference (IC-RASEM) Special Issue 01, September 2018 Available Online: www.ajeee.co.in/index.php/AJEEE

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PERFORMANCEANALYSISOFUFMCBASEDWIRELESSCOMMUNICATIONFOR5G TECHNOLOGIESWITHCONVOLUTIONCODINGTECHNIQUE

DEVENDRA SINGH MANDLOI A.,SUMIT SUGANDHI B. AND RAJENDRA CHOUHAN C.

Abstract— The 5 G wireless communication system is a current area for researcher to perform many new things to evaluate and enhance the performance. After a huge success of the OFDM system in 3 G and 4 G wireless system, there is modification is required for 5 G wireless communication system due to high data rate and mobility of receiver. In these paper, universal filtered multicarrier (UFMC) modulation techniques has simulated for different parameters of 5 G wireless communication system.

INDEX TERMS—5G WIRELESS COMMUNICATION SYSTEM,OFDM,UFMC ETC. 1.INTRODUCTION

The next generation communication systems known as 5G have to support some requirement such as low latency communication or faster communication showed in Figure 1 [1]. Because of worse spectral behavior of conventional Orthogonal Frequency Division Multiplexing (OFDM), it obtains a more variable designation of the available time frequency resources is not feasible. So, new approximations or different OFDM derivations are required such as windowed OFDM and Universal Filtered Multi-Carrier (UFMC) [2].

Fig. 1. Wireless communication system Some basic issues that OFDM has is that it is highly sensitive to carrier frequency offset (CFO) and requires strict synchronization. CFO in OFDM occurs due to inaccuracies of local oscillators and Doppler Effect on the receiver side. The carrier frequency of the transmitter does not match at the receiver and hence the received symbols undergo time-variant phase rotation. Figure shows the block diagram of OFDM architecture.

OFDM is the most prominent and widely used multicarrier modulation technology for broadband communication systems. It is a special form of frequency division

multiplexing (FDM). The attraction in OFDM systems is because of its simple and efficient architecture. Moreover, the fast fourier transform (FFT) and Inverse fast fourier transform (IFFT) based modulation and demodulation makes its implementation very simple. The scalar equalization at the receiver side and high spectral efficiency by overlapping the half sub-carrier spectra makes it even more attractive for modern communication systems. One of the main drawbacks due to which OFDM rules out for future communication networks is its high side lobe level and inter carrier interference (ICI).

2.RELATED WORK

The many researchers have been done in field of UFMC and OFDM problem some of the work is described in this paper.

YunlongCaiet.al, study in this paper, the present fifth generation support wireless network various challengesneous traffic and users and new modulation technique being developed meet the changing demand. This paper research space is ever increasing, more important to analyze the various approaches of the most promising modulation and MA technique for fift generation network. Non-orthogonal MA is another promising approach that marks a deviation from the previous generations of wireless networks. By utilizing non- orthogonality, we have convincingly shown that 5G networks will be able to provide enhanced throughput and massive connectivity with improved spectral efficiency [1].

Waleed Shahjehan, et.al, in this paper In this paper to performance UFMC MIMO using different antenna configuration and modulation.The multiple input multiple

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2 output (MIMO) system is implemented with universal filtered multicarrier (UFMC) to increase its efficiency in order to achieve even higher data rates with reduced bit error rate (BER).The MIMO systems implementation can enhance the system performance significantly and the future requirements of fifth generation can be achieved by combining the UFMC and MIMO together to get the desired modulation scheme and antenna configuration to make system more reliable and economical [2].

4. ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING (OFDM)

OFDM is an access technique which is consideredthe most efficient access technique for the wireless technologies. It is a multicarrier transmission scheme which divides the bandwidth into different sub- channels known as subcarriers so as to multiplex in both time and frequency domain. In OFDM the sub-carriers are spaced at Δf = 1/TSymbolwhich is known as orthogonality. The fig 2 shows the orthogonality in OFDM.

Fig. 2. OFDM system

First of all, the serial binary data are divided into several parallel subcarriers and modulated there by using independent orthogonal subcarrier frequencies.

Important in an OFDM system is the orthogonality between the subcarriers so that the signals at the receiver side can be separated again. Two signals xk and xl are referred to as orthogonal according to, if it is satisfied:

3. UNIVERSAL FILTERED

MULTICARRIER (UFMC) BASED COMMUNICATION SYSTEM

The system model of UFMC is shown in Fig.

3.

Fig. 3. System model of UFMC [3]

B sub-bands. Each sub-band can be

allocated with NB consecutive subcarriers and the subband may correspond to Physical Resource Block (PRB) in LTE. The total number of subcarriers is N. An N-point Inverse Discrete Fourier Transformation (IDFT) operation is performed for every subband i to transform the frequency domain signal into time domain. Data symbols are modulated in the allocated subcarrier positions for sub-band i and zeros are padded in frequency domain in the unallocated subcarrier positions to perform IDFT. Thus, the output signal after IDFT is N. Then, the output signal xi is filtered by a FIR-filter fi with the length of L. Hence, the output signal of the subband i am given by

𝑦𝑖(𝑘) = 𝑥_𝑖∗ 𝑓𝑖= ∑ 𝑓𝑖(𝑙)𝑥_𝑖(𝑘 − 𝑙)

𝐿−1

𝑖=0

𝑘

= 0, … … , 𝑁 + 𝐿 − 1.

That results in a symbol length of N + L − 1, due to the linear convolution between xi and fi . The purpose of introducing a FIR filter to filter each subband is to reduce the out-ofband radiation. It is well known that the rectangular symbol shape in OFDM is neither well localized in time nor in frequency.

The BER performance of the UFMC is further enhanced by the error correcting codes. In this paper, convolution error correcting codes are proposed for error detection and correction.

5. SIMULATION AND RESULT

To study the effect of UFMC sub-band filters and estimation errors of frequent and time shifts that occur in a multipath channel, to investigate its influence on interference resistance of the UFMC system in comparison with OFDM, we developed a simulation model in the computer modelling environment. The simulation parameters

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3 are given in Table 1.

TABLE I

SYSTEM SIMULATION PARAMETERS

S.no. Parameter Value

1 Mapping technique QAM-64 2 Coding technique Convolution

encoding and Viterbi detector

3 No. of subband 10

4 No. of subcarrier 20

5 SNR range 0 to 25

6 Performance

parameters BER,PAPR The power spectral density for UFMC with respect to normalized frequency is shown in the FIG 4. The power spectral density of the OFDM system is nearly constant in the given band which is split into no. of band.

Fig. 4. Power spectral density of UFMC The PAPR of the transmission is measured as 8.65 dB without convolution coding and 8.61 dB with coding technique. The convolution coding technique shows almost nil effect on PAPR for random data transmission.

The communication channel produces the distortion in the transmitted signal which is equalized during the reception of the UFMC receptor. The cancellation diagram for transmitted signal through channel and after equalization is shown in figure 5.

Fig. 5. UFMC signal at reception end without and with equalization

The distortion in the transmitted signal depends on the SNR which is govern by white Gaussian noise and signal strength.

As distance between transmitter and receiver is increases SNR will goes down and it will increase the transmission error. The BER performance for the above stated simulation system is shown in figure 6

Fig. 6. BER performance of UFMC communication with and without

convolution codes

The convolution coding technique shows betterment for SNR > 8 dB.

6CONCLUSION

The convolution coding based UFMC transmission has coded in the software and tested for random transmission. The effect of error correcting code is showing the betterment of BER for higher SNR values.

However the correcting code introduces the extra bits for transmission hence the data transmission rate is effectively reduced. One has to choose the use of the modulation order and error corrector very carefully to fulfill the user requirement of high speed and higher range of data transmission.

REFERENCES

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2. Waleed Shahjehan, Mohammad Haseeb Zafar, Irshad Hussain, Kashif Ahmad, Nasar Iqbal, Farhan Altaf, “Universal Filtered Multicarrier for 5G”, International Journal of Engineering Works, Vol. 4, Issue 7, PP. 136-139, July 2017.

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