Performance Analysis of Different QAM Techniques Using Rician Fading Channel

1. International Journal of Trend in International Open Access Journal International Open Access Journal | www.ijtsrd.com International Journal of Trend in Scientific Research and Development (IJTSRD) Research and Development (IJTSRD) www.ijtsrd.com ISSN No: 2456 ISSN No: 2456 - 6470 | Volume - 3 | Issue – 1 | Nov 1 | Nov – Dec 2018 Performance Analysis Performance Analysis of Different QAM Techniques Using Rician Fading Channel Techniques Using Prerna Amlavad, Mukesh Ptidar Department of Electronics and Communication Lakshmi Narain College Prerna Amlavad, Mukesh Ptidar Department of Electronics and Communication, in College of Technology (LNCT), Indore, Madhya Pradesh Madhya Pradesh, India ABSTRACT Wireless communications is one of the most active areas of technology development of our time. This development is being driven primarily by the transformation of what has been largely a medium for supporting voice telephony into a medium for supporting other services, such as the transmission of video, images, text, and data. In this paper QAM modulation techniques used for calculation of SNR with MIMO system using fading channel. This work presents, a simulation toll MATLAB R2013a to study the performance analysis of Bit Error rate (BER) V/S Signal to Noise ratio (SNR). Key Words: BER, Fading Channel, MIMO System, QAM Modulation, SNR etc I. INTRODUCTION The wireless communication history, every generation of computers get advanced with new frequency bands, high data rates and non backwards compatible transmission technology. Here as we know 4G is a successor of 3G, i.e. 4G provides internet broadband in computer devices and other mobile devices .Some of the other features you use now are day it like High definition conferencing, video calling, accessing mobile internet, IP Telephony (Voice Over Internet Protocol [VIOP] it is the group of technologies which is used to deliver the voice communication through the i protocol). ireless communications is one of the most active areas of technology development of our time. This development is being driven primarily by the transformation of what has been largely a medium for supporting voice telephony into a medium for er services, such as the transmission of video, images, text, and data. In this paper QAM modulation techniques used for calculation of SNR with MIMO system using fading channel. This work presents, a simulation toll MATLAB R2013a to study analysis of Bit Error rate (BER) V/S BER, Fading Channel, MIMO System, Fig.1: WiMAX System 1: WiMAX System The wireless communication history, every generation The revisions of the IEEE 802.16 standard fall into two categories: ?Fixed WiMAX, also called provides for a fixed-line connection with an antenna mounted on a rooftop, like a TV antenna. Fixed WiMAX operates in the 2.5 GHz and 3.5 GHz frequency bands, which require a licence, as well as the licence-free 5.8 GHz band. ?Mobile WiMAX, also called allows mobile client machines to be connected to the Internet. Mobile WiMAX opens the door mobile phone use over IP, and even high mobile services. A.MIMO–OFDMA MIMO–OFDMA is a combination of downlink MIMO transmission and OFDM based multiple accesses. In multiple inputs multiple output (MIMO) communication System exploits the degree communication System exploits the degrees of frequency bands, The revisions of the IEEE 802.16 standard fall into high data rates and non backwards compatible transmission technology. Here as we know 4G is a successor of 3G, i.e. 4G provides internet broadband in computer devices and other mobile devices .Some of the other features you use now are days are parts of it like High definition , also called IEEE 802.16-2004, line connection with an antenna mounted on a rooftop, like a TV antenna. WiMAX operates in the 2.5 GHz and 3.5 GHz frequency bands, which require a licence, as free 5.8 GHz band. , also called IEEE 802.16e, allows mobile client machines to be connected to the Internet. Mobile WiMAX opens the doors to mobile phone use over IP, and even high-speed Mobile Mobile accessing mobile internet, TV, TV, Video Video (Voice Over Internet Protocol [VIOP] it which is used to deliver the voice communication through the internet OFDMA is a combination of downlink MIMO transmission and OFDM based multiple In multiple inputs multiple output (MIMO) @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018 Dec 2018 Page: 1123

2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 B.4-QAM The 4-state Quadrature amplitude modulation (4 QAM) is a QAM with M=2 voltage levels or possible states for the signal. QAM transmits k bits of information during each symbol period, where k=log2M=2 bits, that is M=2 symbol rate is half of the bit rate, producing a spectrally efficient transmission Quadrature amplitude modulation (16 QAM with M=16 voltage levels or possible states for the signal, that is, four I value Q values. QAM transmits k bits of information during each symbol period, where k=log2M=4 bits, that is M=2 consisting of two bits for I and two bits for Q. And the symbol rate is one fourth of the bit rate, producing a very spectrally efficient transmission. II. BLOCK DIAGRAM OF SIMULATION MODEL The simulation system is shown in figure below, the system will be developed the MIMO using MATLAB. The adaptive modulation controller is receiving signal number of transmission and number of receiver and SNR, in control OFDM transmission and OFDM receiver signal. shown in simulation & result section of the paper clarify the process shown in the system model. clarify the process shown in the system model. freedom introduced through multiple transmitted and received antenna to offer high spectral efficiency. In narrow band channels, information is available at the transmitter and instantaneous adaptation is possible, the capacity attaining distribution is found by using the well known water filling algorithm. freedom introduced through multiple transmitted and received antenna to offer high spectral efficiency. In narrow band channels, information is available at the transmitter and instantaneous adaptation is possible, the capacity aining distribution is found by using the well- state Quadrature amplitude modulation (4- QAM) is a QAM with M=2 voltage levels or possible states for the signal. QAM transmits k bits of information during each symbol period, where M=2 bits, that is M=2k. In this condition the half of the bit rate, producing a spectrally efficient transmission. Quadrature amplitude modulation (16-QAM) is a QAM with M=16 voltage levels or possible states for the signal, that is, four I value Q values. QAM when when channels channels state state The 16-state ion during each symbol M=4 bits, that is M=2k, consisting of two bits for I and two bits for Q. And the symbol rate is one fourth of the bit rate, producing a very spectrally efficient transmission. BLOCK DIAGRAM OF SIMULATION The simulation system is shown in figure below, the system will be developed the MIMO-OFDM system using MATLAB. The adaptive modulation controller is receiving signal number of transmission and number of receiver and SNR, in control OFDM OFDM receiver signal. The graphs shown in simulation & result section of the paper Fig. 2: MIMO-OFDMA System Model OFDMA System Model Fig. 3: System Block Diagram SIMULATION DIFFERENT DIFFERENT CHANNEL In this paper work consider following input parameters are shown in table 1. The different III. SIMULATION DIFFERENT RESULTS QAM QAM RESULTS FOR WITH WITH FOR modulation scheme are consider like (4-QAM, 16- with Rician Channel. The Carrier rate is ½ with FFT size 256 consider. The project work done by using simulation tool MATLAB modulation scheme are consider like (4 QAM and 64-QAM), with Rician Carrier rate is ½ with FFT size 256 consider. The project work done by using simulation R2013a Used. SYSTEM SYSTEM work consider following input 1. The different @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018 Dec 2018 Page: 1124

3. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 Table: Table: 1 The Simulation parameter Parameters Communication Channel Modulation Techniques IFFT (Input port size) Parameters Value Communication Channel Modulation Techniques IFFT (Input port size) CC Code Rate Radio Technology Used Scheme Model Calculation Parameters Simulation-Used Tool/Software Used Tool/Software Matlab (R2013a) Fading 4-QAM, 8-QAM and 16-QAM 256 1/2 OFDM Alamouti WiMAX 802.16e BER V/s SNR QAM Radio Technology Calculation Parameters Rician fading best describes a situation where a dominant non-fading, line-of-sight (LOS), component is present in addition to a number of indirect multipath signals. The fading envelope of this model is described by Rician probability density function described by Rician probability density function Rician fading best describes a situation where a The performance of simulation results are fairly equals to theoretical results. The four color lines indicate the different QAM levels. The used communication channel Rician with QAM show in (PDF). The performance of simulation results are fairly equals to theoretical results. The four color lines indicate the different QAM levels. The used communication channel Rician with QAM show in figure. 4. sight (LOS), component is present in addition to a number of indirect multipath signals. The fading envelope of this model is BER performance of QAM-OFDM over RICIAN channel BER performance of QAM-OFDM over RICIAN channel BER performance of QAM-OFDM over RICIAN channel 0 10 QAM-4 QAM-8 QAM-16 QAM-4 QAM-8 QAM-16 QAM-32 QAM-32 -1 10 -2 BER 10 -3 10 -4 10 -5 0 5 10 15 20 25 SNR Fig: 4: BER performance of different QAM BER performance of different QAM-OFDM over RICIAN over RICIAN IV. In this performance, we have used the scheme with communication Rician channel and different modulation techniques. The performance is displayed in figure 4 in terms of the BER verses SNR logarithmic plot. In the fig. 4 in this plot we analysis the 32-QAM, SNR is increased 4.1 dB on BER at 10?? as compared to 16-QAM and Modulation Techniques. RESULT ANALYSIS AND CONCLUSION RESULT ANALYSIS AND CONCLUSION In this performance, we have used the Alamouti communication Rician channel and different modulation techniques. The performance is in terms of the BER verses SNR References: 1.Mehdi Monshizadeh Naeeni and Sied Mehdi Fakhraie, “Modeling and Performance Evaluation of IEEE 802.22 Physical Layer”. Conference on Future Communication (ICFCC) ISBN: 978-1-4244-5821-9, 21 3 V3-62 - V3-66, INSPEC Accession Number : 11538274 Mehdi Ahmadi, Ahmadi, EhsanRohani, EhsanRohani, d Sied Mehdi Fakhraie, Pooya Pooya “Modeling and Performance Evaluation of IEEE 802.22 Physical Layer”. Conference on Future Communication (ICFCC)-2010, 2nd 2nd Computer Computer International International in this plot we analysis and and QAM, SNR is increased 4.1 dB on BER at Wuhan, 9, 21-24 May 2010, Vol. 66, INSPEC Accession Number AM and Modulation @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018 Dec 2018 Page: 1125

4. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 2.Y. Li, J. H. Winters and N. R. Sollenberger, “MIMO-OFDM for Wireless Communications Signal Detection with Estimation”, IEEE Communications, Vol. 50, Issue 9, pp 1471 2009. 3.S. Moghe and R. Upadhyay, “Comparison of SISO and MIMO Techniques in 802.11n Wireless Local Area Network”, International Conference on Emerging Trends in Electronic and Photonic Devices & Systems, pp 245-246, 2009 4.T.P. surekha, T. Ananthapadmanab Puttamadappa Members, IEEE, Modeling and Performance Analysis of QAM-OFDM System with AWGN Channel, ©2011 IEEE 5.Sai Krishna Borra; Suman Krishna Chaparala, performance evolution of OFDM system with Rayleigh, racian and AWGN channels, Volume 3, Issue 3, March 2013. 6.Ashutosh Kumar Mishra, Rashmi Pandey, A Review on Modeling and Performance of QAM OFDM System with AWGN Channel, Volume 4, Issue 3, March 2014. 7.Kapil Narwal 1 , Yagvalkya Sharma 2, Performance Comparison of Turbo Codes with other Forward Error Correcting Codes, Jaipur National University, Jaipur, ISSN: 2277 8.Y. Huang, B. Pei, and H. Zhang, “System Performance Research and Analysis of MIMO OFDM Based on Space International Conference on Intelligent Control and Information Processing, pp 414 9.P. S. Mundra, T. L. Singal and R. Kapur, “The Choice of A Digital Modulation, Schemes in A Mobile Radio System”, Technology Conference, Issue 5, pp 1 10.G. Ganesan and P. Stoica. 2001. “Space block codes: a maximum SNR approach”, IEEE Transactions on Information Theory, Vol. 47, Issue 4, May 2001, pp. 1650 11.A. Tarighat and A. H. Sayed, “MIMO OFDM receivers for systems with IQ imbalances,” IEEE Transactions on Signal Processing, Vol. 53, Issu 9, pp. 3583–3596, September 2005. 3596, September 2005. Y. Li, J. H. Winters and N. R. Sollenberger, Wireless Communications: Signal Detection with IEEE Communications, Vol. 50, Issue 9, pp 1471-1477, Kapil Narwal 1 , Yagvalkya Sharma 2, Performance Comparison of Turbo Codes with Error Correcting Codes, Jaipur National University, Jaipur, ISSN: 2277-1956. Enhanced Transaction Transaction Enhanced Channel Channel on Y. Huang, B. Pei, and H. Zhang, “System Performance Research and Analysis of MIMO OFDM Based on Space-Time Block Codes”, International Conference on Intelligent Control mation Processing, pp 414-417, 2010. S. Moghe and R. Upadhyay, “Comparison of SISO and MIMO Techniques in 802.11n Wireless Local Area Network”, International Conference on Emerging Trends in Electronic and Photonic P. S. Mundra, T. L. Singal and R. Kapur, “The Choice of A Digital Modulation, Schemes in A Mobile Radio System”, Technology Conference, Issue 5, pp 1-4,1993. 246, 2009 T.P. Puttamadappa Members, IEEE, Modeling and surekha, T. Ananthapadmanabha, C. IEEE IEEE Vehicular Vehicular OFDM System G. Ganesan and P. Stoica. 2001. “Space-time ock codes: a maximum SNR approach”, IEEE Transactions on Information Theory, Vol. 47, Issue 4, May 2001, pp. 1650–1656. Sai Krishna Borra; Suman Krishna Chaparala, performance evolution of OFDM system with Rayleigh, racian and AWGN channels, Volume 3, A. Tarighat and A. H. Sayed, “MIMO OFDM receivers for systems with IQ imbalances,” IEEE Transactions on Signal Processing, Vol. 53, Issue Ashutosh Kumar Mishra, Rashmi Pandey, A Review on Modeling and Performance of QAM- OFDM System with AWGN Channel, Volume 4, @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018 Dec 2018 Page: 1126