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Hossain, Mohammad Alamgir
- Identification of Non-Cerebral Cyst:Zoonotic Taenia multiceps in Domestic Goat in Bangladesh
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Materials and Methods: Eight cyst samples were collected from 385 examined slaughtered goats during October 2015-September 2016 from three slaughterhouses in Chittagong City Corporation. Cysts were removed from the thigh muscle, and scolices were collected for light microscopic examination and molecular identification. The DNA was extracted and analyzed by polymerase chain reaction using 12S rRNA gene primers. Cyst samples were also preserved in 10% buffered formalin for histopathological study.
Results: T. multiceps non-cerebral cyst is 2.1% prevalent in goat in this area. Under light microscopic examination, scolex was found with four suckers and a rostellum with the double crown of 32 hooks and hooklets. Molecularly, all the samples were amplified with 12S rRNA gene fragments yielded 270 base pair amplicon. Zenker’s necrosis with focal to diffuse infiltration of lymphocytes and eosinophil was also found around the cyst wall in histopathological examination.
Conclusion: Although the non-cerebral form of the cysts produced by T. multiceps is genetically identical with the cerebral cyst, previously published data indicated that cerebral T. multiceps cyst is predominant in other parts of the world as well as in Bangladesh. This study showed that non-cerebral cyst is also prevalent in this country which is very important for public health concern. This study depicts an idea of non-cerebral form of zoonotic T. multiceps cyst which will be helpful in taenia cyst control and prevention.
Authors
Mohammad Omer Faruk
1,
A. M. A. M. Zonaed Siddiki
1,
Md. Shafiqul Islam
1,
Azizunnesa Rekha
2,
Sharmin Chowdhury
1,
Md. Masuduzzaman
1,
Mohammad Alamgir Hossain
1
Affiliations
1 Department of Pathology and Parasitology, Chittagong Veterinary and Animal Sciences University, Khulshi-4225, Chittagong, BD
2 Department of Medicine and Surgery, Chittagong Veterinary and Animal Sciences University, Khulshi-4225, Chittagong, BD
1 Department of Pathology and Parasitology, Chittagong Veterinary and Animal Sciences University, Khulshi-4225, Chittagong, BD
2 Department of Medicine and Surgery, Chittagong Veterinary and Animal Sciences University, Khulshi-4225, Chittagong, BD
Source
Veterinary World, Vol 10, No 10 (2017), Pagination: 1156-1160Abstract
Aim: This study was performed to identify the non-cerebral Taenia multiceps cyst through molecular phylogeny of the 12S rRNA gene.Materials and Methods: Eight cyst samples were collected from 385 examined slaughtered goats during October 2015-September 2016 from three slaughterhouses in Chittagong City Corporation. Cysts were removed from the thigh muscle, and scolices were collected for light microscopic examination and molecular identification. The DNA was extracted and analyzed by polymerase chain reaction using 12S rRNA gene primers. Cyst samples were also preserved in 10% buffered formalin for histopathological study.
Results: T. multiceps non-cerebral cyst is 2.1% prevalent in goat in this area. Under light microscopic examination, scolex was found with four suckers and a rostellum with the double crown of 32 hooks and hooklets. Molecularly, all the samples were amplified with 12S rRNA gene fragments yielded 270 base pair amplicon. Zenker’s necrosis with focal to diffuse infiltration of lymphocytes and eosinophil was also found around the cyst wall in histopathological examination.
Conclusion: Although the non-cerebral form of the cysts produced by T. multiceps is genetically identical with the cerebral cyst, previously published data indicated that cerebral T. multiceps cyst is predominant in other parts of the world as well as in Bangladesh. This study showed that non-cerebral cyst is also prevalent in this country which is very important for public health concern. This study depicts an idea of non-cerebral form of zoonotic T. multiceps cyst which will be helpful in taenia cyst control and prevention.
Keywords
12SrRNA, Bangladesh, Goat, Non-Cerebral Cyst, Phylogeny, Taenia multiceps.- Study the Performance of Capacity for SISO, SIMO, MISO and MIMO in Wireless Communication
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Authors
Diponkor Bala
1,
G. M. Waliullah
1,
Mst. Ashrafunnahar Hena
2,
Md. Ibrahim Abdullah
1,
Mohammad Alamgir Hossain
1
Affiliations
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
2 Department of Electrical and Electronic Engineering, Islamic University, Kushtia, BD
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
2 Department of Electrical and Electronic Engineering, Islamic University, Kushtia, BD
Source
Journal of Network and Information Security, Vol 8, No 1&2 (2020), Pagination: 01-06Abstract
Due to the rapid development of the wireless communication system, it is highly required a reliable system which can provide higher channel capacity and higher data transmission rates for the users. These are obtained by the Multiple Input Multiple Output (MIMO) systems because the MIMO systems allow the spatial diversity and spatial multiplexing technique due to its multiple antennas at both transmitter and receiver side. The aim of this paper is to discuss and show the capacity performance between SISO, SIMO, MISO and MIMO systems. In this paper, we will mainly be focused on the MIMO system due to its higher capacity and higher data transmission rates properties. For these properties of the MIMO systems, it will be perfectly suitable for modern communication technology.Keywords
Channel Capacity, MIMO System, MISO system, SIMO System, SISO System, Wireless Communication.References
- D. Tse, and P. Viswanath, Fundamentals of Wireless Communication, Cambridge University Press, USA, 2005.
- T. Rapaport, Wireless Communications: Principles and Practice (2nd ed.), Prentice Hall PTR, USA, 2001.
- A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications (1st ed.), Cambridge University Press, USA, 2008.
- S. M. Alamouti, “A simple transmit diversity technique for wireless communications,” In IEEE Journal on Selected Areas in Communications, vol. 16, no. 8, pp. 1451-1458, October 1998, doi: 10.1109/49.730453.
- A. D. Joshi, and H. H. Joshi, “Spatial diversity techniques for wireless communication - A comparative analysis,” International Journal of Latest Trends in Engineering and Technology, vol. 10, no. 3, pp. 93-97, May 2018. Available: https://www.ijltet.org/journal_details.php?id=932&j_id=4607
- A. Robertcalderbank, A. Constantinioles, A. Goldsmith, A. Paulraj, and H. Vincent Poor, Wireless Communication System, Cambridge University Press, 2007.
- F. Tramarin, S. Vitturi, M. Luvisotto, and A. Zanella, “The IEEE 802.11n wireless LAN for real-time industrial communication,” 2015 IEEE World Conference on Factory Communication Systems (WFCS), Palma de Mallorca, pp. 1-4, 2015, doi: 10.1109/WFCS.2015.7160568.
- A. Khan, and R. Vesilo, “A tutorial on SISO and MIMO channel capacities,” 2006.
- A. K. Sarangi, and A. Datta, “Capacity comparison of SISO, SIMO, MISO & MIMO systems,” 2018 Second International Conference on Computing Methodologies and Communication (ICCMC), pp. 798-801, Erode, 2018, doi: 10.1109/ICCMC.2018.8488147.
- K. Sengar, and N. Rani, “Study and capacity evaluation of SISO, MISO and MIMO RF wireless communication systems,” International Journal of Engineering Trends and Technology, vol. 9, no. 9, March 2014.
- A. F. Molisch, M. Z. Win, Y.-S. Choi, and J. H. Winters, “Capacity of MIMO systems with antenna selection,” In IEEE Transactions on Wireless Communications, vol. 4, no. 4, pp. 1759-1772, July 2005, doi: 10.1109/TWC.2005.850307.
- A. Goldsmith, S. A. Jafar, N. Jindal, and S. Vishwanath, “Capacity limits of MIMO channels,” In IEEE Journal on Selected Areas in Communications, vol. 21, no. 5, pp. 684-702, June 2003, doi: 10.1109/JSAC.2003.810294.
- S. Taruna, and I. Kaur, “Performance analysis of MIMO for various antenna configurations,” 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Chennai, 2013, pp. 90-93, doi: 10.1109/ICGCE.2013.6823406.
- M. Tan, and J. Chen, “Comparison and analysis of MIMO channel capacity,” 2007 International Conference on Wireless Communications, Networking and Mobile Computing, pp. 299-301, Shanghai, 2007, doi: 10.1109/WICOM.2007.81.
- Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM Wireless Communication with MATLAB, Wiley Publishing, 2010.
- T. K. Roy, “Capacity and performance analysis of Rayleigh Fading MIMO Channels using CSI at the transmitter side,” IJAR-CSIT, vol. 1, no. 3, July 2012.
- P. Rayi, and S. Chandra Ch, “Performance evaluation of channel capacity in MIMO system,” International Journal of Engineering Research and Applications (IJERA), vol. 1, no. 4, pp. 1871-1878, 2011.
- Performance Analysis of Zero Forcing and MMSE Equalizer on MIMO System in Wireless Channel
Abstract Views :318 |
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Authors
G. M. Waliullah
1,
Diponkor Bala
1,
Mst. Ashrafunnahar Hena
2,
Md. Ibrahim Abdullah
1,
Mohammad Alamgir Hossain
1
Affiliations
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
2 Department of Electrical and Electronic Engineering, Islamic University, Kushtia, BD
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
2 Department of Electrical and Electronic Engineering, Islamic University, Kushtia, BD
Source
Journal of Network and Information Security, Vol 8, No 1&2 (2020), Pagination: 19-25Abstract
In wireless communication research multiple communication antennas are one of the major contexts. At present wireless communication is moving fast and the best example is MIMO. Wireless transmission is suffering from fading and interference effects which may be combated with equalizer. As a result of fading and interference, it creates a problem for signal recovery in wireless communication. The MIMO system uses Multiple Transmit and Multiple Receive antennas which take advantages of multipath propagation during a high distraction environment. This paper analyses the performance of Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) equalizer for 2×2 and 4×4 MIMO wireless channels. By using MATLAB toolbox version 2015a simulation results can be got to the RF processing lab. The Bit Error Rate (BER) features for various communication antennas is simulated in the MATLAB toolbox and many merits and demerits of the system are discussed. The simulation results show that the equalizer based zero-forcing receiver is helpful for noise-free channel and is successful in removing ISI, but MMSE is an optimal choice than ZF in terms of BER characteristics.Keywords
ISI, Bit Error Rate (BER), BPSK, Maximal Ratio Combining (MRC), 2×2 MIMO channel, MIMO system, MMSE Equalizer, Signal to Noise Ratio (SNR), ZF Equalizer.References
- D. Gesbert, M. Shafi, D. Shiv, and P. J. Smith, “From theory to practice: An overview of MIMO space time coded wireless system,” IEEE Journal on Selected Areas in Communication, vol. 21, no. 3, pp. 281-301, 2003.
- X. Zhang, and S. Kung, “Capacity analysis for parallel and sequential MIMO equalizers,” IEEE Transactions on Signal Processing, vol. 51, pp. 2989-3002, 2003.
- I. E. Telatar, “Capacity of multi-antenna Gaussian channels,” European Transactions on Telecommunications, vol. 10, no. 6, pp. 585-595, November-December 1999.
- V. Tarokh, A. Naguib, N. Seshadri, and A. R. Calderbank, “Space-time codes for high data rate wireless communication: Performance criteria in the presence of channel estimation errors, mobility, and multiple paths,” IEEE Transactions on Communications, vol. 47, no. 2, pp. 199-207, 1999.
- J. Meiyan, J. Qian, Y. Li, G. Tan, and X. Li, “Comparison of multiuser MIMO systems with MF, ZF and MMSE receivers,” 2013 IEEE Third International Conference on Information Science and Technology (ICIST), 2013.
- T. Abdessalem, et al., “Performance analysis of ZF and MMSE equalizers for MIMO systems,” 7th International Conference on Design & Technology of Integrated Systems in the Nanoscale Era, IEEE, 2012.
- B. M. Hochwald, and T. L. Marzetta, “Unitary space-time modulation for multiple-antenna communication in Rayleigh flat fading,” IEEE Transactions on Information Theory, vol. 46, pp 543-564, March 2000.
- D. Malik, and D. Batra, “Comparison of various detection algorithms in a MIMO wireless communication receiver,” International Journal of Electronics and Computer Science Engineering, vol. 1, no. 3 pp. 1678-1685, 2012.
- A. J. Paulraj, D. Gore, R. Nabar, and H. Bolcskei, “An overview of MIMO communications – A key to gigabit wireless,” Proceedings of the IEEE, vol. 92, pp. 198-218, February 2004.
- J. Hoydis, C. Hoek, T. Wild, and S. ten Brink, “Channel measurements for large antenna arrays,” Proceedings of International Symposium on Wireless Communication Systems (ISWCS), pp. 811-815, August 2012.
- G. J. Foschini, D. Chizhik, M. Gans, C. Papadias, and R. A. Valenzuela, “Analysis and performance of some basic space-time architectures,” IEEE Journal on Selected Areas in Communications, vol. 21, pp. 303-320, April 2003.
- Y. Jiang, M. K. Varanasi, and J. Li, “Performance analysis of ZF and MMSE for MIMO systems: An in-depth of the high SNR regime,” IEEE Transactions on Information Theory, vol. 57, no. 4, April 2011.
- A. Kumar, and P. Vardhan, “Design, simulation & concept verification of 4×4, 8×8 MIMO with ZF, MMSE and BF detection schemes,” Electrical, Control and Communication Engineering, vol. 13, no. 1, pp. 69-74, 2017.
- N. Prasad, and M. K. Varanasi, “Analysis of decision feedback detection for MIMO Rayleigh fading channels and the optimization of rate and power allocations,” IEEE Transactions on Information Theory, vol. 50, pp. 1009-1025, June 2004.
- Simulation and Performance Analysis of OFDM System based on Non-Fading AWGN Channel
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Authors
Affiliations
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
2 Department of Computer Science and Engineering, Islamic University, Kushtia, IN
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
2 Department of Computer Science and Engineering, Islamic University, Kushtia, IN
Source
International Journal of Knowledge Based Computer System, Vol 10, No 1 (2022), Pagination: 1-9Abstract
With the development of 4G network technology, gradually 5G wireless communication technology has also been derived and has been studied in deeply. 5G technology has been developed with based on 4G technology to strengthen its advantages, discard its shortcomings, and obtain further breakthroughs in functions. Due to the development of 4G technology, communication services such as downloading and transmitting large-volume data are being accomplished at an enormous speed. Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier data transmission system that converts high-speed data streams into multiple parallel low-speed data streams by serial/parallel conversion, and then distributes them to sub channels on mutually orthogonal subcarriers of different frequencies for transmission. This technology has been recognized by the industry as the core technology of the new generation of wireless mobile communication systems. This paper mainly discusses the principle of OFDM-based LTE communication technology, and multi-channel simulation and analysis the performance of OFDM transmission system based on the MATLAB platform.Keywords
AWGN, LTE, OFDM, Wireless CommunicationReferences
- W. Stallings, Wireless Communications & Networks, 2nd ed. USA: Prentice-Hall, Inc., 2004.
- H. Viswanathan, and M. Weldon, “The past, present, and future of mobile communications,” Bell Labs Technical Journal, vol. 19, pp. 8-21, 2014, doi: 10.15325/ BLTJ.2014.2335491.
- Q. K. Ud Din Arshad, A. U. Kashif, and I. M. Quershi, “A review on the evolution of cellular technologies,” 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2019, pp. 989-993, doi: 10.1109/IBCAST.2019.8667173.
- Y. Li, and G. Cheng, “Fourth generation wireless communication network,” 2013 3rd International Conference on Consumer Electronics, Communications and Networks, 2013, pp. 312-315, doi: 10.1109/ CECNet.2013.6703334.
- R. Prasad, and S. Hara, “An overview of multi-carrier CDMA,” Proceedings of ISSSTA’95 International Symposium on Spread Spectrum Techniques and Applications, 1996, vol. 1, pp. 107-114, doi: 10.1109/ ISSSTA.1996.563752.
- S. B. Weinstein, “The history of orthogonal frequencydivision multiplexing [History of Communications],” IEEE Communications Magazine, vol. 47, no. 11, pp. 26-35, Nov. 2009, doi: 10.1109/MCOM.2009.5307460.
- H. Lian, R. Zhao, B. Hu, and H. Pang, “Simulation and analysis of OFDM communication system,” 2010 The 2nd International Conference on Industrial Mechatronics and Automation, 2010, pp. 677-680, doi: 10.1109/ICINDMA.2010.5538218.
- S. Coleri, M. Ergen, A. Puri, and A. Bahai, “Channel estimation techniques based on pilot arrangement in OFDM systems,” in IEEE Transactions on Broadcasting, vol. 48, no. 3, pp. 223-229, Sept. 2002, doi: 10.1109/ TBC.2002.804034.
- S. Weinstein, and P. Ebert, “Data transmission by frequency-division multiplexing using the discrete fourier transform,” IEEE Transactions on Communication Technology, vol. 19, no. 5, pp. 628-634, Oct. 1971, doi: 10.1109/TCOM.1971.1090705.
- T. Hwang, C. Yang, G. Wu, S. Li, and G. Ye Li, “OFDM and its wireless applications: A survey,” IEEE Transactions on Vehicular Technology, vol. 58, no. 4, pp. 1673-1694, May 2009, doi: 10.1109/ TVT.2008.2004555.
- Y. Wu, and W. Y. Zou, “Orthogonal frequency division multiplexing: A multi-carrier modulation scheme,” IEEE Transactions on Consumer Electronics, vol. 41, no. 3, pp. 392-399, Aug. 1995, doi: 10.1109/30.468055.
- A. R. James, R. S. Benjamin, S. John, T. M. Joseph, V. Mathai, and S. S. Pillai, “Channel estimation for OFDM systems,” 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies, 2011, pp. 587-591, doi: 10.1109/ICSCCN.2011.6024619.
- L. Gopal, and M. L. Sim, “Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels,” 2008 6th National Conference on Telecommunication Technologies and 2008 2nd Malaysia Conference on Photonics, 2008, pp. 300-304, doi: 10.1109/NCTT.2008.4814291.
- A. Mráz, and L. Pap, “General performance analysis of M-PSK and M-QAM wireless communications applied to OFDMA interference,” in 2010 Wireless Telecommunications Symposium (WTS), 2010, pp. 1-7, doi: 10.1109/WTS.2010.5479673.
- M. Batariere, K. Baum, and T. P. Krauss, “Cyclic prefix length analysis for 4G OFDM systems,” IEEE 60th Vehicular Technology Conference, 2004. VTC2004Fall. 2004, 2004, vol. 1, pp. 543-547, doi: 10.1109/ VETECF.2004.1400066.
- R. Prasad, OFDM for Wireless Communications Systems, Artech, 2004.
- L. M. Rajeswari, and S. K. Manocha, “Design of data adaptive IFFT/FFT block for OFDM system,” 2011
- Annual IEEE India Conference, 2011, pp. 1-5, doi:10.1109/INDCON.2011.6139435.
- H. Al-Ghaib, and R. Adhami, “On the digital image additive white Gaussian noise estimation,” 2014
- International Conference on Industrial Automation, Information and Communications Technology, 2014,
- pp. 90-96, doi: 10.1109/IAICT.2014.6922089.
- L. Galleani, “Time–frequency analysis of the impulse response,” IEEE Transactions on Signal Processing, vol. 67, no. 5, pp. 1280-1295, Mar. 2019, doi: 10.1109/TSP.2018.2890365
- Analysis the Performance of MIMO-OFDM for Various Modulation Techniques over AWGN, Rayleigh Fading and Rician Fading Channel
Abstract Views :127 |
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Authors
Diponkor Bala
1,
G. M. Waliullah
1,
Md. Hafizur Rahman
1,
Md. Ibrahim Abdullah
1,
Mohammad Alamgir Hossain
2
Affiliations
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
2 Department of Computer Science and Engineering, Islamic University, Kushtia,, BD
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
2 Department of Computer Science and Engineering, Islamic University, Kushtia,, BD
Source
Journal of Network and Information Security, Vol 9, No 2 (2021), Pagination: 1-8Abstract
Nowadays, we are living in the era of modern communication technology. The number of the mobile users is increasing tremendously day by day all over the world. Due to the increasing of the mobile users, the wireless communication systems are highly required a communication system that provides data transmissions rates and more reliability to the users. Multiple Input and Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is being considered to get those facilities. MIMO-OFDM has the ability to serve a large number of users with an enormous data transmission speed communication as well as utilizing the bandwidth efficiently. The multicarrier modulation technique is cap-able of reducing the inter symbol interference and multipath fading problems. In this paper, we mainly focused on analysis the performance of MIMO-OFDM systems and the performance of MIMO-OFDM has been measured in terms of the Bit Error Rate and Signal to Noise Ratio based on different channels such as- AWGN, Rayleigh fading, Rician fading and different modulation techniques such as- BPSK, QPSK, M-PSK, D-BPSK, D-QPSK, DPSK and QAM. All the simulations are performed by MATLAB framework.Keywords
BPSK, D-BPSK, DPSK, DQPSK, M-PSK, MIMO- OFDM, OFDM, QAM, QPSK.References
- T. Rappaport, Wireless Communications: Principles and Practice (2nd ed.). Prentice Hall PTR, USA, 2001.
- D. Tse, and P. Viswanath, Fundamentals of Wireless Communication. Cambridge University Press, USA, 2005.
- R. Prasad, OFDM for Wireless Communications Systems. Artech House, Boston, London, 2004.
- F. B. Frederiksen, and R. Prasad, “An overview of OFDM and related techniques towards development of future wireless multimedia communications,” Proceedings RAWCON 2002. 2002 IEEE Radio and Wireless Conference (Cat. No. 02EX573), Boston, MA, USA, 2002, pp. 19-22, doi: 10.1109/RAWCON.2002.1030107.
- T. Hwang, C. Yang, G. Wu, S. Li, and G. Y. Li, “OFDM and its wireless applications: A survey,” in IEEE Transactions on Vehicular Technology, vol. 58, no. 4, pp. 1673-1694, May 2009, doi: 10.1109/TVT.2008.2004555.
- A. Goldsmith, S. A. Jafar, N. Jindal, and S. Vishwanath, “Capacity limits of MIMO channels,” in IEEE Journal on Selected Areas in Communications, vol. 21, no. 5, pp. 684-702, Jun. 2003, doi: 10.1109/JSAC.2003.810294.
- A. Khan, and R. Vesilo, “A tutorial on SISO and MIMO channel capacities,” 2006.
- Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM Wireless Communication with MATLAB. Wiley Publishing, 2010.
- M. K. Wali, R. A. Fayadh, and D. Y. Al_taee, “Performance of AWGN and fading channels on wireless communication systems using several techniques,” 6, 2018.
- A. A. Giordano, and A. H. Levesque, “Digital communications BER performance in AWGN (BPSK in Fading),” in Modeling of Digital Communication Systems using SIMULINK, Wiley, 2015, pp. 119-140, doi: 10.1002/9781119009511.ch6.
- N. T. Awon, Md. A. Islam, Md. M. Rahman, and A. Z. M. Touhidul Islam, “Effect of AWGN & fading (Raleigh & Rician) channels on BER performance of a WiMAX communication system,” International Journal of Computer Science and Information Security, vol. 10, no. 8, pp. 11-17, 2012.
- “Techniques,” in Digital Video Broadcasting (DVB). Springer, Berlin, Heidelberg. Available: https://doi.org/10.1007/978-3-662-04562-6_7
- G. S. Kishore, and H. Rallapalli, “Performance assessment of M-ary ASK, FSK, PSK, QAM and FQAM in AWGN channel,” 2019 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2019, pp. 0273-0277, doi: 10.1109/ICCSP.2019.8697922.
- A. Babu, and K. Rao, “Evaluation of BER for AWGN, Rayleigh and Rician fading channels under various modulation schemes,” International Journal of Computer Applications, vol. 26, pp. 23-28, 2011, doi: 10.5120/3132-4317.
- M. M. Madankar, and P. S. Ashtankar, “Performance analysis of BPSK modulation scheme for different channel conditions,” 2016 IEEE Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, 2016, pp. 1-5, doi: 10.1109/SCEECS.2016.7509290.
- B. Hu, and N. C. Beaulieu, “Performance of an ultra-wideband communication system in the presence of narrowband BPSK- and QPSK-modulated OFDM interference,” in IEEE Transactions on Communications, vol. 54, no. 10, pp. 1720-1724, Oct. 2006, doi: 10.1109/TCOMM.2006.881338.
- A. Kansal, L. Kansal, and K. Singh, “Performance analysis of MIMO-OFDM system using QOSTBC code structure for M-QAM,” Canadian Journal on Signal Processing, vol. 2, pp. 4-15, 2011.
- S. O. Ajose, R. A. Bakare, and A. L. Imoize, “BER comparison of different modulation schemes over AWGN and Rayleigh fading channels for MIMO-OFDM system,” International Journal of Communication Networks and Distributed Systems, vol. 18, no. 2, p. 129, 2017, doi: 10.1504/IJCNDS.2017.082102.
- P. Bisht, M. Shukla, and S. Mishra, “M-ARY PSK scheme in cellular environment,” International Journal of Computer Applications, vol. 99, pp. 20-24, 2014, doi: 10.5120/17426-8279.
- S. E. Mirnia, A. Zarei, S. D. Emami, S. W. Harun, H. Arof, H. Ahmad, and H. M. H. Shalaby, “Proposal and performance evaluation of an efficient RZ-DQPSK modulation scheme in all-optical OFDM transmission systems,” in Journal of Optical Communications and Networking, IEEE/OSA, vol. 5, no. 9, pp. 932-944, 2013.
- D. Bala, G. M. Waliullah, Mst. A. Hena, Md. I. Abdullah, and Md. A. Hossain, “Study the performance of capacity for SISO, SIMO, MISO and MIMO in wireless communication,” Journal of Network and Information Security, vol. 8, no. 1-2, pp. 1-6, 2020.
- T. K. Roy, “Capacity and performance analysis of Rayleigh fading MIMO channels using CSI at the transmitter side,” IJAR-CSIT, vol. 1, no. 3, Jul. 2012.
- G. M. Waliullah, D. Bala, Mst. A. Hena, Md. I. Abdullah, and Md. A. Hossain, “Performance analysis of zero forcing and MMSE equalizer on MIMO system in wireless channel,” Journal of Network and Information Security, vol. 8, no. 1-2, pp. 19-25, 2020.
- Analysis the Performance of OFDM-MIMO Channel with Different Equalizers
Abstract Views :191 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
2 Department of Computer Science and Engineering, Islamic University, Kushtia, IN
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
2 Department of Computer Science and Engineering, Islamic University, Kushtia, IN
Source
Journal of Network and Information Security, Vol 10, No 1 (2021), Pagination: 1-5Abstract
The excellent efficiency, capacity, and dependability of todays wireless networks are concurrent to be achieved, and employing several communication methods antennas is an effective solution that has been extensively used. A communication system where both terminals are equipped with multi-antennas are referred to as MIMO systems, and when combined with OFDM technology are referred to as MIMO-OFDM. MIMO-OFDM has the ability to serve a large number of users with an enormous data transmission speed communication as well as utilizing the bandwidth efficiently. The aim of this simulation task explores three different equalization schemes in the MIMO flat fading channel, frequency-selective OFDM channel, and combined OFDM-MIMO wireless links on the bit error rate (BER) metric. Throughout the simulations, we modulate in 4-QAM (MIMO, OFDM-MIMO) and 16-QAM (OFDM) and observe BER performances for signal-to-noise ratio (SNR) up to 30. We find that given the specifications for OFDM as defined in IEEE 802.11a, precoding, and zero-forcing schemes in MIMO yield similar BER performances, while the MMSE scheme performs slightly worse at higher SNRs. Based on the equalization scheme, we assume perfect channel state information at the transmitter (CSIT) (for precoding) and the receiver (CSIR) (for zero-forcing and MMSE).Keywords
CSIR, CSIT, Equalization, MIMO, OFDM, OFDM-MIMO.References
- V. Yadav, L. Kumar, and P. Kumar, “Evolution and development of wireless communication system,” in 2019 International Conference on Computing, Power and Communication Technologies (GUCON), 2019, pp. 53-57.
- G. Bauch, and A. Alexiou, “MIMO technologies for the wireless future,” in 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, 2008, pp. 1-6, doi: 10.1109/PIMRC.2008.4699969.
- D. Bala, G. M. Waliullah, Mst. A. Hena, Md. I. Abdullah, and Mohd. A. Hossain, “Study the performance of capacity for SISO, SIMO, MISO and MIMO in wireless communication,” Journal of Network and Information Security, vol. 8, no. 1&2, pp. 1-6, 2020.
- D. Bala, Md. S. Alam, Md. N. Islam, Md. I. Abdullah, and Mohd. A. Hossain, “Analysis the performance of OFDM using BPSK, QPSK, 64-QAM, 128-QAM & 256-QAM modulation techniques,” Journal of Electrical Engineering, Electronics, Control and Computer Science, vol. 7, no. 24, pp. 31-38, 2021.
- W. Kabir, “Orthogonal frequency division multiplexing (OFDM),” in 2008 China-Japan Joint Microwave Conference, 2008, pp. 178-184, doi: 10.1109/CJMW.2008.4772401.
- A. B. Idris, R. F. B. Rahim, and D. B. M. Ali, “The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network,” in 2006 International RF and Microwave Conference, 2006, pp. 97-100, doi: 10.1109/RFM.2006.331046.
- V. D. Nguyen, and H.-P. Kuchenbecker, “Intercarrier and intersymbol interference analysis of OFDM systems on time-invariant channels,” in The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, vol. 4, pp. 1482-1487, 2002, doi: 10.1109/PIMRC.2002.1045425.
- S. Paliwal, “Comparison of linear and non-linear equalizer using the Maltlab,” 2016.
- A. Bassou, A. Hasni, and A. M. Lakhdar, “UTTCM-based optimization of coded communication system,” American Journal of Computation, Communication and Control, vol. 1, no. 3, pp. 50-55, 2014.
- L. Hui, and W. W. Bo, “Performance analysis of network MIMO technology,” in 2009 15th Asia-Pacific Conference on Communications, 2009, pp. 234-236, doi: 10.1109/APCC.2009.5375649.
- A. Goldsmith. Wireless Communications. USA: Cambridge University Press, 2005.
- T. Hwang, C. Yang, G. Wu, S. Li, and G. Y. Li, “OFDM and its wireless applications: A survey,” in IEEE Transactions on Vehicular Technology, vol. 58, no. 4, pp. 1673-1694, May 2009, doi: 10.1109/TVT.2008.2004555.
- G. L. Stuber, J. R. Barry, S. W. McLaughlin, Y. Li, M. A. Ingram, and T. G. Pratt, “Broadband OFDM-MIMO wireless communications,” in Proceedings of the IEEE, vol. 92, no. 2, pp. 271-294, Feb. 2004.
- D. Bala, G. M. Waliullah, Md. H. Rahman, Md. I. Abdullah, and Mohd. A. Hossain, “Analysis the performance of MIMO-OFDM for various modulation techniques over AWGN, Rayleigh fading and Rician fading channel,” Journal of Network and Information Security, vol. 9, no. 2, pp. 1-8, 2021.
- S. A. Bhagwatkar, B. P. Patil, and B. S. Satpute, “Performance of MMSE channel equalization for MIMO OFDM system,” in 2016 International Conference on Computing Communication Control and Automation (ICCUBEA), 2016, pp. 1-3, doi: 10.1109/ICCUBEA.2016.7860083.