(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-5 Issue-38 January-2018
Full-Text PDF
DOI:10.19101/IJATEE.2018.538001
Paper Title : Channel estimation in space time block coded MIMO–OFDM system: a review
Author Name : Rishi Choubey and V.B. Reddy
Abstract :

This paper explores the opportunity in the direction of channel estimation in space time block coded orthogonal frequency-division multiplexing (OFDM) and multiple inputs and multiple outputs (MIMO) system. In this paper several aspects have been analysed and considered for the study. The main parameters analysed are the modulation scheme, channel capacity, channel variations and bit error rate (BER) impact. This study explores various aspects in the previous literature including the method, results and gaps. This study provides a way to explore the opportunity to extend the research work in the direction of improving the performance based on the parameter discussed.

Keywords : OFDM, MIMO, BER, Channel capacity.
Cite this article : Rishi Choubey and V.B. Reddy, " Channel estimation in space time block coded MIMO–OFDM system: a review " , International Journal of Advanced Technology and Engineering Exploration (IJATEE), Volume-5, Issue-38, January-2018 ,pp.17-22.DOI:10.19101/IJATEE.2018.538001
References :
[1]Frederiksen FB, Prasad R. An overview of OFDM and related techniques towards development of future wireless multimedia communications. In radio and wireless conference 2002 (pp. 19-22). IEEE.
[Crossref] [Google Scholar]
[2]Bingham JA. Multicarrier modulation for data transmission: an idea whose time has come. IEEE Communications Magazine. 1990; 28(5):5-14.
[Crossref] [Google Scholar]
[3]Bhardwaj M, Gangwar A, Soni D. A review on OFDM: concept, scope & its applications. IOSR Journal of Mechanical and Civil Engineering. 2012; 1(1):7-11.
[Google Scholar]
[4]Hwang T, Yang C, Wu G, Li S, Li GY. OFDM and its wireless applications: a survey. IEEE Transactions on Vehicular Technology. 2009; 58(4):1673-94.
[Crossref] [Google Scholar]
[5]Xia P, Giannakis GB. Design and analysis of transmit-beamforming based on limited-rate feedback. IEEE Transactions on Signal Processing. 2006; 54(5):1853-63.
[Crossref] [Google Scholar]
[6]Gesbert D, Shafi M, Shiu DS, Smith PJ, Naguib A. From theory to practice: an overview of MIMO space-time coded wireless systems. IEEE Journal on Selected Areas in Communications. 2003; 21(3):281-302.
[Crossref] [Google Scholar]
[7]Paulraj AJ, Gore DA, Nabar RU, Bolcskei H. An overview of MIMO communications-a key to gigabit wireless. Proceedings of the IEEE. 2004; 92(2):198-218.
[Crossref] [Google Scholar]
[8]Gupta MV, Tiwari MR. Performance analysis and simulation result of MC-CDMA for AWGN channel and raleigh based on SNR/BER. International Journal of Advanced Computer Research. 2011; 1(1):13-7.
[Google Scholar]
[9]Rathore M, Tanwar P. Reduction of co-channel interference in transmit/receive diversity (TRD) in MIMO System. International Journal of Advanced Computer Research. 2012; 2(5):13-7.
[Google Scholar]
[10]Gupta P, Singh UP, Richhariya V. Analysis and comparison of the 4-PSK and 8-PSK STTC over Rayleigh fading channels for determining performance. International Journal of Advanced Computer Research. 2012; 2(5):140-6.
[Google Scholar]
[11]Zhou S, Wang Z, Giannakis GB. Quantifying the power loss when transmit beamforming relies on finite-rate feedback. IEEE Transactions on Wireless Communications. 2005; 4(4):1948-57.
[Crossref] [Google Scholar]
[12]Tarokh V, Seshadri N, Calderbank AR. Space-time codes for high data rate wireless communication: performance criterion and code construction. IEEE Transactions on Information Theory. 1998; 44(2):744-65.
[Crossref] [Google Scholar]
[13]Foschini GJ. Layered space‐time architecture for wireless communication in a fading environment when using multi‐element antennas. Bell Labs Technical Journal. 1996; 1(2):41-59.
[Crossref] [Google Scholar]
[14]Anitha K, Sujatha BK. FPGA implementation of high throughput digital QPSK modulator using verilog HDL. International Journal of Advanced Computer Research. 2014; 4(14):217-22.
[Google Scholar]
[15]Telatar E. Capacity of multiantenna Gaussian channels. Transactions on Emerging Telecommunications Technologies. 1999; 10(6):585-95.
[Crossref] [Google Scholar]
[16]Daksh JK, Mohan R, Sharma S. Performance analysis with space-time coding in MIMO-OFDM systems with multiple antennas. International Journal of Advanced Computer Research. 2013; 3(10):126-9.
[Google Scholar]
[17]Choubey R, Mohan R, Sharma S. A survey of BER performance of generalized MC DS-CDMA system. International Journal of Advanced Computer Research. 2013; 3(10):130-3.
[Google Scholar]
[18]Hakobyan G, Girma M, Li X, Tammireddy N, Yang B. Repeated symbols OFDM-MIMO radar at 24 GHz. In European radar conference 2016 (pp. 249-52). IEEE.
[Google Scholar]
[19]Dubey AK, Khandagre Y, Kushwaha GR, Hemnani K, Tiwari R, Shrivastava N. PAPR reduction in OFDM by using modernize SLM technique. Recent Trends in Wireless and Mobile Networks. 2011:397-405.
[Crossref] [Google Scholar]
[20]Hui CJ, Khatun S, Ali BM. Design of cross layer optimization of space-time block coded MIMO-OFDM system. In conference on research and development 2006 (pp. 16-21). IEEE.
[Crossref] [Google Scholar]
[21]Liu X, Bialkowski M. Investigations into the effect of spatial correlation on the performance of space-frequency block coded MIMO-OFDM system. In antennas and propagation society international symposium 2007 (pp. 2439-42). IEEE.
[Crossref] [Google Scholar]
[22]Yu X, Qiu R. Orthogonal space-time block codes in MIMO-OFDM cognitive radio communication system. IET international communication conference on wireless mobile and computing 2011 (pp. 107-11). IEEE.
[Crossref] [Google Scholar]
[23]Gupta B, Saini DS. BER analysis of space-frequency block coded MIMO-OFDM systems using different equalizers in quasi-static mobile radio channel. In international conference on communication systems and network technologies 2011 (pp. 520-4). IEEE.
[Crossref] [Google Scholar]
[24]Jie Z, Liang LI, Jin LI. Performance analysis of space time block code in MIMO-OFDM systems. In international conference on communication software and networks 2011 (pp. 13-6). IEEE.
[Crossref] [Google Scholar]
[25]Darsena D, Gelli G, Paura L, Verde F. Blind channel shortening for space-time-frequency block coded MIMO-OFDM systems. IEEE Transactions on Wireless Communications. 2012; 11(3):1022-33.
[Crossref] [Google Scholar]
[26]Xin Y, Yu X, Liu X, Chen X, Zhou T, Yin X. Discrete-rate adaptive modulation for MIMO-OFDM systems with space-frequency block code in Rayleigh fading channels. In spring congress on engineering and technology 2012 (pp. 1-4). IEEE.
[Crossref] [Google Scholar]
[27]Seyman MN, Ta?plnar N. Channel estimation based on neural network in space time block coded MIMO–OFDM system. Digital Signal Processing. 2013; 23(1):275-80.
[Crossref] [Google Scholar]
[28]Vakilian V, Frigon JF, Roy S. Space-frequency block code for MIMO-OFDM communication systems with reconfigurable antennas. In global communications conference 2013 (pp. 4221-5). IEEE.
[Crossref] [Google Scholar]
[29]Falahati A, Payami M. Performance of orthogonal space-time-frequency block codes over highly frequency selective fading channel for 2×1 and 2×2 MIMO-OFDM systems. In Iranian conference on electrical engineering 2014 (pp. 1662-7). IEEE.
[Crossref] [Google Scholar]
[30]Doi Y, Inamori M, Sanada Y. Complexity reduction in joint decoding of block coded signals in overloaded MIMO-OFDM system. IEICE Transactions on Communications. 2014; 97(4):905-14.
[Google Scholar]
[31]Shrivastava N, Trivedi A. Combined beamforming with space-time-frequency coding for MIMO–OFDM systems. AEU-International Journal of Electronics and Communications. 2015; 69(6):878-83.
[Crossref] [Google Scholar]
[32]Chern SJ, Huang WJ, Liu HI. The effects of mutual coupling for the space-time block coded MIMO-OFDM systems. In international symposium on intelligent signal processing and communication systems 2016 (pp. 1-6). IEEE.
[Crossref] [Google Scholar]
[33]Chen L, Fan Z, Huang J. Data hiding capacity of spatial domain bit replacement steganography in an MIMO-OFDM coding channel. AEU-International Journal of Electronics and Communications. 2016; 70(9):1295-303.
[Crossref] [Google Scholar]
[34]Sharma V, Kaur H. On BER evaluation of MIMO-OFDM incorporated wireless system. Optik-International Journal for Light and Electron Optics. 2016; 127(1):203-5.
[Crossref] [Google Scholar]
[35]Sezer AD, Gezici S. Optimal channel switching in multiuser systems under average capacity constraints. Digital Signal Processing. 2017; 63:145-54.
[Crossref] [Google Scholar]
[36]Li Z, Song L, Shi H. Approaching the capacity of k-user MIMO interference channel with interference counteraction scheme. Ad Hoc Networks. 2017; 58:286-91.
[Crossref] [Google Scholar]
[37]El Yahyaoui M, El Moussati A, El Zein G. On the capacity of MIMO-OFDM based diversity and spatial multiplexing in radio-over-fiber system. Optics Communications. 2017; 402:252-9.
[Crossref] [Google Scholar]
[38]Namitha AS, Sameer SM. A bandwidth efficient selective mapping technique for the PAPR reduction in spatial multiplexing MIMO-OFDM wireless communication system. Physical Communication. 2017; 25:128-38.
[Crossref] [Google Scholar]
[39]Qiao G, Babar Z, Ma L, Liu S, Wu J. MIMO-OFDM underwater acoustic communication systems–a review. Physical Communication. 2017;23: 56-64.
[Crossref] [Google Scholar]
[40]Chen YS, Song JH. Semiblind channel estimation for MIMO–OFDM systems. EURASIP Journal on Advances in Signal Processing. 2012;212:1-10.
[Crossref] [Google Scholar]
[41]Vidhya K, Shankar Kumar K. Channel estimation of MIMO-OFDM system using PSO and GA. Arabian Journal for Science & Engineering (Springer Science & Business Media BV). 2014; 39(5):4047-56.
[Crossref] [Google Scholar]
[42]Ngebani IM, Chuma JM, Zibani I, Matlotse E, Tsamaase K. Joint channel and phase noise estimation in MIMO-OFDM systems. In IOP conference series: materials science and engineering 2017 (pp. 1-4). IOP Publishing.
[Crossref] [Google Scholar]
[43]Daksh JK, Mohan R, Sharma S. A survey of performance analysis in MIMO-OFDM systems. International Journal of Advanced Computer Research. 2013; 3(10):91-4.
[Google Scholar]
[44]Verma P, Khare A. BER analysis on different channel based on OFDM and MIMO system. International Journal of Advanced Technology and Engineering Exploration. 2016; 3(18):62-6.
[Crossref] [Google Scholar]
[45]Rani SR, Anzija IR, Hameed LS. Conceptual study of OFDM-Coding, PAPR reduction, channel estimation. International Journal of Advanced Computer Research. 2014; 4(15):686-92.
[Google Scholar]
[46]Trivedi S, Raeen MS, Pawar SS. BER analysis of MIMO-OFDM system using BPSK modulation scheme. International Journal of Advanced Computer Research (IJACR). 2012; 2(5):219-26.
[Google Scholar]
[47]Irandegani M, Bagherizadeh M. Designing an asynchronous multi-channel media access control protocol based on service quality for wireless sensor networks. International Journal of Advanced Computer Research. 2017; 7(32):190-9.
[Crossref] [Google Scholar]
[48]Zaeem RM, Naeimi M, Arasteh ST, Chihi H. Optimal thresholds for discrete power levels using adaptive modulation in presence of imperfect channel state information. International Journal of Advanced Computer Research. 2017; 7(31):147-53.
[Crossref] [Google Scholar]
[49]Abdulwahed SH, Abass TM. 8× 10 Gbps optical system with DCF and EDFA for different channel spacing. International Journal of Advanced Computer Research. 2016; 6(24):100-6.
[Crossref] [Google Scholar]