IMPROVING STFBC MIMO OFDMA WITH CHANNEL ESTIMATION USING DFT AND DCT TECHNIQUE
DOI:
https://doi.org/10.11113/jt.v78.8743Keywords:
MIMO (Multiple Input Multiple Output)OFMDA (Orthogonal Frequency Division Multiple Access), STFBC (Space Time Frequency Block Code), DCT (Discrete Cosine Transform), DFT (Discrete Fourier Transform)Abstract
Higher demand in rapid data transmission makes the wireless technology become more popular in this new modern era. However due to the many users that want to have access in the same time, it can cause congested traffic and affect the data rate. OFDMA modulation scheme with combination of MIMO will support high data signal and become one of the best solutions that can fulfil everybody’s dream. These MIMO OFDMA system is based on the diversity coding and appropriate channel estimation in order to achieve maximum diversity order for each user and minimize the interference that have been generated during the transmission. Thus, in this paper in order to boost the overall system performances, Space Time Frequency Block Code (STFBC) and channel estimation technique involving Discrete Fourier Transform (DFT) and Discrete Cosine Transform (DCT) are going to be tested to compare their performance. The result states that when using STF block code, it will gain better performance in MIMO OFDMA system by producing lower bit error rate compare to existence DCT and DFT.
References
Dong-Hyun,H. and Hyoung-Kyu, S. 2015. Cooperative Diversity Scheme Using SPC in MIMO-OFDMA System. Electronics Letters. 51: 364-366.
Chavali ,N. K. and Kumar, B. K. 2015. A Reduced Complexity MIMO Decoder. In Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on.1-5.
Reethu,K. and Jeevitha, J. 2014. BER performance of OFDMA system based on DCT and phase modulation, in Electronicsand Communication Systems (ICECS),2014 International Conference. 1-5.
Siyue,S.,Chih-Wei,C.,Shin-Wei,C.,Hsiao-hwa, C. and Weixiao, M. 2015. Multiuser-Interference Free Space &2013; Time Spreading MIMO Systems Based on Three-Dimensional Complementry Codes. Systems Journal IEEE. 9: 45-57.
Idris, A.,Sabry, M.,Abdul Razak,N. I. and Yusof,A. L. 2013. Fast Time-Varying Channels In MIMO-OFDM Systemusing Different Diversity Technique. In Wireless Technology and Applications (ISWTA), 2013 IEEE Symposium. 138-141.
Kehrle Miranda, R.,Lustosa da Costa, J. P. C.,Marinho, M. A. M.,Pignaton de Freitas, E.,Freitas De Ramos, R.,Kefei, L.,Hing, C.,Baltar, L. and de Sousa, R. T. 2014. Evaluation of Space-Time-Frequency (STF)-Coded MIMO-OFDM Systems in Realistic Channel Models. In Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference. 310-315.
Mata, T.,Naito, K.,Boonsrimuang,P., Mori, K. and Kobayashi, H. (2013) Proposal of STBC MIMO-OFDM for ITSsystems. In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2013 10th International Conference. 1-6.
Femenias, G.,Riera-Palou, F. and Thompson, J. 2015 RobustScheduling and Resource Allocation in the Downlink ofSpatially Correlated MIMO-OFDMA Wireless Systemswith Imperfect CSIT. Vehicular Technology IEEE Transactions. 1-1.
OruthotaU. and Tirkkonen, O. 2015. Link Adaptation ofPrecoded MIMO-OFDMA System with me /QInterference. Communications. IEEE Transactions. 63: 780-790.
Xiao, X.,Xiaoming, T. and Jianhua, L. 2015. Energy-Efficient Resource Allocation in LTE-Based MIMO-OFDMA Systems with User Rate Constraints. Vehicular Technology, IEEE Transactions. 64: 185-197.
Faridi, M. S. 2015. Spatial Correlation Based MIMO Mode Switching in LTE Downlink System. In Computational Intelligence & Communication Technology (CICT). 2015 IEEE International Conference. 438-442.
Moretti, M.,Sanguinetti, L. and Xiaodong, W. 2015. ResourceAllocation for Power Minimization in the Downlink ofTHP-Based Spatial Multiplexing MIMO-OFDMASystems. Vehicular Technology IEEE Transactions. 64: 405-411.
Molteni, D.,Nicoli, M. and Spagnolini, U. 2011. Performanceof MIMO-OFDMA Systemsin Correlated FadingChannels and Non-Stationary Interference. Wireless Communications. IEEE Transactions.10: 1480-1494.
Mata, T.,Mori, K.,Kobayashi, H. and Boonsrimuang, P 2014. Channel estimation method for SFBC MIMO-OFDMbased wireless two-way relay system in time-varyingfading channel. In Communications and Electronics (ICCE). 2014 IEEE Fifth International Conference. 71-76.
Tanairat Mata,K. M. and Kobayashi, H.2014. Channel Estimation Method for SFBC MIMO-OFDM Based Wireless Two Way Relay System in Time Varying Fading Channel. IEEE Transactions on Wireless Communication.
Gupta,B. and Saini, D. S. 2012. A low complexity decoding scheme of STFBC MIMO-OFDM system. In Wireless Advanced (WiAd):176-180.
Kiayani, A. Q.,Anttila, L.,Zou, Y. and Valkama,M. 2015. Channel Estimation and Equalization in Multi-UserUplink OFDMA and SC-FDMA Systems under Transmitter RF Impairments. Vehicular Technology. IEEE Transactions. 1-1.
Zhang Jiangxin,W. Y. 2012. Complexity Analysis of ChannelEstimation Algorithm in MIMO-OFDMA System. Information Technology Journal. 11: 1157-1189.
Szu-Lin, S.,Yung-Chuan, L.,Chieh-Chih, H. and Chuang, G. C.H. (2010). A DFT-based channel estimation scheme for IEEE 802.16e OFDMA systems. In Advanced Communication Technology (ICACT), 2010 The 12thInternational Conference: 775-779.
Syed Mohammaed Sajid, L. C. R. 2013. DCT Based Improved OFDM Communication. International Journal of Engineering and Innovative Technology (IJEIT). 2. 2(12): 33-36.
Das, S.,Chakrabarti, I. and Das, S. S. Hardware implementation of Frequency Domain Link Adaptation for OFDMA based systems. In Communications (NCC).2015 Twenty First National Conference. 1-6.
Kamali, B.Bennett, R A. and Cox, D. C. 2012. Understanding WiMAX: An IEEE-802.16 Standard-Based Wireless Technology Potentials IEEE. 31: 23-27.
Rabbi, M. F. 2014. Basis Expansion Model (BEM) based MIMO-OFDMA channel capacity and estimation. In Electrical Information and Communication Technology (EICT). 2013 International Conference: 1-5.
Sahlin H. and Persson, A. 2011. Aspects of MIMO Channel Estimation for LTE Uplink. In Vehicular Technology Conference (VTC Fall). 2011 IEEE. 1-5.
Jumba, V.,Parsaeefard, S.,Derakhshani, M. and Le-Ngoc, T. 2015. Resource Provisioning in Wireless Virtualized Networks via Massive-MIMO. Wireless Communications Letters. IEEE. 1-1.
Mang, L. Youguang, Z. and Zixiang, X. 2013. Diversityanalysis for space-time-frequency (STF) coded MIMOsystem with a general correlation model. In Wireless Communications and Networking Conference (WCNC) 2013 IEEE: 2661-2666.
Yingshan, L.,Jun-Seo, L.,Kang-Me, L. and Heung-Gyoon, R. 2004. STFBC method for the ICI reduction in OFDM communication system. In Communications, 2004 and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceedings. The 2004 Joint Conference of the 10th Asia-Pacific Conference. 2: 927-931
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