Implementation and Analysis of MIMO-OFDM Systems with Bit Loading Algorithm and Fast Walsh-Hadamard STBC System for ICI Reduction
Rajidi Sahithi1, T. V. Ramana2
1Rajidi Sahithi, Research Scholar, Assistant Professor, Department of ECE, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
2Dr. T. V. Ramana, Associate Professor, Department of ECE, Gitam University, Visakhapatnam (Andhra Pradesh), India.
Manuscript received on 28 February 2019 | Revised Manuscript received on 14 March 2019 | Manuscript Published on 17 March 2019 | PP: 175-181 | Volume-7 Issue-ICETESM18, March 2019 | Retrieval Number: ICETESM40|19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The collective usage of multiple transmit and receive antennas multi-carrier modulation that is MIMO-OFDM is a promising technique for attaining high data rates in the mobile environment and future wireless applications because of its ability to convert a frequency selective fading channel into several nearly flat fading channels. In this paper, we present a finite-granularity, bit loading algorithm at the transmitter side of an OFDM system and introducing of Fast Walsh-Hadamard transform STBC encoder under the presence of Rayleigh and AWGN channel. However the study has two major purposes, the former one is to investigate analytically the ICI constraint in the MIMO-OFDM and later is to determine the improvement for BER and the spectral efficiency with the combined usage of bit loading algorithm and Fast-Walsh-Hadamard transform STBC based MIMO-OFDM system. The simulation shows the proposed algorithm outperforms on other existed techniques. To investigate we considered the 2×2 transmit-receive antenna structure over uncorrelated Rayleigh fading channels by incorporating the Hadamard matrix, the performance of the system can be ominously improved in terms of BER and achieved low computation complexity. Correspondingly it affords better BER performance over other existing techniques. The simulations are carried out in the MATLAB environment.
Keywords: Cyclic Prefix, Inter Carrier Interference, MIMO, Orthogonal Frequency Division Multiplexing (OFDM), STBC.
Scope of the Article: Algorithm Engineering