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2021

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Bala, Diponkor

Study the Performance of Capacity for SISO, SIMO, MISO and MIMO in Wireless Communication

Abstract Views :404 | PDF Views:0

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

Source

Journal of Network and Information Security, Vol 8, No 1&2 (2020), Pagination: 01-06

Abstract

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.

Full Text

References

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Performance Analysis of Zero Forcing and MMSE Equalizer on MIMO System in Wireless Channel

Abstract Views :312 | PDF Views:0

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

Source

Journal of Network and Information Security, Vol 8, No 1&2 (2020), Pagination: 19-25

Abstract

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.

Full Text

References

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Analysis the Performance of MIMO-OFDM for Various Modulation Techniques over AWGN, Rayleigh Fading and Rician Fading Channel

Abstract Views :121 | PDF Views:0

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

Source

Journal of Network and Information Security, Vol 9, No 2 (2021), Pagination: 1-8

Abstract

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.

Full Text

References

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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.

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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 :184 | PDF Views:0

Authors

Diponkor Bala ¹, Md. Shamim Hossain ¹, Md. Ibrahim Abdullah ², 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, IN

Source

Journal of Network and Information Security, Vol 10, No 1 (2021), Pagination: 1-5

Abstract

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.

Full Text

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