Performance Evaluation of Spatial Multiplexing Using Different Modulation Techniques in MIMO System for Small and Large Scale Fading Channel

2019 ◽  
Vol 9 (2) ◽  
pp. 188-202 ◽  
Author(s):  
Akhil Gupta ◽  
Shiwani Dogra ◽  
Ishfaq Bashir Sofi
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Fading Channel ◽  
Large Scale ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Wireless Channel ◽  
Spatial Multiplexing ◽  
Wireless Medium ◽  
Wireless Channel Models

Background & Objective: In this paper, Multiple Input Multiple Output (MIMO) has been examined in wireless medium by utilizing Spatial Multiplexing procedure for the computation of the Bit Error Rate (BER). MIMO enhance the throughput in wireless medium. Spatial multiplexing builds the limit and link reliability of the MIMO frameworks. Methods: The BER execution of DPSK, Phase Shift Keying (PSK) and Quadrature Amplitude Modulation (QAM) in MIMO frameworks in Rayleigh multipath channel is analyzed. Zero forcing algorithms is utilized as a detection technique. A comparison of these modulations is additionally done in Rayleigh fading channel. Conclusion: The execution of transmission modes are assessed by figuring the likelihood of Bit Error Rate (BER) vs. the Signal Noise Ratio (SNR) under the every now and utilized four wireless channel models (Rayleigh, Dent, Jake’s and Okumura).

scholarly journals Performance Enhancement in SU and MU MIMO-OFDM Technique for Wireless Communication: A Review

2017 ◽  
Vol 7 (5) ◽  
pp. 2459
Author(s):  
S.N. Raut ◽  
R.M. Jalnekar
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Performance Enhancement ◽  
Mimo Systems ◽  
Mimo System ◽  
Wireless Systems ◽  
Multipath Fading ◽  
Data Rate ◽  
Spatial Multiplexing ◽  
Rician Fading

<p class="Default">The consistent demand for higher data rates and need to send giant volumes of data while not compromising the quality of communication has led the development of a new generations of wireless systems. But range and data rate limitations are there in wireless devices. In an attempt to beat these limitations, Multi Input Multi Output (MIMO) systems will be used which also increase diversity and improve the bit error rate (BER) performance of wireless systems. They additionally increase the channel capacity, increase the transmitted data rate through spatial multiplexing, and/or reduce interference from other users. MIMO systems therefore create a promising communication system because of their high transmission rates without additional bandwidth or transmit power and robustness against multipath fading. This paper provides the overview of Multiuser MIMO system. A detailed review on how to increase performance of system and reduce the bit error rate (BER) in different fading environment e.g. Rayleigh fading, Rician fading, Nakagami fading, composite fading.</p>

Performance of Modulation Techniques over AWGN and Multipath Fading Channels

2021 ◽  
Vol 107 ◽  
pp. 182-193
Author(s):  
Aliyu Ahmed ◽  
Adeyemi Abel Ajibesin
Keyword(s):  
Fading Channels ◽  
Bit Error Rate ◽  
Error Rate ◽  
Data Transfer ◽  
Additive White Gaussian Noise ◽  
Multipath Fading ◽  
Wireless Channel ◽  
Modulation Techniques ◽  
Shift Keying ◽  
Wireless Channel Models

The essence of my paper is to intricately look at data transfer with various modulation techniques over various communication channels. And run simulations to uncover the Bit Error Rate (BER) of various relevant scenarios. I will evaluate the performance of modulation techniques from Binary Phase Shift Keying (BPSK or 2PSK) to 16PSK and other modulation techniques with the consideration of time. Their performance will be evaluated and analyzed by calculating their probability of bit error rate (BER) versus the Energy per bit to spectral noise density (Eb/No) over various wireless channel models such as the Additive White Gaussian Noise (AWGN), Rayleigh channel and Ricean channel. My simulation results will graphically display the effective performance of each communication scenario; it will give us a better understanding of why performances of data communications techniques.

Selective Spanning With Fast Enumeration Algorithm for MIMO

2017 ◽  
Vol 6 (10) ◽  
pp. 79
Author(s):  
Sruthy L ◽  
L Bharathi ◽  
P Malini
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Mimo System ◽  
Additive White Gaussian Noise ◽  
Multiple Input Multiple Output ◽  
Symbol Error Rate ◽  
Enumeration Algorithm ◽  
High Data ◽  
Input Multiple Output ◽  
Output System

Multiple input multiple output system have been emerged technology to increase channel capacity and a technical breakthrough for high data rate wireless transmission. The main objective of MIMO system is to obtain low Symbol Error Rate (SER) and acceptable computational complexity. The MIMO system cannot be implemented due to complexity problem. The complexity of MIMO system can be reduced by using different detector algorithms. In this paper, the performance of MIMO system over AWGN (Additive White Gaussian Noise) with ZF, MMSE, SD, K best algorithm and SSFE are analyzed using different antenna configuration. The Bit Error Rate performance of all detectors are studied for 16QAM modulation technique using AWGN channel for the analysis purpose and their effect on BER (Bit Error Rate) have been presented.

scholarly journals Modulation-mode and power assignment in SVD-equalized MIMO systems

2008 ◽  
Vol 21 (2) ◽  
pp. 167-181 ◽  
Author(s):  
Andreas Ahrens ◽  
Christoph Lange
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Video Transmission ◽  
Mimo Systems ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Data Rate ◽  
Power Assignment ◽  
Transmit Power ◽  
Input Multiple Output

Existing bit loading and transmit power allocation techniques are often optimized for maintaining both a fixed transmit power and a fixed target bit-error rate while attempting to maximize the overall data-rate. However, delay-critical real-time interactive applications, such as voice or video transmission, may require a fixed data rate. In this contribution the number of activated layers in a multiple input multiple output (MIMO) system and the number of bits per symbol along with the appropriate allocation of the transmit power are jointly optimized under the constraint of a given fixed data throughput. Our results show that in order to achieve the best bit-error rate, not necessarily all MIMO layers have to be activated. .

Encoding and Decoding Schemes for MIMO System Combined with Convolutional Code

2014 ◽  
Vol 716-717 ◽  
pp. 1234-1238
Author(s):  
Jia Geng
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Mimo System ◽  
Convolutional Code ◽  
Spatial Multiplexing ◽  
Rate Performance ◽  
Coding Gain ◽  
First Case ◽  
Transmission Diversity

To introduce extra coding gain to Multi-input Multi-output (MIMO) system, how to combine MIMO and convolutional code (CC) was studied in two cases. In the first case, the type of MIMO was limited to pure spatial multiplexing. Then in the second case, the type was extended to the hybrid of spatial multiplexing and transmission diversity. Several encoding-decoding schemes were designed. For each scheme, its advantage and disadvantage were analyzed, and bit error rate performance was evaluated by simulation. Finally the scheme with best performance and acceptable complexity was elected from candidates for each case.

Recursive Spatial Multiplexing with Adaptive Interference Whitening

2017 ◽  
Vol 6 (2) ◽  
pp. 43-59
Author(s):  
Usama Y. Mohamad ◽  
Ibrahim A. Shah ◽  
Thomas Hunziker ◽  
Dirk H. Dahlhaus
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Mean Squared Error ◽  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Spatial Multiplexing ◽  
Rate Performance ◽  
Mimo Channels ◽  
Minimum Mean Squared Error ◽  
Input Multiple Output

This article describes how recursive spatial multiplexing (RSM) is a closed-loop multiple-input multiple-output (MIMO) structure for achieving the capacity offered by MIMO channels with a low-complexity detector. The authors investigate how to make RSM able to provide a bit-error rate performance, which is robust against different types and levels of interference. The interference arising from simultaneous transmission of information signals is taken into account in the RSM scheme at the receiver using a whitening approach. Here, the covariance matrix is estimated and used subsequently for defining the retransmission subspace identifier to be fed back to the transmitter. The performance of this adaptive RSM scheme is compared with standard linear detection schemes like zero-forcing and minimum mean-squared error receivers. It turns out that the adaptive interference whitening substantially improves the bit-error rate performance. Moreover, adaptive RSM leads to a performance being independent of the correlation coefficient of the interference signals.

Ergodic Capacity and Symbol Error Rate Analysis of a Wireless System with α-μ Composite Fading Channel

2021 ◽  
Author(s):  
Fereshteh salimian rizi ◽  
Abolfazl Falahati
Keyword(s):  
Error Rate ◽  
Fading Channel ◽  
Communication Systems ◽  
Large Scale ◽  
Scale Effects ◽  
Ergodic Capacity ◽  
Symbol Error Rate ◽  
Performance Criteria ◽  
Rate Analysis ◽  
New Generation

Abstract A composite α-µ/Lognormal fading channel is proposed with several channel performance criteria. This model considers the most effective occurrences in a fading channel, mainly non-linearity, multi-cluster nature of propagation medium, and shadowing effects. The new generation of communication systems is moving towards the use of millimetre waves (mmW). In this type of propagation, large-scale effects of fading channel on the received signal are significant, so in the proposed composite model, the lognormal distribution is considered to model large-scale effects of fading, which is the most accurate distribution to model shadowing. The Gaussian-Hermite quadrature sum is used to approximate the probability distribution function (PDF) of the proposed model. After calculating the statistics, the symbol error rate (SER) and ergodic capacity are computed. The Mellin transform technique is used to calculate the SER expression of different modulation schemes; then, ergodic capacity is computed for a diverse frequency spectrum. Finally, the Monte Carlo method is used to evaluate the analyses.

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