Bit error rate minimisation using SLM technique in TFT-OFDM for mobile large-scale MIMO systems

2018 ◽  
Vol 27 (1/2) ◽  
pp. 50
Author(s):  
R. Meenakshi ◽  
P. Indumathi
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Large Scale ◽  
Mimo Systems

scholarly journals Smoothing techniques for decision-directed MIMO OFDM channel estimation

2011 ◽  
Vol 9 ◽  
pp. 139-143
Author(s):  
P. Beinschob ◽  
U. Zölzer
Keyword(s):  
Channel Estimation ◽  
Bit Error Rate ◽  
Error Rate ◽  
Error Propagation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo Systems ◽  
Smoothing Techniques ◽  
Time Frequency ◽  
Channel Estimate ◽  
Mimo Ofdm

Abstract. With the purpose of supplying the demand of faster and more reliable communication, multiple-input multiple-output (MIMO) systems in conjunction with Orthogonal Frequency Division Multiplexing (OFDM) are subject of extensive research. Successful Decoding requires an accurate channel estimate at the receiver, which is gained either by evaluation of reference symbols which requires designated resources in the transmit signal or decision-directed approaches. The latter offers a convenient way to maximize bandwidth efficiency, but it suffers from error propagation due to the dependency between the decoding of the current data symbol and the calculation of the next channel estimate. In our contribution we consider linear smoothing techniques to mitigate error propagation by the introduction of backward dependencies in the decision-based channel estimation. Designed as a post-processing step, frame repeat requests can be lowered by applying this technique if the data is insensitive to latency. The problem of high memory requirements of FIR smoothing in the context of MIMO-OFDM is addressed with an recursive approach that acquires minimal resources with virtual no performance loss. Channel estimate normalized mean square error and bit error rate (BER) performance evaluations are presented. For reference, a median filtering technique is presented that operates on the MIMO time-frequency grids of channel coefficients to reduce the peak-like outliers produced by wrong decisions due to unsuccessful decoding. Performance in terms of Bit Error Rate is compared to the proposed smoothing techniques.

scholarly journals Bit Error Rate (BER) Performance of MIMO Systems in M-QAM with Nonlinear Effect

2019 ◽  
Vol 9 (2) ◽  
pp. 265-267
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Mimo Systems ◽  
Mimo System ◽  
High Amplitude ◽  
Transmitter Diversity ◽  
Receiver Diversity ◽  
Alamouti Scheme ◽  
Amplifier Model ◽  
Modulation Techniques

Out object in this paper it to study, the effect of nonlinearity on the bit error rate (BER) of MIMO systems in M-QAM modulation techniques. We consider Saleh’s model (power amplifier model) for the nonlinearity, and apply the nonlinear model on MIMO system with receiver diversity and transmitter diversity. For transmitter diversity, the Space-Time Block Coding (STBC) based on Alamouti scheme is used to provide transmits diversity for two transmitting antennas. The results show that, if there is a high variation in the amplitude of the M- QAM symbols, there will behigh effect of nonlinearity that causes high BER especially for high amplitude symbols at high SNR.

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 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 H∞-dCNN: Enhancing the SNR using Deep Learning Algorithm in Wireless Communication System

2021 ◽  
Author(s):  
C. Priya ◽  
D. Kumutha ◽  
M. Shilpa ◽  
K. Jayanthi ◽  
S. Baskaran
Keyword(s):  
Deep Learning ◽  
Wireless Communication ◽  
Wireless Network ◽  
Bit Error Rate ◽  
Error Rate ◽  
Communication Systems ◽  
Mimo Systems ◽  
Learning Algorithm ◽  
Network Computing ◽  
Deep Learning Algorithm

Abstract In Wireless communication systems, the deep learning-based Convolution Neural Networks (dCNN) is performed to gain a better improvement of Quality of Services(QoS) with higher Signal to Noise Ratio (SNR). Multiple Input and Multiple Output (MIMO) systems are presented for real-time evaluation from various technologies, which has served the purpose of services in improving the communication performance of the physical layer of the wireless network. By increasing the communication throughput by focusing on resource allocation, the overall efficiency was not up to the market due to the network’s dynamic behavior. This article proposes the system in two different stages to express the analytical solution for decreasing the Bit Error Rate(BER). The first is to employ the Hybrid Infinity (H∞) through the channel for better robustness in wireless network computing. Next is to optimize Bit Error Rate (BER) with carrier detection as well as other criteria for improving service quality by analyzing the network behavior using Deep Learning Algorithm. The deep Convolution Neural Network with Hybrid Infinity (H∞ - dCNN) is implemented and evaluates the low BER values with high SNR for the performance of QoS. Thus, H∞ - dCNN is proved and outperform the simulated results with better characteristics by using the Matlab software. Hence, the mathematical expression for the proposed system is noticed that a significant improvement is obtained in terms of BER lesser than 0.6 e-4. It is observed the SNR lesser than 18dB, which is comparatively best than the baseline method.

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. .

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