Spatial multiplexing using walsh-hadamard transform

Lee, Man Hee; Shahab, Muhammad Basit; Kader, Md. Fazlul; Shin, Soo Young

doi:10.1109/icsgteis.2016.7885764

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…The spatial diversity MIMO method improves communication link quality, while spatial multiplexing increases data rate and channel capacity. In several studies, researchers utilized Walsh-Hadamard precoding (WHT) along with MIMO and a spatial multiplexing technique [21], [22], [23]. The goal of precoding in the MIMO spatial multiplexing system is to enable the joint transmission of independent data from each transmitter.…”

Section: A Mimo-ofdmmentioning

confidence: 99%

“…Each hidden layer applies batch normalization. The activation function in this model architecture is the Rectified Linear Unit (ReLU), which can be expressed in equation (21).…”

Section: E Predistortion (Pd)mentioning

confidence: 99%

“…These results are also better than using the ICF PAPR reduction technique alone to compensate for the nonlinear PA. From the constellation signal that is received in the receiver system with the join technique PDNN and ICF (Figs. [19][20][21], it can be seen that the constellation signal is narrower than the constellation signal in the system that only uses ICF or the system without PDNN (Figs. [14][15][16].…”

Section: B Evaluation Of the Joint Technique Icf And Predistortionmentioning

confidence: 99%

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Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System

Gulo,

Astawa,

Sudarsono

et al. 2024

JOIV : Int. J. Inform. Visualization

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Multiple-input, multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is a communications technology that powers numerous modern communication systems, including 5G and WiFi-6. This technology is utilized in current communication systems due to its high performance and extensive channel capacity. MIMO-OFDM does have disadvantages, such as large Peak-to-Average Power Ratio (PAPR) values. If the signal is processed by a nonlinear Power Amplifier (PA) device, a high PAPR value signal can result in both in-band and out-of-band signal distortion. To combat high PAPR values, PAPR reduction strategies such as Iterative Clipping Filtering (ICF) are utilized. From this study, using ICF with iteration 2 and Clipping Ratios (CR) 3 and 4 can improve the system's minimum Bit Error Rate (BER) by about 22.8% and 91.1%, respectively. Choosing the correct CR will improve the system, but using the lower CR will make it worse than a system without ICF. This occurs in systems using ICF with iterations two and CR 2 and at the same SNR conditions as systems without ICF; using ICF with iterations two and CR 2 results in higher BER values. The use of Predistortion Neural Network (PDNN) can overcome this problem. By using PDNN, there is an improvement in the system where the minimum BER value can reach 0.1 × 10-5. The percentage decrease in BER from using PDNN for ICF with iterations two and CR 2, 3, and 4 is 99.88%, 99.86%, and 98.807%, respectively. Thus, the joint techniques of ICF and PDNN can significantly enhance the performance of MIMO-OFDM systems with nonlinear PA. Importantly, the experiment was conducted on an SDR device, ensuring the real-world applicability of the results.

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Section: A Mimo-ofdmmentioning

confidence: 99%

“…Each hidden layer applies batch normalization. The activation function in this model architecture is the Rectified Linear Unit (ReLU), which can be expressed in equation (21).…”

Section: E Predistortion (Pd)mentioning

confidence: 99%

Section: B Evaluation Of the Joint Technique Icf And Predistortionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System

Gulo,

Astawa,

Sudarsono

et al. 2024

JOIV : Int. J. Inform. Visualization

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Implementation of Tiny Machine Learning (TinyML) as Pre-distorter for High Power Amplifier (HPA)Linearization of SDR-based MIMO-OFDM

Gulo,

Astawa,

Sudarsono

et al. 2023

2023 International Electronics Symposium (IES)

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USRP-Based Secure Data Transmission

Jayapalan

2020

Handbook of Research on Multimedia Cyber Security

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With the advent increase in growth of wireless technology Orthogonal Frequency Division Multiplexing (OFDM) gains popularity in recent years. OFDM forms the fundamental backbone of many currently used wireless transmission standards. It is a multicarrier modulation scheme which overcomes the need for equalizer to mitigate ISI caused due to multipath propagation. In this work, an OFDM based transceiver has been developed utilizing various modules like Source Coding, Channel Coding, IFFT-FFT, scrambler, cyclic prefix, and signal mapper. To ensure secure data transmission, Hadamard matrix is XORed with the data. This provides a low level of protection to the image which is transmitted. LabVIEW has been used as the processing tool to develop the transceiver and the prototype developed has been tested using Universal Software Radio Peripheral (USRP).

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Spatial multiplexing using walsh-hadamard transform

Cited by 3 publications

References 13 publications

Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System

Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System

Implementation of Tiny Machine Learning (TinyML) as Pre-distorter for High Power Amplifier (HPA)Linearization of SDR-based MIMO-OFDM

USRP-Based Secure Data Transmission

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