Analyzing standard RF Waveform Designs for WPT

Separation Distance ◽

Device Performance ◽

Frequency Division ◽

Wireless Power ◽

Different Types

The possibility to harvest energy from ambient radio-frequency (RF) sources has intrigued humankind since past several decades. In this context, there has been a tremendously growing research interest in the field of wireless power transfer (WPT) using the RF regime of the electromagnetic (EM) spectrum. In this paper, we investigate the aspect of real-time energy harvesting (EH) via different types of waveform designs such as Orthogonal Frequency Division Multiplexing (OFDM), Square, Triangular, Sinusoidal, and Sawtooth. We make use of a Software Defined Radio (SDR) and a Powercast P21XXCSREVB EH module to carry out the experiments on practical device performance. Specifically, we are interested in obtaining some insights based on the comparison between the aforementioned waveform designs from the perspectives of separation distance between the USRP and P21XXCSR-EVB EH module, and power emission via USRP. Correspondingly, the demonstration of the EH is provided in terms of the above-mentioned investigation metrics, while seeking the best waveform to support WPT.

A Real-Time Deep Learning OFDM Receiver

ACM Transactions on Reconfigurable Technology and Systems ◽

10.1145/3494049 ◽

2022 ◽

Vol 15 (3) ◽

pp. 1-25

Author(s):

Stefan Brennsteiner ◽

Tughrul Arslan ◽

John Thompson ◽

Andrew McCormick

Keyword(s):

Neural Network ◽

Neural Networks ◽

Real Time ◽

Field Programmable Gate Array ◽

Frequency Division ◽

Field Programmable ◽

Gate Array ◽

Fully Connected

Machine learning in the physical layer of communication systems holds the potential to improve performance and simplify design methodology. Many algorithms have been proposed; however, the model complexity is often unfeasible for real-time deployment. The real-time processing capability of these systems has not been proven yet. In this work, we propose a novel, less complex, fully connected neural network to perform channel estimation and signal detection in an orthogonal frequency division multiplexing system. The memory requirement, which is often the bottleneck for fully connected neural networks, is reduced by ≈ 27 times by applying known compression techniques in a three-step training process. Extensive experiments were performed for pruning and quantizing the weights of the neural network detector. Additionally, Huffman encoding was used on the weights to further reduce memory requirements. Based on this approach, we propose the first field-programmable gate array based, real-time capable neural network accelerator, specifically designed to accelerate the orthogonal frequency division multiplexing detector workload. The accelerator is synthesized for a Xilinx RFSoC field-programmable gate array, uses small-batch processing to increase throughput, efficiently supports branching neural networks, and implements superscalar Huffman decoders.

Real-Time Mitigation of the Mobility Effect for IEEE 802.15.4g SUN MR-OFDM

Applied Sciences ◽

10.3390/app9163289 ◽

2019 ◽

Vol 9 (16) ◽

pp. 3289 ◽

Cited By ~ 2

Author(s):

Huy Nguyen ◽

Nam Tuan Le ◽

Nguyen Cong Hoan ◽

Yeong Min Jang

Keyword(s):

Low Power ◽

Real Time ◽

Doppler Shift ◽

Cyclic Prefix ◽

Wide Area ◽

Wide Area Networks ◽

Frequency Division ◽

Ofdm System

In order to develop wireless sensor networks, which are defined by the IEEE 802.15.4 specification, researchers are considering low-power wide-area networks (LPWAN) due to their advantages of being long range, low power, low cost, and highly mobile. The issue of mobility is covered in the IEEE 802.15.4g standard for supporting a smart utility network (SUN), which is mainly controlled by orthogonal frequency-division multiplexing (OFDM) modulation. In a high mobility scenario, inter-carrier interference is a primary factor in reducing the performance of OFDM transmissions due to the destruction of the subcarrier component’s orthogonality. This paper analyzes the mobility effect in multi-rate multi-regional orthogonal frequency-division multiplexing (MR-OFDM) for low-power wide-area networks in general, and the SUN MR-OFDM system in particular. As mentioned in standard 802.15.4 2015, IEEE 802.15.4g MR-OFDM is one of the low-power wide-area (LPWA) technologies in which energy optimization problems are of first priority. We are especially interested in simple technologies that provide high efficiency. Therefore, we propose a highly adaptive method that uses the cyclic prefix to mitigate the mobility effect in real time. At a symbol frames interval of 120 us, the Doppler shift effect from the mobility of the MR-OFDM system adapted smoothly. This is not the best method to mitigate Doppler shift but it is a simple method that suits the LPWA network. The proposed scheme clearly simulated the mobility of the MR-OFDM system, and had the advantage of using a cyclic-prefix with a bit error rate performance through Additive White Gaussian Noise (AWGN) and the Rician channel of Matlab.

Development of a GFDM waveform with radio defined with software

Visión electrónica ◽

10.14483/22484728.18392 ◽

2018 ◽

Vol 1 (2) ◽

pp. 282-292

Author(s):

Daniel Ricardo Pérez-Riaño ◽

Elkin Andrés Ducuara-Hernández ◽

Luis Fernando Pedraza-Martínez

Keyword(s):

Software Defined Radio ◽

Spectrum Analyzer ◽

Frequency Division ◽

Gnu Radio ◽

Advantages And Disadvantages ◽

Fifth Generation ◽

Usrp N210

In this paper the performance of a Generalized Frequency Division Multiplexing waveform is evaluated when compared to an Orthogonal Frequency Division Multiplexing signal. For the development of the previous waveforms, the GNU radio software and the Software Defined Radio (SDR) equipment USRP N210 are used. Through a spectrum analyzer the power of both waveforms are measured and the Out-of-Band Radiation is analyzed. Then, the results obtained are compared and the advantages and disadvantages of the implementation of GFDM as a waveform within the fifth generation systems are exposed.

Real-Time Data Transfer Based on Software Defined Radio Technique using Gnu radio/USRP

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a1140.109119 ◽

2019 ◽

Vol 9 (1) ◽

pp. 279-288

Keyword(s):

Wireless Communication ◽

Real Time ◽

Software Defined Radio ◽

Communication Systems ◽

Software Radio ◽

Spectrum Efficiency ◽

Time Data ◽

Real Time Data ◽

Different Types

Software Defined Radio (SDR) offers a extensive radio communication platform that uses software updates to make use of fresh technology. From SDR, the idea of an Orthogonal frequency division multiplexing (OFDM) has evolved to personalize SDRs. The channel dispersiveness causes Inter Symbol Interference (ISI) but OFDM is more resistant at these condition because of this reason it is widely used in wireless communication systems. OFDM is having a good performance in terms of Bit Error Rate (BER) and high spectrum efficiency, so it is considered as a key role for next generation wireless communication system. In this paper, three different types of data are transferred in a real time SDR of OFDM transceiver using GNURadio/Universal Software Radio Peripheral (USRP). OFDM is extremely sensitive for synchronization errors such as time and frequency offsets and to estimate channel condition. Therefore, a standard algorithm is applied to solve synchronization and channel estimation problems in SDR based OFDM system. This testbed is implemented using two USRPs of model N210 as transmitter and receiver with an open source of GNURadio as a software. The implementation of OFDM is evaluated for different types of information like text, audio and Image. This evaluates the BER v/s SNR for real time data transmission in SDR Environment

5G F-OFDM Waveform Based Software-Defined Radio Technology

Proceedings of Engineering and Technology Innovation ◽

10.46604/peti.2022.8887 ◽

2021 ◽

Vol 20 ◽

pp. 68-80

Author(s):

Dia Mohamad Ali ◽

Zhraa Zuheir Yahya

Keyword(s):

Software Defined Radio ◽

Hardware Implementation ◽

Software Radio ◽

Spectrum Efficiency ◽

Practical Implementation ◽

Frequency Division ◽

Fifth Generation ◽

Radio Technology

Filtered-orthogonal frequency division multiplexing (F-OFDM) is a quasi-orthogonal waveform candidate for the applications of the fifth generation (5G) communication system. In this study, an F-OFDM waveform with unequal sub-band sizes is proposed to improve the spectrum efficiency (SE) of the 5G system. The proposed waveform is modeled with the Blackman window-sinc filter and is developed based on the software-defined radio (SDR) technology for practical implementation. The result shows that the F-OFDM performance of the simulation and hardware implementation is approximately the same. The SE using the proposed F-OFDM waveform is 6% and 5.8% higher than the SE using the conventional OFDM waveform under the simulation in the LabVIEW NXG simulator and under the practical use in the universal software radio peripheral (USRP) platform, respectively.

The Study of Navigation Light Cable Communication Based on OFDM

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.422.218 ◽

2011 ◽

Vol 422 ◽

pp. 218-223

Author(s):

Xiu Yan Wang ◽

Jin Lin Wang ◽

Jia Quan Lin ◽

Zong Shuai Li

Keyword(s):

Real Time ◽

Monitoring System ◽

Data Transmission ◽

Working Condition ◽

Frequency Division ◽

The Real ◽

Cable Channel ◽

Cable Communication

Navigation light monitoring system is designed to detect the working condition of each light with circuit cable carrier. However, the real-time detecting information could be inaccurate as a result of the existence of disturbances such as noise, multi-path effect and channel decline, when the data transmission happens in light cable as the channel. In this paper, OFDM (Orthogonal Frequency Division Multiplexing) is presented to be used in circuit cable communication. And the reason and capability of the resistance to these disturbances in OFDM are analyzed. Finally, the result is concluded that OFDM used in navigation light cable channel is feasible.