5G and software network paradigm

Tudzarov, Aleksandar; Gelev, Saso

doi:10.1109/spit.2018.8350851

Cited by 2 publications

(2 citation statements)

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“…The AM process is mainly performed using an electronic circuit known as the modulator [12]. One of the essential considerations in the AM process is the modulation factor, which represents the modulation depth or the change in the carrier amplitude [13]. In other words, it is the ratio between the carrier amplitude change and the normal carrier wave amplitude.…”

Section: Amplitude Modulation (Am)mentioning

confidence: 99%

Transmit and Receive of FM, SSB and DSD-AM, QPSK FSK Signals Using Softrock SDR and Matlab

2023

IJFMR

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This study included the transmission and reception of FM signals using the Softrock Ensemble RXTX SDR transceiver and the Frequency Shıft Keyıng (FSK). FM signals are generated and plotted using MATLABalong with two input frequencies and a modulation index as inputs for the developed system, the DSB-SC modulated signals as well as DSB-WC signals are generated by multiplying the message with a carrier, while the SSB ones are generated by filtering out the lower sidebands of the DSB-SC modulated signal. Besides, the frequency modulation scheme in which digital information is transmitted through discrete frequency changes of a carrier wave. Advanced modulation and demodulation are fundamental procedures by computerized images that change into waveforms that are perfect with the qualities of a transmission channel; QPSK allows the signal to carry twice as much information as ordinary PSK using the same bandwidth.

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Section: Amplitude Modulation (Am)mentioning

confidence: 99%

Transmit and Receive of FM, SSB and DSD-AM, QPSK FSK Signals Using Softrock SDR and Matlab

2023

IJFMR

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“…Three publications [26][27][28] examined big data in the context of 5G and machine learning. The vast data can be divided into two categories: raw data and correct data.…”

Section: Review and Survey Articlesmentioning

confidence: 99%

From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

Mahdi

Ahmad

Qassim³

et al. 2021

Applied Sciences

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Due to the rapid development of the fifth-generation (5G) applications, and increased demand for even faster communication networks, we expected to witness the birth of a new 6G technology within the next ten years. Many references suggested that the 6G wireless network standard may arrive around 2030. Therefore, this paper presents a critical analysis of 5G wireless networks’, significant technological limitations and reviews the anticipated challenges of the 6G communication networks. In this work, we have considered the applications of three of the highly demanding domains, namely: energy, Internet-of-Things (IoT) and machine learning. To this end, we present our vision on how the 6G communication networks should look like to support the applications of these domains. This work presents a thorough review of 370 papers on the application of energy, IoT and machine learning in 5G and 6G from three major libraries: Web of Science, ACM Digital Library, and IEEE Explore. The main contribution of this work is to provide a more comprehensive perspective, challenges, requirements, and context for potential work in the 6G communication standard.

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5G and software network paradigm

Cited by 2 publications

References 0 publications

Transmit and Receive of FM, SSB and DSD-AM, QPSK FSK Signals Using Softrock SDR and Matlab

Transmit and Receive of FM, SSB and DSD-AM, QPSK FSK Signals Using Softrock SDR and Matlab

From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

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