Experimental Analysis Using USRP for Novel Wavelet‐Based Spectrum Sensing for 2.2 GHZ Band Communication Using LabVIEW

Perumal, Kalpana Devi; Ruby, E. D. Kanmani; Dhivya, M.; Mary, G. Aloy Anuja; Kavitha, V.; Kandasamy, Umamahesawari

doi:10.1155/2022/4947224

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…OFDM based real time spectrum sensing using semi blind detectors, namely Singular Value Decomposition (SVD) based [16] and energy detector, is demonstrated using two NI USRP 2930 devices [17], at a carrier frequency of 433.92MHz, by considering both Rician and flat fading environments. A testbed for demonstrating dynamic spectrum sensing using wavelet method, is developed using USRP 2920 [18], at a carrier frequency of 2GHz.…”

Section: Performance Of a Software Defined Radio Basedmentioning

confidence: 99%

Performance of a Software Defined Radio based Non-Coherent OFDM Wireless Link

Narayana,

Sure

2023

International Journal of Electronics and Telecommunications

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With improved technological successions, wireless communication applications have been incessantly evolving. Owing to the challenges posed by the multipath wireless channel, radio design prototypes have become elemental in all wireless systems before deployment. Further, different signal processing requirements of the applications, demand a highly versatile and reconfigurable radio such as Software Defined Radio (SDR) as a crucial device in the design phase. In this paper, two such SDR modules are used to develop an Orthogonal Frequency Division Multiplexing (OFDM) wireless link, the technology triumphant ever since 4G. In particular, a non-coherent end-to-end OFDM wireless link is developed in the Ultra High Frequency (UHF) band at a carrier frequency of 470 MHz. The transmitter includes Barker sequences as frame headers and pilot symbols for channel estimation. At the receiver, pulse alignment using Max energy method, frame synchronization using sliding correlator approach and carrier offset correction using Moose algorithm are incorporated. In addition, wireless channel is estimated using Least Square (LS) based pilot aided channel estimation approach with denoising threshold and link performance is analyzed using average Bit Error Rate (BER), in different pilot symbol scenarios. In a typical laboratory environment, the results of BER versus receiver gain show that with 4 pilot symbols out of 128 carriers, at a gain of 20 dB, BER is 0.160922, which is reduced to 0.136884 with 16 pilot symbols. The developed link helps OFDM researchers to mitigate different challenges posed by the wireless environment and thereby strengthen OFDM technology.

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Section: Performance Of a Software Defined Radio Basedmentioning

confidence: 99%

Performance of a Software Defined Radio based Non-Coherent OFDM Wireless Link

Narayana,

Sure

2023

International Journal of Electronics and Telecommunications

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“…These methods include energy detection, eigenvalue detection, cyclostationary detection, and matched filter detection [7]. Wavelets are used to identify the spectral holes [8]. However, there is a practical demand for wideband spectrum sensing for cognitive radio.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Compressed Sensing in Cognitive Radio Network for Telemedicine Services

Vivekanand¹,

Inbamalar²,

Nadar

et al. 2023

Wireless Communications and Mobile Computing

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Wireless body area networks (WBAN) are becoming a promising solution for health care applications. WBAN allows monitoring of patients continuously in their own comfort zone. These devices use the industrial, scientific, and medical band (ISM) for communication. This band is overcrowded due to the increasing number of wireless medical devices and other wireless devices occupying this band. This causes interference, which can be damaging and could result in a change in received power. However, WBAN also needs minimum and reliable energy communication for a longer lifetime and improved quality of service. This work addresses both problems and proposes solutions for the same. A cognitive radio controller is employed as a centralized controller with dynamic spectrum allocation properties to mitigate the interference. The sensing of the spectrum is based on compressed sensing with a nonreconstruction model to save energy. To quantify interference measurement, the interference mitigation factor is introduced. Further, to increase energy efficiency, the K-means algorithm is used to cluster WBANs. However, critical emergency data and normal data are categorized as priority data and normal data, respectively, by the proposed priority scheduling algorithm. The performance of this cognitive radio-based system for telemedicine applications is analyzed through simulations. The simulations are performed using MATLAB 2019.

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Experimental Analysis Using USRP for Novel Wavelet‐Based Spectrum Sensing for 2.2 GHZ Band Communication Using LabVIEW

Cited by 2 publications

References 23 publications

Performance of a Software Defined Radio based Non-Coherent OFDM Wireless Link

Performance of a Software Defined Radio based Non-Coherent OFDM Wireless Link

Energy-Efficient Compressed Sensing in Cognitive Radio Network for Telemedicine Services

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