LAPSE:2023.33414
Published Article
LAPSE:2023.33414
Efficient and Robust Image Communication Techniques for 5G Applications in Smart Cities
April 21, 2023
A wide range of multimedia applications must be supported by the modern fifth generation (5G) wireless communication systems for realizing the diverse applications in smart cities. The diverse applications such as real-time monitoring of roads, smart homes, smart industries, etc., for a sustainable smart city emphasizes a robust and efficient image transmission. In this paper, the influence of maximal ratio combining (MRC) on the reception of images with different orthogonal frequency division multiplexing (OFDM) versions is studied. The different OFDM versions considered here are the fast Fourier transform (FFT) based OFDM and discrete cosine transform (DCT) based OFDM. A comparison between diverse modulation levels for the images transmitted through different OFDM methodologies, along with variation in a number of receiving antennas for MRC, is proposed for additive white gaussian noise (AWGN) and Rayleigh fading channels. The diverse modulation levels used are binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), 8-PSK, and 16-PSK. The parameters that are used to compare different versions of OFDM for MRC antenna configurations are signal-to-noise ratio (SNR) vs. bit error rate (BER) and peak signal-to-noise ratio (PSNR) at the receiver as an estimation parameter for the received image quality.
Keywords
BER, DCT, FFT, MRC, OFDM, PSNR
Suggested Citation
Kansal L, Gaba GS, Chilamkurti N, Kim BG. Efficient and Robust Image Communication Techniques for 5G Applications in Smart Cities. (2023). LAPSE:2023.33414
Author Affiliations
Kansal L: School of Electronics & Electrical Engineering, Lovely Professional University, Phagwara 144411, India [ORCID]
Gaba GS: School of Electronics & Electrical Engineering, Lovely Professional University, Phagwara 144411, India [ORCID]
Chilamkurti N: Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, VIC 3086, Australia [ORCID]
Kim BG: Intelligent Vision Processing Laboratory (IVPL), Department of IT Engineering, Sookmyung Women’s University, Seoul 04310, Korea [ORCID]
Journal Name
Energies
Volume
14
Issue
13
First Page
3986
Year
2021
Publication Date
2021-07-02
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14133986, Publication Type: Journal Article
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LAPSE:2023.33414
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doi:10.3390/en14133986
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Apr 21, 2023
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