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Comparison of Digital Signal Processing Approaches for Subcarrier Multiplexed 5G and Beyond Analog Fronthaul

Noor, Shabnam, Assimakopoulos, Philippos, Wang, Minqi, Abdulsada, Hazim A., Genay, Naveena, Anet Neto, Luiz, Chanclou, Philippe, Gomes, Nathan J. (2020) Comparison of Digital Signal Processing Approaches for Subcarrier Multiplexed 5G and Beyond Analog Fronthaul. Journal of Optical Communications and Networking, 2 (3). pp. 62-71. ISSN 1943-0620. E-ISSN 1943-0639. (doi:10.1364/JOCN.381341) (KAR id:79467)

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Abstract

Analog fronthaul transport architectures with digital signal processing at the end stations are promising as they have the potential to achieve high spectral efficiencies, increased flexibility and reduced latency. In this paper, two digital techniques for frequency domain multiplexing/de-multiplexing large numbers of channels are contrasted: one operates on the pre-Inverse Fast Fourier Transform (IFFT) “frequency-domain” samples while the other does so on the post-IFFT “time-domain” samples. Performance criteria including computational complexity and sampling rate requirements are used in the comparison. Following modeling and simulation of the techniques, implemented within a radio-over-fiber transport architecture, error vector magnitude performance estimates are obtained. These results show that each technique has performance advantages under specific channel transport scenarios.

Item Type: Article
DOI/Identification number: 10.1364/JOCN.381341
Projects: [UNSPECIFIED] 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China (5G-DRIVE)
Uncontrolled keywords: 5th Generation Wireless (5G), Radio-over-fiber, Subcarrier Multiplexing (SCM), massive-MIMO (mMIMO), Mobile Fronthaul, Digital Signal Processing, 5G
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5103.59 Optical communications
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Philippos Assimakopoulos
Date Deposited: 03 Jan 2020 18:42 UTC
Last Modified: 31 Jan 2020 16:38 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79467 (The current URI for this page, for reference purposes)
Noor, Shabnam: https://orcid.org/0000-0001-8258-8466
Assimakopoulos, Philippos: https://orcid.org/0000-0002-2550-1317
Gomes, Nathan J.: https://orcid.org/0000-0003-3763-3699
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