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2024 (English)In: Journal of Lightwave Technology, ISSN 0733-8724, E-ISSN 1558-2213Article in journal (Refereed) Epub ahead of print
Abstract [en]
This paper highlights the potential of photonic-assisted analog fronthaul solutions, particularly analog radio-over-fiber (ARoF) and analog radio-over-free-space-optics (ARoFSO), as prospective alternatives for the development of 6G applications. First, we present (New-Radio) NR/5G conformance testing of ARoF and ARoFSO fronthaul links, including the assessment of the error vector magnitude (EVM) and adjacent channel leakage power ratio (ACLR) to demonstrate compliance with the minimum transmitter requirements outlined by the 3rd Generation Partnership Project (3GPP) standards. Then, with focus on future 6G Distributed-MIMO (D-MIMO) networks, we conduct experimental validations of coherent joint transmissions (CJT) using ARoF and ARoFSO fronthaul links in a 2-transmitter D-MIMO network, demonstrating MIMO gains of up to 5.35 dB and that these links meet the stringent synchronization demands for CJT. These tests represent the first realizations of CJT utilizing ARoF and ARoFSO links. Finally, for consistency, we validate CJT in a 4-transmitter D-MIMO network with ARoF fronthaul links, with MIMO gains up to 9.4 dB and confirming our previous results. This evidence indicates that these technologies hold significant potential for applications in future 6G systems.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2024
Keywords
5G mobile communication systems; MIMO systems; Optical fibers; Radio links; Radio transmission; Radio-over-fiber; Regulatory compliance; 3rd generation; 3rd generation partnership project; 6g mobile communication; Analog fronthaul; Coherent joint transmission; Conformance testing; Distributed antennas; Free Space Optical communication; Gain; Joint transmissions; MIMO communication; Mobile communications; Optical-fiber communication; Radio-over-fibers; Radio-over-FSO; Wireless communications; Antennas
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ri:diva-74794 (URN)10.1109/JLT.2024.3435770 (DOI)2-s2.0-85200250985 (Scopus ID)
Note
This work was supported in part by VINNOVA-funded project \u2018A-FRONTHAUL\u2019 2023-00659, the Swedish Research Council (VR) project 2019-05197 and project \u2018BRAIN\u2019 2022-04798, in part by the COST Action CA19111 NEWFOCUS, and in part by the LZP FLPP project \u2018MIR-FAST\u2019 (lzp-2023/1-0503).
2024-08-272024-08-272024-08-27Bibliographically approved