Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 34,
  • Issue 16,
  • pp. 3859-3866
  • (2016)

Subcarrier Multiplexing RF Plans for Analog Radio Over Fiber in Heterogeneous Networks

Open Access Open Access

Abstract

Analogue Radio over Fibre together with subcarrier multiplexing and wavelength division multiplexing is proven to be more cost-efficient when compared to CPRI fronthaul solutions. Furthermore, the results of the allocation of RF channels to better exploit the available modulation bandwidth of commercial transceivers show that the uniformly spaced channel plan is bandwidth efficient but susceptible to interference. The ITU-T G.692 plan results in much higher tolerance to interference but it is more bandwidth consuming. Finally, the proposed ‘mind the gap’ RF channel plan shows an acceptable compromise between bandwidth consumption and robustness against intermodulation interference.

© 2016 OAPA

PDF Article
More Like This
Complexity-reduced digital predistortion for subcarrier multiplexed radio over fiber systems transmitting sparse multi-band RF signals

Yinqing Pei, Kun Xu, Jianqiang Li, Anxu Zhang, Yitang Dai, Yuefeng Ji, and Jintong Lin
Opt. Express 21(3) 3708-3714 (2013)

Hybrid radio-over-fiber transport system to support heterogeneous indoor mobile network environments

Sang-Rok Moon, Minkyu Sung, Eonsang Kim, Joon Ki Lee, Seung-Hyun Cho, and Joonyoung Kim
J. Opt. Commun. Netw. 16(2) 71-80 (2024)

Cascaded digital–analog radio-over-fiber for efficient SNR scaling at >10 dB per extra bandwidth

Yixiao Zhu, Yicheng Xu, Weisheng Hu, and Qunbi Zhuge
Opt. Lett. 47(15) 3836-3839 (2022)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.


Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.