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Spectral Efficiency Comparison Between Analog and Digital RoF for Mobile Fronthaul Transmission Link

Mobile fronthaul requires an efficient transfer of radio signals between cell-site remote radio heads (RRHs) and a centralized baseband unit (BBU) to satisfy diverse requirements on system capacity, latency, and cost. Both analog radio-over-fiber (A-RoF) and digital radio-over-fiber (D-RoF) enable the realization of the mobile fronthaul transmission link. A-RoF can achieve high spectral efficiency while it is susceptible to the noise and inherent nonlinearities during the optical transmission. Nevertheless, D-RoF can achieve high signal fidelity by using high quantization bits while it is commonly considered as low spectral efficiency. Therefore, the spectral efficiency comparison between D-RoF and A-RoF is generally not a fair one under the same constraint of the optical transmission link. In this paper, we theoretically analyze the recovered signal fidelity for D-RoF and A-RoF under the constraint of spectral efficiency and channel condition. We reveal that under the same channel condition, D-RoF can achieve the same spectral efficiency as A-RoF with the same recovered signal-to-noise ratio (SNR). Provided that D-RoF consumes more bandwidth, it offers the key advantage of D-RoF that the achievable SNR exhibits exponential improvement as a trade-off of the link bandwidth. If keeping the same quantization bits for radio signals, the required SNR threshold for D-RoF decreases exponentially with respect to the link bandwidth. Extensive experiments are carried out to confirm the theoretical analysis over the same constraint of the optical transmission link.

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Informasi Detail

Judul Seri

JOURNAL OF LIGHTWAVE TECHNOLOGY; Vol.38 No.20 October 15 2020

No. Panggil

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Penerbit

: .,

Deskripsi Fisik

p. 5617 - 5623

Bahasa

English

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SPECTRAL EFFICIENCY
MOBILE FRONTHAUL
ANALOG ROF
DIGITAL ROF

Info Detail Spesifik

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Pernyataan Tanggungjawab

Honglin Ji, Chuanbowen Sun, William Shieh

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