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 An Adaptive Algorithm for Performance Enhancement of Long-Haul MMW/RoF System for Next Generation Mobile Communications.
Tác giả hoặc Nhóm tác giả: Nguyen Van Tuan, Nguyen Van Dien, Nguyen Dong Nhat, Tran The Son, Dao Duy Tuan, Nguyen Khanh Toan, Nguyen Tan Hung.
Nơi đăng: International Journal of Ad Hoc and Ubiquitous Computing (SCIE-Q4).; Số: DOI: 10.1504/IJAHUC.2021.10043322.;Từ->đến trang: 1-11;Năm: 2021
Lĩnh vực: Kỹ thuật; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
Phenomenal growth of the global mobile data traffic driven by the continuous
increase in the number of mobile devices, connections and bandwidth-hungry applications
demand heterogeneous radio access network (RAN) technologies supporting both Cloud
and edge computing paradigms. Radio over fiber (RoF) and millimeter wave (MMW)
as well as convergence of these two techniques are regarded as the most promising
solutions to provide high-capacity, long-distance data transport between mobile base
stations (BSs) and the core network. Due to the dynamic nature of the mobile data
traffic, link’s parameters should be regularly optimized and updated to adapt to the varied
link conditions due to the dynamic routing. This is challenging for previously published
approaches which normally took into account one or two parameters because of the fact
that the system performance relies on complicated relationships of many factors.In this
paper, we propose an adaptive algorithm to optimize and determine simultaneously a set
of important link parameters for a MMW/RoF integrated system based on 10 Gb/s QPSK
modulation format and heterodyne coherent detection. We develop analytical models of
main components and derive a closed-form expression of system performance such as
Q, SNR and BER. The adaptive algorithm is successfully applied to simultaneously
determine important link parameters including laser power, local oscillator power, optical
amplifier location and gains so that the overall performance could be enhanced at an
acceptable level corresponding to the varied propagation length from 200 km to 300
km. BERs of well below the 10-9 threshold could be achieved, showing an significant
enhancement of system performance thanks to the proposed adaptive algorithm.
ABSTRACT
Phenomenal growth of the global mobile data traffic driven by the continuous
increase in the number of mobile devices, connections and bandwidth-hungry applications
demand heterogeneous radio access network (RAN) technologies supporting both Cloud
and edge computing paradigms. Radio over fiber (RoF) and millimeter wave (MMW)
as well as convergence of these two techniques are regarded as the most promising
solutions to provide high-capacity, long-distance data transport between mobile base
stations (BSs) and the core network. Due to the dynamic nature of the mobile data
traffic, link’s parameters should be regularly optimized and updated to adapt to the varied
link conditions due to the dynamic routing. This is challenging for previously published
approaches which normally took into account one or two parameters because of the fact
that the system performance relies on complicated relationships of many factors.In this
paper, we propose an adaptive algorithm to optimize and determine simultaneously a set
of important link parameters for a MMW/RoF integrated system based on 10 Gb/s QPSK
modulation format and heterodyne coherent detection. We develop analytical models of
main components and derive a closed-form expression of system performance such as
Q, SNR and BER. The adaptive algorithm is successfully applied to simultaneously
determine important link parameters including laser power, local oscillator power, optical
amplifier location and gains so that the overall performance could be enhanced at an
acceptable level corresponding to the varied propagation length from 200 km to 300
km. BERs of well below the 10-9 threshold could be achieved, showing an significant
enhancement of system performance thanks to the proposed adaptive algorithm.
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