Investigation of noise sources in Radio-over-Fiber systems for Wi-Fi applications

Lona, D. G.; Hernandez-Figueroa, Hugo E.; Cerqueira, S. Arismar; Assumpção, Raphael M.; Branquinho, Omar Carvalho; Abbade, Marcelo L. F.

doi:10.1109/imoc.2011.6169294

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Basically a RoF system is composed of a Central Station (CS) or Header and a Base Station (BS). The RoF system processes the RF signal at the CS and uses fiber optics to distribute the RF signal to the BSs [6] [7]. The CS is the gateway between the transport network and the BSs, the BS handles the communication with the users.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of a real time OFDM radio over fiber system at 2.5 GHz using software defined radio SDR

Rodriguez

Rico-Martinez

Muñoz

et al. 2017

2017 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)

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This paper presents the implementation of an OFDM radio over fiber (RoF) system at 2.5 GHz using software defined radio (SDR). In this work, first we present an introduction of the main concepts about radio over fiber and an orthogonal frequency-division multiplexing (OFDM) system at 2.5 GHz, then we present a comparison of an OFDM RoF system in three scenarios, modifying the wireless distances and the optical fiber distance in order to evaluate the performance of the system taking into account the symbol error rate (SER) vs signal to noise ratio (SNR) curves.

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Section: Introductionmentioning

confidence: 99%

Performance evaluation of a real time OFDM radio over fiber system at 2.5 GHz using software defined radio SDR

Rodriguez

Rico-Martinez

Muñoz

et al. 2017

2017 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)

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“…RoF systems enable convergence of optical and wireless networks and, additionally, can relay on photonics technology to efficiently enable the generation [3][4] and detection [5] of microwave signals. These systems have been considered to connect base stations to the remote antenna units, not only for the current cellular systems, but also for Wi-Fi and 4G networks [6] [7]. Other applications include hybrid Passive Optical Network (PON) implementations [8] and the transport of sensorial information in Wireless Sensor Networks (WSNs) [9].…”

Section: Introductionmentioning

confidence: 99%

Cognitive broadband optical-wireless network

Raimundo-Neto

Casaroli

Santos

et al. 2015

2015 International Workshop on Telecommunications (IWT)

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This work reports the implementation of the first cognitive broadband optical-wireless network published in literature, aimed to deal with the new demands for convergent future access networks. It simultaneously provides the functionalities of ultra-wideband radiofrequency spectrum sensing, dynamic resource allocation, and centralized processing capability, as well as the use of ultra-wideband antennas and radio over fiber technology. The performance of this innovative architecture has been evaluated in a geographically distributed optical-wireless network under real conditions. Experimental results demonstrate broadband and remote spectrum sensing from 680 MHz up to 8.0 GHz and an enhancement of more than 30 dB in the carrier to interference plus noise ratio (CINR) parameter, improving the cognitive user experience and enabling energy efficiency and flexibility in the use of the radiofrequency spectrum.

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“…RoF systems play an important role in the convergence of optical and wireless networks and, additionally, can take advantage of photonics technology in order to efficiently enable the generation and detection of microwave signals in the optical domain [3,4]. These systems have been considered a key solution to connect base stations to the antenna units not only for the current cellular systems but also for Wi-Fi and 4G networks [5][6][7]. Other applications include hybrid passive optical network (PON) implementations [8] and transport 2 International Journal of Antennas and Propagation sensorial information in wireless sensor networks (WSNs) [9].…”

Section: Introductionmentioning

confidence: 99%

Implementation of an Optical-Wireless Network with Spectrum Sensing and Dynamic Resource Allocation Using Optically Controlled Reconfigurable Antennas

Raimundo-Neto

Rosa

Casaroli

et al. 2014

International Journal of Antennas and Propagation

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This work proposes the concept and reports the implementation of an adaptive and cognitive radio over fiber architecture. It is aimed at dealing with the new demands for convergent networks by means of simultaneously providing the functionalities of multiband radiofrequency spectrum sensing, dynamic resource allocation, and centralized processing capability, as well as the use of optically controlled reconfigurable antennas and radio over fiber technology. The performance of this novel and innovative architecture has been evaluated in a geographically distributed optical-wireless network under real conditions and for different fiber lengths. Experimental results demonstrate reach extension of more than 40 times and an enhancement of more than 30 dB in the carrier to interference plus noise ratio parameter.

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Investigation of noise sources in Radio-over-Fiber systems for Wi-Fi applications

Cited by 3 publications

References 15 publications

Performance evaluation of a real time OFDM radio over fiber system at 2.5 GHz using software defined radio SDR

Performance evaluation of a real time OFDM radio over fiber system at 2.5 GHz using software defined radio SDR

Cognitive broadband optical-wireless network

Implementation of an Optical-Wireless Network with Spectrum Sensing and Dynamic Resource Allocation Using Optically Controlled Reconfigurable Antennas

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