W-band photonic-wireless link with a Schottky diode envelope detector and bend insensitive fiber

Rommel, Simon; Cavalcante, Lucas Costa Pereira; Quintero, Alexánder Galvis; Mishra, Arvind Kumar; Olmos, J. J. Vegas; Monroy, Idelfonso Tafur

doi:10.1364/oe.24.011312

Cited by 18 publications

(8 citation statements)

References 25 publications

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“…8, even in such a purely LoS SISO link with the 1 st Fresnel zone within a radius of 22 cm. 1 A detailed investigation on the frequency response of the wireless W-Band channel and previous findings [4], [5] corroborate this conclusion.…”

Section: B Discussionsupporting

confidence: 64%

Performance Evaluation of Wavelet-Coded OFDM on a 4.9 Gb/s W-Band Radio-Over-Fiber Link

Cavalcante

Rommel

Dinis

et al. 2017

J. Lightwave Technol.

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Abstract-Future generation mobile communications running on mm-wave frequencies will require great robustness against frequency selective channels. In this work we evaluate the transmission performance of 4.9 Gbps Wavelet-Coded OFDM signals on a 10 km fiber plus 58 m wireless Radio-over-Fiber link using a mm-wave radio frequency carrier. The results show that a 2×128 Wavelet-Coded OFDM system achieves a bit-error rate of 1e-4 with nearly 2.5 dB less signal-to-noise ratio than a convolutional coded OFDM system with equivalent spectral efficiency for 8 GHz-wide signals with 512 sub-carriers on a carrier frequency of 86 GHz. Our findings confirm the Tzannes' theory that wavelet coding enables high diversity gains with a low complexity receiver and, most notably, without compromising the system's spectral efficiency.

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Section: B Discussionsupporting

confidence: 64%

Performance Evaluation of Wavelet-Coded OFDM on a 4.9 Gb/s W-Band Radio-Over-Fiber Link

Cavalcante

Rommel

Dinis

et al. 2017

J. Lightwave Technol.

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“…As a channel model, we take into account COST 207-based power delay profiles [5] implemented as a varying tap delay line with Rayleigh statistics. These models suit well with the channel response characteristics of single-input-single-output (SISO) line-of-sight (LoS) mm-wave based radio-over-fiber (RoF) links, as observed in [6]. We also seek to validate the mathematical analysis of the wavelet coding performance that *E-mail: lucas@dca.ufrn.br.…”

Section: Introductionmentioning

confidence: 87%

“…One of them describes a hilly terrain (P DP 1 ) and the other one describes an urban environment (P DP 2 ), as shown in Figure 2. These models suit well with the channel response characteristics of SISO LoS mm-wave based RoF links, as observed in [6]. The channel state is assumed known for equalization through infinite impulse response (IIR) filtering.…”

Section: Wavelet Codingmentioning

confidence: 97%

Performance Analysis of a 2 × 512 19-PSK MAP Wavelet-Coding Scheme for Multipath Varying Channels

Cavalcante¹

2018

Anais De XXXVI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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In this work we analyze the performance of a new scheme combining 2x512/19-phase shift keying Wavelet Coding with a maximum a posteriori receiver on varying multipath channels in terms of bit-error rate. Considering COST 207based power delay profiles for urban environments, we find that a maximum a posteriori receiver can provide a gain of nearly 1.5 dB in relation to Euclidean based Wavelet Coded systems on fading channels with low frequency selectivity. We also investigate in which extent a state-of-the-art equation for error probability of Wavelet-Coded systems is valid for varying multipath channels. Our findings show moderate mismatch between those equations and Monte-Carlo simulations, indicating that channel memory should be considered for the formulation of upper-bound solutions. Nevertheless, the results suggest that the wavelet coding shows considerable resilience to channels with memory, making it a suitable candidate for the use of mm-wave frequencies in future generation mobile communications.

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“…Traditional D-RoF approaches, where common public radio interface (CPRI) processing at the RRH imposes a bottleneck in network performance, will be eventually replaced by new open source standards. On the other hand, A-RoF has also been proposed as a promising alternative solution [10], [38] to completely eliminate the digital processing at the RRH.…”

Section: G Key Performance Indicatorsmentioning

confidence: 99%

“…These high-rates and -density system requirements certainly are on a scale well beyond those currently supported by long-term evolution (LTE) systems. Amongst several different technologies developed to potentially support these KPIs, the following stand out in 5G mobile networks: optical space-division multiplexing (SDM) [6], multiple-input multiple-output (MIMO) signaling [7], [8], analog radio-over-fiber (A-RoF) [9], [10], and optical beamforming [11], [12]. These technologies, when combined together, become part of a new concept of mobile networking architecture, the so-called 5G cloud radio access network (C-RAN) fronthaul [13]- [18].…”

Section: Introductionmentioning

confidence: 99%

The Fronthaul Infrastructure of 5G Mobile Networks

Rommel¹,

Raddo²,

Monroy³

2018

2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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The next wave of innovation will certainly generate numerous new opportunities for emerging technology solutions based on networking services and applications with stringent key performance indicators (KPIs) such as ultra-low 1 ms latency, a 1000 fold bandwidth increase, 99.99 % reliability and availability, which are immensely above those supported by current mobile networks. A new architecture of mobile networking called cloud radio access network (C-RAN) has been introduced over the last few years not only to supporting these indicators, but also to increasing scalability, manageability, and flexibility of mobile systems. In this context, this paper addresses the principal technology enablers and their features for C-RAN fronthaul architectures of the 5 th generation (5G) mobile networks, namely space-division multiplexing (SDM), massive multiple-input multiple-output (MIMO) signaling, analog radio-over-fiver (A-RoF), and millimeter wave (mmWave) frequency technology. These technologies pave the way towards a truly viable and efficient fronthaul infrastructure for 5G mobile communications with connectivity for thousands of users and strict latency control. In this fashion, we perceive a network infrastructure scenario with seamless starting and ending interfaces by exploiting space diversity in both radio frequency and optical domains with efficient integrated photonics technology-all combined with adaptive softwaredefined network programming, so as to satisfy the 5G KPIs. Furthermore, we address the most relevant features of these technologies as a potential guideline for potential fronthaul infrastructure deployment of next generation mobile networks.

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W-band photonic-wireless link with a Schottky diode envelope detector and bend insensitive fiber

Cited by 18 publications

References 25 publications

Performance Evaluation of Wavelet-Coded OFDM on a 4.9 Gb/s W-Band Radio-Over-Fiber Link

Performance Evaluation of Wavelet-Coded OFDM on a 4.9 Gb/s W-Band Radio-Over-Fiber Link

Performance Analysis of a 2 × 512 19-PSK MAP Wavelet-Coding Scheme for Multipath Varying Channels

The Fronthaul Infrastructure of 5G Mobile Networks

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