High-performance dual-band radio-over-fiber link for future 5G radio access applications

Shi, Fangjing; Fan, Yangyu; Wang, Xinyuan; Wu, Zhizhou; Gao, Yongsheng

doi:10.1364/jocn.440530

Cited by 20 publications

(4 citation statements)

References 42 publications

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“…In the fields of communication [1] and aerospace [2], there is a widespread recognition of the critical importance of effectively optimizing the large-scale characteristics of radio signals in complex terrains [3]. The large-scale characteristics primarily involve the degree of attenuation experienced by electromagnetic waves during the transmission process, influenced by factors such as electromagnetic wave frequency, transmitter power output, antenna height, antenna spacing, and the transmission environment.…”

Section: Introductionmentioning

confidence: 99%

Wireless Interference Source Localization in Diverse Terrains: A C/N0 Weighted Clustering Centroids Approach

Tian,

Qi,

et al. 2023

Preprint

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The traditional methods for interference source localization often overlook actual terrain factors. In environments such as mountainous or urban areas, deviations in predicted positions occur due to factors like terrain and building obstructions. This discrepancy renders it challenging to select the most suitable suppression strategy for mitigating the impact of interference sources. This paper addresses the wireless radio wave propagation losses influenced by the superimposition of interference sources in varying terrain environments. It introduces path loss models adaptable to different terrains and conducts simulation and comparative analyses of signal losses in mountainous, urban, and plain terrains. Within the monitoring range, the paper proposes a method for partitioning anomalous areas based on simulated signal data and presents an interference source localization approach using the Carrier-to-Noise ratio (C/N0) weighted clustering centroids. The method involves setting thresholds for the C/N0 difference between interference and normal situations in different terrains, enabling the selection of effective receivers for centroid-weighted localization. Simulation results demonstrate the effectiveness of this approach across different terrains, monitoring ranges, and interference source quantities.

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Section: Introductionmentioning

confidence: 99%

Wireless Interference Source Localization in Diverse Terrains: A C/N0 Weighted Clustering Centroids Approach

Tian,

Qi,

et al. 2023

Preprint

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“…Although D-RoF is currently widely employed, it presents scalability issues, high-power consumption and costly operation in the millimeter-wave frequency range. In [14], authors present a dual-band A-RoF system using a polarization control to switch the RF operating frequency and single-sideband modulation for reducing distortions caused by intermodulation products. A digital signal processing (DSP)-assisted A-RoF was proposed in [15], focused on reducing the sampling rate for a high-speed analog-to-digital converter (ADC) and digital-to-analog converter (DAC) in fronthaul links.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Linearization Schemes for Radio Over Fiber Systems

et al. 2022

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This manuscript proposes a novel machine learning (ML)-based linearization scheme for radio-over-fiber (RoF) systems with external modulation. The proposed approach has the advantage of not requiring new training campaigns in case the Mach-Zehnder modulator (MZM) parameters are changed over time. Our innovative digital pre-distortion (DPD) was designed to favor enhanced remote areas (eRAC) scenarios, in which the non-linearities introduced by the MZM become more severe. It employs a multi-layer perceptron (MLP) artificial neural network (ANN) to model the RoF system and estimate its post-inverse response, which is then applied to the DPD block. We investigate the ML-based DPD performance in terms of adjacent channel leakage ratio (ACLR), normalized mean square error (NMSE), resultant signal root mean square error vector magnitude error (EVM RMS ), and complexity. Numerical results demonstrate that the intended DPD method is less complex and outperforms the orthogonal scalar feedback linearization (OSFL) scheme, which has been considered a state-of-the-art DPD technique. The proposal has the potential to effectively and efficiently compensate for the RoF nonlinear distortions, especially in a time-variant system, without needing new training campaigns.

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“…However, high channel-fading hinders long-haul wireless transmission in the B5G and 6G frequency regimes. Wirelessover-optical technology [9]- [16] is one of the most promising candidates for overcoming this challenge. In a typical wirelessover-optical link, high-frequency wireless transmission is confined to short-range cellular areas [17].…”

Section: Introductionmentioning

confidence: 99%

Electro-optic beamforming for seamless wireless-to-optical digital constellation-mapping

Ghosh,

Pendharker

2022

Preprint

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<p>In this paper, we show that seamless wireless-to-optical constellation-mapping is inherently governed by the direction of wireless reception. This lays the foundation for seamless electro-optic beamforming in wireless-over-optical links. We show that seamless electro-optic beamforming is governed by (i) direction-dependent electro-optic array-factor of the beamformer, and (ii) direction-dependent effective wireless constellation-rotation. The analytical conditions and design equations for enhancing the spatial selectivity of electro-optic beamformers are discussed in detail. The inadvertent nature of secondary maximas of the electro-optic array-factor is pointed out. We also highlight the impact of effective wireless constellation-rotation on seamless constellation-mapping. Further, we propose a seamless electro-optic beamforming configuration that enables wireless-spatial to optical-wavelength division multiplexing. The theoretical contributions presented in this paper are crucial for further investigation and practical realization of seamless wireless-over-optical links in next-generation communication systems like B5G and 6G.<br> <br> </p>

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High-performance dual-band radio-over-fiber link for future 5G radio access applications

Cited by 20 publications

References 42 publications

Wireless Interference Source Localization in Diverse Terrains: A C/N0 Weighted Clustering Centroids Approach

Wireless Interference Source Localization in Diverse Terrains: A C/N0 Weighted Clustering Centroids Approach

Machine Learning-Based Linearization Schemes for Radio Over Fiber Systems

Electro-optic beamforming for seamless wireless-to-optical digital constellation-mapping

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