Packet Flow Capacity Autonomous Operation Based on Reinforcement Learning
As the dynamicity of the traffic increases, the need for self-network operation becomes more evident. One of the solutions that might bring cost savings to network operators is the dynamic capacity management of large packet flows, especially in the ...
Sima Barzegar, Marc Ruiz, Luis Velasco
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Genetic Algorithm for Holistic VNF-Mapping and Virtual Topology Design
Next generation of Internet of Things (IoT) services imposes stringent requirements to the future networks that current ones cannot fulfill. 5G is a technology born to give response to those requirements. However, the deployment of 5G is also accompanied
Lidia Ruiz+8 more
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Design of a carrier-depletion Mach-Zehnder modulator in 250 nm silicon-on-insulator technology [PDF]
We present the design of a single-drive Mach-Zehnder modulator for amplitude modulation in silicon-on-insulator technology with 250 nm active layer thickness. The applied RF signal modulates the carrier density in a reverse biased lateral pn-junction.
M. Félix Rosa+7 more
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In free-space optical communications that use both amplitude and phase data modulation (for example, in quadrature amplitude modulation (QAM)), the data are typically recovered by mixing a Gaussian local oscillator with a received Gaussian data beam ...
Runzhou Zhang+17 more
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Graphene-Fiber Biochemical Sensors: Principles, Implementations, and Advances
Single atomically thick graphene, with unique structural flexibility, surface sensitivity, and effective light-mater interaction, has shown exceptional advances in optoelectronics. It opens a door for diverse functionalized photonic devices, ranging from
Ning An+8 more
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Chip-based optical frequency combs for high-capacity optical communications
Current fibre optic communication systems owe their high-capacity abilities to the wavelength-division multiplexing (WDM) technique, which combines data channels running on different wavelengths, and most often requires many individual lasers.
Hao Hu, L. Oxenløwe
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Deep Learning-Based Robust Visible Light Positioning for High-Speed Vehicles
Robustness is a key factor for real-time positioning and navigation, especially for high-speed vehicles. While visible light positioning (VLP) based on LED illumination and image sensors is widely studied, most of the VLP systems still suffer from the ...
Danjie Li+12 more
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Envelope tracking of a radio frequency amplifier for Long Term Evolution using a three-level class-G modulator [PDF]
In this contribution, efficiency enhancement of a radio frequency (RF) power amplifier (PA) for Long Term Evolution (LTE) base stations using envelope tracking is investigated. The dynamically adapted drain bias voltage is provided by a three-level class-
A. Bräckle+4 more
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Map-Assisted Constellation Design for mmWave WDM With OAM in Short-Range LOS Environment
We consider a system that integrates positioning and single-user millimeter wave (mmWave) communication, where the communication part adopts wavelength division multiplexing (WDM) and orbital angular momentum (OAM).
Yuan Wang+3 more
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Artificial Intelligence in Optical Communications: From Machine Learning to Deep Learning
Techniques from artificial intelligence have been widely applied in optical communication and networks, evolving from early machine learning (ML) to the recent deep learning (DL). This paper focuses on state-of-the-art DL algorithms and aims to highlight
Danshi Wang, M. Zhang
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