Significant Performance Advantage of Electroabsorption Modulator Integrated Distributed Feedback Laser (EML) Transmitter in Transporting Multi-carriers QAM Signals

We find that for transporting quadrature amplitude modulated (QAM) RF sub-carriers in suboctave frequency range, electroabsorption modulator integrated distributed feedback lasers (EMLs) can be modulated with significantly higher (2.5 times) modulation index without any in- band signal distortion as compared to the directly modulated and commercially available externally modulated DFB ...

ASIP Architecture Driven Algorithm Development

Application-Specific Instruction-set Processor (ASIP) is seen as an ideal solution for realizing physical layer signal processing functions in communication systems as they can offer performance similar to hard-wired implementations, while providing sufficient flexibility/programmability. Several design choices needs be made while developing an algorithm (application) for a signal processing function, such ...

Artificial Neural Networks for Linear and Non-Linear Impairment Mitigation in High-Baudrate IM/DD Systems

We propose using artificial neural networks onto IM/DD optical links to infer simultaneously the linear and non-linear channel response. We experimentally exploit this information on an 84-GBd 4-PAM system, proving up to 10x BER improvement over FFE after 1.5-km SSMF.

Estimation of the conditional distribution of an optical nonlinear channel with memory using deep neural networks

We demonstrate that deep neural networks can be used to approximate the conditional distribution of a non-linear channel with memory. This distribution is then used in the BCJR algorithm to infer the unknown transmitted data. This procedure is validated experimentally in a IM/DD 3.2 km long transmission of 64 GBd ...

A Scoring Method for the Verification of Con_x000C_guration Changes in Self-Organizing Networks

In today's mobile communication networks the increasing reliance on Self-Organizing Network (SON) features to perform the correct optimization tasks adds a new set of challenges. In a SON-enabled network, the impact of each function's action on the environment depends upon the actions of other functions as well. Therefore, the concept ...

A Framework for Cell-Association Auto Con_x000C_guration of Network Functions in Cellular Networks

Self-Organizing Networkss (SONs) introduce automation in Network Management (NM). Herein, SON functions automate the traditional NM tasks in the network. For some of these tasks, several cells must be associated together in order to achieve the intended objectives. As such, part of the process of con_x000C_guring SON function is the ...

Artificial Intelligence with Machine Learning for Knowledge-Driven Future Wireless Networks: Challenges and Opportunities

In this paper, we discuss the challenges and opportunities to embrace artificial intelligence (AI) era in the design of wireless networks. We aim to provide readers with motivation and general methodology for adoption of AI in the context of next-generation networks. First, we discuss the rise of network intelligence and ...

Sub-Baudrate Sampling at DAC and ADC for Next Generation 200G Systems

We investigate generation and detection of signals with baudrate well above the DAC and ADC sampling rates for 200-Gbps applications. We demonstrate 112 GBd OOK detection with 88 GS/s DAC and 92 GS/s ADC; as well as 100 GBd PAM4 generation with under 90 GS/s DAC

Efficient computation of approximate equilibria in discrete Colonel Blotto games

The Colonel Blotto game is a famous game commonly used to model resource allocation problems in many domains ranging from security to advertising. Two players distribute a fixed budget of resources on multiple battlefields to maximize the aggregate value of battlefields they win, each battlefield being won by the player ...

100G (4x25G) NGPON2 upgrade using novel multi-electrode burst mode laser structure to enable 100GHz channel spacing

First demonstration of a symmetrical NGPON2 upgrade to 100G (4x25G) by using a novel very wavelength stable multi-electrode burst mode laser and electrical duobinary detection with 10G APD

Marginless Operation of Field-Trial Network Experiencing ageing

Over 228km of field-deployed fiber, we demonstrate successful dynamic operation of an SDN-based optical network, free of unnecessary margins under fiber/amplifier ageing and filter ageing, leveraging directed learning of QoT from monitoring.

On the performance prediction of optical transmission systems in presence of filtering

We investigate the impact of optical filtering from routing nodes in optical networks, and how to predict it. From measurements in presence of tight optical filtering, we propose a new method relying on an extended back-to-back model for improved QoT prediction.

FOLC-SR: Fast and Optimal Loop-free IGP Convergence using Segment Routing

Large networks usually rely a link-state IGP protocol (such as IS-IS or OSPF) to route packets inside their network. In case of topology change, routers recompute their shortest paths toward each destination using Dijkstra's algorithm. Even id routers update their forwarding table (FIB) quickly, transient forwarding contradictions between routers may ...

FOLC-SR: Fast and Optimal Loop-free Convergence using Segment Routing for link-state protocols.

In large networks, operators usually rely on a link-state IGP protocol (such as IS-IS or OSPF) to route packets inside their network. In case of network topology changes, routers can efficiently recompute their shortest paths toward each destination by using the Dijkstra's algorithm. Even if routers update their forwarding table ...

System Design Considerations for Internet of Things (IoT) with category-M devices in LTE networks

Successful network deployment of the Internet of Things (IoT) requires many critical system design considerations. This paper highlights how an LTE system supporting Cat-M devices can be engineered to deal with the numerous constraints the 3GPP standard imposes for this new device type. Fundamental changes to the control channels, control ...

End-to-End VoIP and Real-Time Multimedia Peering Across MSOs and Other Service Provider IP Networks

We first present the VoIP architecture based on available technologies for ENUM-based IP-address resolution of the E.164 telephone numbers, SIP signaling between the service provider VoIP servers, IP peering between the IP/MPLS networks and end-to-end QoS for the VoIP signaling and bearer traffic, and possibly call admission control. We then ...

ORCHESTRA: Cross-layer and dynamic network orchestration based on optical performance monitoring

An optical network, like any system, has to be observable before being subject to optimization, and this is the main capability that ORCHESTRA network introduces. ORCHESTRA's high observability relies on information provided by the coherent transceivers that can be extended, almost for free, to operate as software defined optical performance ...

Deterministic Dynamic Optical Network: The enabler of Tactile Internet

The ultimate purpose of Tactile Internet is to free human beings from the burden of repetitive automatic daily tasks, so they can focus on the goal of their actions rather than how their actions are actually performed. Tactile Internet will rely on Edge Cloud, a network architecture based on distributed ...

Cost Optimized Scheduling for Optical Slot Switching Fronthaul with Zero-Jitter and Deterministic Latency

Unlike Ethernet based fronthaul network, low-cost optical slot switching "N-GREEN" network can support more easily the low-jitter and deterministic latency needed by CPRI traffic. This study proposes and evaluates a new scheduling for N-GREEN.

On the Transferability of Tilt-Dependent Radio Map Prediction Models

The fifth generation of wireless networks (5G) is expected to address many of the challenges present in current architectures by improving the quality of service, reducing latency, adding more capacity users and devices being connected to the network, and reducing power consumption, among others. In this complex scenario, Machine Learning ...