- Advanced Optical Network Technologies
- Optical Network Technologies
- Advanced Photonic Communication Systems
- Software-Defined Networks and 5G
- Cloud Computing and Resource Management
- Caching and Content Delivery
- Network Traffic and Congestion Control
- Interconnection Networks and Systems
- Peer-to-Peer Network Technologies
- Network Security and Intrusion Detection
- Software System Performance and Reliability
- Advanced MIMO Systems Optimization
- IoT and Edge/Fog Computing
- Semiconductor Lasers and Optical Devices
- Quantum Information and Cryptography
- Image and Video Quality Assessment
- Photonic and Optical Devices
- Cooperative Communication and Network Coding
- Opportunistic and Delay-Tolerant Networks
- Internet Traffic Analysis and Secure E-voting
- Millimeter-Wave Propagation and Modeling
- Advanced Wireless Communication Technologies
- Quantum Computing Algorithms and Architecture
- Complex Network Analysis Techniques
- Privacy-Preserving Technologies in Data
Politecnico di Milano
2016-2025
University of California, Davis
2015-2024
Bioengineering Technology and Systems (Italy)
2019-2024
Indraprastha Institute of Information Technology Delhi
2022
BT Group (United Kingdom)
2022
University of Cambridge
2022
Beijing University of Posts and Telecommunications
2015-2020
Ospedale San Giuseppe
2020
University of Sussex
2020
SMART Reading
2018
Today's telecommunication networks have become sources of enormous amounts widely heterogeneous data. This information can be retrieved from network traffic traces, alarms, signal quality indicators, users' behavioral data, etc. Advanced mathematical tools are required to extract meaningful these data and take decisions pertaining the proper functioning network-generated Among tools, machine learning (ML) is regarded as one most promising methodological approaches perform network-data...
Since the energy crisis and environmental protection are gaining increasing concerns in recent years, new research topics to devise technological solutions for conservation being investigated many scientific disciplines. Specifically, due rapid growth of consumption ICT (Information Communication Technologies), lot attention is devoted towards "green" solutions. In this paper, we provide a comprehensive survey most relevant activities minimizing telecom networks, with specific emphasis on...
Predicting the quality of transmission (QoT) a lightpath prior to its deployment is step capital importance for an optimized design optical networks. Due continuous advances in transmission, number parameters available system engineers (e.g., modulation formats, baud rate, code etc.) growing dramatically, thus significantly increasing alternative scenarios deployment. As today, existing (pre-deployment) estimation techniques QoT belong two categories: "exact" analytical models estimating...
Malicious jamming launched by smart jammers can attack legitimate transmissions, which has been regarded as one of the critical security challenges in wireless communications. With this focus, paper considers use an intelligent reflecting surface (IRS) to enhance anti-jamming communication performance and mitigate interference adjusting elements at IRS. Aiming against a jammer, optimization problem for jointly optimizing power allocation base station (BS) beamforming IRS is formulated while...
With the growth of traffic volume and emergence various new applications, future telecom networks are expected to be increasingly heterogeneous with respect applications supported underlying technologies employed. To address this heterogeneity, it may most cost effective set up different lightpaths at bit rates in such a backbone mesh network employing optical wavelength-division multiplexing. This approach can because low-bit-rate services will need less grooming (i.e., multiplexing other...
Survivability against disasters-both natural and deliberate attacks, spanning large geographical areas-is becoming a major challenge in communication networks. Cloud services delivered by datacenter networks yield new opportunities to provide protection disasters. require network substrate with high capacity, low latency, availability, cost, which can be optical In such networks, path failures is generally ensured providing backup the same destination (i.e., datacenter), link-disjoint...
Access networks consume a significant portion of overall Internet energy consumption. With the increase bit-rate requirements in access networks, future-proof technologies should be efficient. In this paper, we show how can build very high-throughput "green" hybrid wireless-optical broadband network (WOBAN). We devise novel energy-saving techniques for WOBAN to improve its efficiency and utilization. present mixed integer linear program (MILP) model, which acts as benchmark evaluating our...
5G mobile access targets unprecedented performance, not only in terms of higher data rates per user and lower latency, but also network intelligence capillarity. To achieve this, networks will resort to solutions as small cell deployment, multipoint coordination (CoMP, ICIC) centralized radio (C-RAN) with baseband units (BBUs) hotelling. As adopting such techniques requires a high-capacity low-latency access/aggregation support backhaul, fronthaul (i.e., digitized signal) traffic, optical...
Today's businesses increasingly rely on cloud computing, which brings both great opportunities and challenges. One of the critical challenges is resiliency: disruptions due to failures (either accidental or because disasters attacks) may entail significant revenue losses (e.g., US$ 25.5 billion in 2010 for North America). Such originate at any major components a architecture (and propagate others): 1) servers hosting application; 2) network interconnecting them (on different scales, inside...
Failures caused by disasters (e.g., weapons of mass destruction (WMD) attacks, earthquakes, hurricanes, etc.) can create huge amount loss and disruptions in optical backbone networks. Due to major network recent disasters, operators need solutions prevent connections from recover them after disasters. 1) Prevention requires proactive approaches where the damage a possible disaster should be estimated. Specifically, we propose disaster-risk-aware provisioning, which minimizes operator case...
Recent natural disasters have revealed that emergency networks presently cannot disseminate the necessary disaster information, making it difficult to deploy and coordinate relief operations. These reinforced knowledge telecommunication constitute a critical infrastructure of our society, urgency in establishing protection mechanisms against disaster-based disruptions. Hence, is important able maintain sustainable communication areas. Moreover, network architecture should be designed so...
Common Public Radio Interface (CPRI) is a successful industry cooperation defining the publicly available specification for key internal interface of radio base stations between equipment control (REC) and (RE) in fronthaul mobile networks. However, CPRI expensive to deploy, consumes large bandwidth, currently statically configured. On other hand, an Ethernet-based will be cost-efficient more easily reconfigurable. Encapsulating over Ethernet (CoE) attractive solution, but stringent...
Failure management plays a role of capital importance in optical networks to avoid service disruptions and satisfy customers' level agreements. Machine learning (ML) promises revolutionize the (mostly manual human-driven) approaches which failure has been traditionally managed, by introducing automated methods for prediction, detection, localization, identification. This tutorial provides gentle introduction some ML techniques that have recently applied field optical-network management. It...
We develop and test several machine-learning methods to perform detection identification of equipment failures in optical networks.Results, obtained over real BER traces, show above 98% accuracy most cases with reasonable algorithm complexity.
Virtualization technologies are changing the way network operators deploy and manage Internet services. In particular in this study we focus on new Network Function (NFV) paradigm, which consists instantiating Virtual (VNFs) Commercial-Off-The-Shelf (COSTS) hardware. Adopting NFV can dynamically instantiate Functions (NFs) based current demands conditions, allowing to save capital operational costs. Typically, VNFs concatenated together a sequential order form Service Chains (SCs) that...
By predicting the traffic load on network links, a operator can effectively pre-dispose resource-allocation strategies to early address, e.g., an incoming congestion event. Traffic loads different links of telecom is know be subject strong correlation, and this if properly represented, exploited refine prediction future events. Machine Learning (ML) represents nowadays state-of-the-art methodology for discovering complex relations among data. However, ML has been traditionally applied data...
In recent years, the increasing traffic demand in radio access networks (RANs) has led to considerable growth number of base stations (BSs), posing a serious scalability issue, including energy consumption BSs. Optical-access-enabled Cloud-RAN (CRAN) been recently proposed as next-generation network. CRAN, digital unit (DU) conventional cell site is separated from (RU) and moved "cloud" (DU cloud) for centralized signal processing management. Each DU/RU pair exchanges bandwidth-intensive...
Optical network security is attracting increasing research attention, as loss of confidentiality data transferred through an optical could impact a huge number users and services. Data encryption effective way to enhance security. In particular, QKD being investigated secure mechanism provide keys for at the endpoints network. QKD-enabled network, apart from TDChs, two additional channels, called QSChs PIChs, are required support key synchronization. How allocate resources QSChs, TDChs...
We investigate a machine-learning technique that predicts whether the bit-error-rate of unestablished lightpaths meets required threshold based on traffic volume, desired route and modulation format. The system is trained tested synthetic data.
Abstract Distributed Denial of Service (DDoS) attacks represent a major concern in modern Software Defined Networking (SDN), as SDN controllers are sensitive points failures the whole architecture. Recently, research on DDoS detection has focused investigation how to leverage data plane programmability, enabled by P4 language, detect directly network switches, with marginal involvement controllers. In order effectively address cybersecurity management architectures, we investigate potential...
This study investigates the survivable traffic grooming problem for elastic optical networks with flexible spectrum grid employing new transmission technologies. In such networks, instead of following traditional fixed ITU-T wavelength grid, transponders are capable properly tuning their rates, and consequently occupation, by introducing fine-granular unit, called a frequency slot. The number contiguous slots allocated to an path (i.e., lightpath) is adjusted current network flow. this...
With increasing energy consumption of the Internet, it is now imperative to design energy-efficient network architectures and protocols. Optical technologies have significant promise in improving efficiency infrastructures. Future optical backbone networks will be heterogeneous nature where a single link may carry various line-rate signals. This mixed-line-rate (MLR) architecture shown cost effective satisfying traffic demands. In this study, we present mathematical models that can act as...
As Internet traffic is estimated to substantially grow in the near future, one of most challenging issues will concern reduction its power requirement. For core/transport section Internet, various network architectures can be considered, typically multi-layer composed an optical wavelength division multiplexing (WDM) transport layer under classical electronic IP layer. Thus, we consider this paper four architectures: basic over WDM with no switching, synchronous digital hierarchy (SDH) WDM,...
The Network Functions Virtualization (NFV) paradigm is the most promising technique to help network providers in reduction of capital and energy costs. deployment virtual functions (VNFs) running on generic x86 hardware allows higher flexibility than classical middleboxes approach. NFV also reduces complexity services through concept service chaining, which defines how multiple VNFs can be chained together provide a specific service. As drawback, hosting same lead scalability issues,...