A5041377098- Cooperative Communication and Network Coding
- Advanced MIMO Systems Optimization
- Advanced Wireless Network Optimization
- Cloud Computing and Resource Management
- Wireless Networks and Protocols
- Ultra-Wideband Communications Technology
- IoT and Edge/Fog Computing
- Vehicular Ad Hoc Networks (VANETs)
- Wireless Communication Networks Research
- Advanced Wireless Communication Techniques
- Millimeter-Wave Propagation and Modeling
- Antenna Design and Analysis
- Mobile Ad Hoc Networks
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Cognitive Radio Networks and Spectrum Sensing
- Software-Defined Networks and 5G
- Network Traffic and Congestion Control
- Transportation and Mobility Innovations
- Energy Harvesting in Wireless Networks
- Interconnection Networks and Systems
- Traffic control and management
- Energy Efficient Wireless Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Age of Information Optimization
Polytechnic University of Bari
2023-2024
Consorzio Nazionale Interuniversitario per le Telecomunicazioni
2024
University of Surrey
2021-2023
European Commission
2023
General Motors (United States)
2023
University of Calabria
2020-2021
Sapienza University of Rome
2007-2017
Kanto Gakuin University
2014
AT4 wireless (Spain)
2014
Providing real-time cloud services to Vehicular Clients (VCs) must cope with delay and delay-jitter issues. Fog computing is an emerging paradigm that aims at distributing small-size self-powered data centers (e.g., nodes) between remote Clouds VCs, in order deliver data-dissemination the connected VCs. Motivated by these considerations, this paper, we propose test energy-efficient adaptive resource scheduler for Networked Centers (NetFCs). They operate edge of vehicular network are served...
Big data stream mobile computing is proposed as a paradigm that relies on the convergence of broadband Internet networking and real-time cloud computing. It aims at fostering rise novel self-configuring integrated computing-communication platforms for enabling in real time offloading processing big streams acquired by resource-limited mobile/wireless devices. This position article formalizes this paradigm, discusses its most significant application opportunities, outlines major challenges...
In this paper, we design and test the performance of a distributed adaptive resource management controller, which allows optimal exploitation cognitive radio soft-input/soft-output data fusion in vehicular access networks. The goal is to allow energy computing-limited car smartphones utilize available vehicle-to-infrastructure (V2I) WiFi connections for performing traffic offloading toward local or remote clouds by opportunistically acceding spectral-limited wireless backbone built up...
In this paper, we propose a traffic engineering-based adaptive approach to dynamically reconfigure the computing-plus-communication resources of networked data centers which support in real-time service requirements mobile clients connected by TCP/IP energy-limited wireless backbones. The goal is maximize energy-efficiency, while meeting hard QoS on delivered transmission rate and processing delay. order cope with (possibly, unpredictable) fluctuations offered workload, proposed optimal...
Live virtual machine migration aims at enabling the dynamic balanced use of networking/computing physical resources virtualized data-centers, so to lead reduced energy consumption. Here, we analytically characterize, prototype in software and test an optimal bandwidth manager for live VMs wireless channel. In this paper present tunable-complexity (TCBM) QoS under a channel from smartphone access point. The goal is minimization migration-induced communication service level agreement...
In the last decade, attention on unmanned aerial vehicles has rapidly grown, due to their ability help in many human activities. Among widespread benefits, one of most important uses regards possibility distributing wireless connectivity users a specific coverage area. this study, we focus our these new kinds networks, called flying ad-hoc networks. As stated literature, they are suitable for all emergency situations where traditional networking paradigm may have issues or difficulties be...
In this paper, we focus on the quality-of-service (QoS)-constrained jointly optimal congestion control, network coding, and adaptive distributed power control for connectionless wireless networks affected by multiple access interference (MAI). The goal is to manage available resources, so as support multicast sessions with QoS requirements when intrasession coding (NC) allowed. To cope nonconvex nature of resulting cross-layer optimization problem, propose a two-level decomposition that...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents an optimized spatial signal shaping for multiple-input–multiple-output (MIMO) “<emphasis emphasistype="boldital">ad hoc</emphasis>”-like networks. It is adopted maximizing the information throughput of pilot-based multiantenna systems that are affected by spatially colored <emphasis emphasistype="boldital">multiple access interference</emphasis> (MAI) and channel estimation...
In this contribution, we develop a (novel) fam- ily of Multiple-Input Multiple-Output (MIMO) UWB Impulse-Radio (UWB-IR) transceivers for Orthogonal PPM- modulated (OPPM) coded transmissions over (baseband) multipath-faded MIMO channels. To by-pass expensive channel-estimation procedures, the channel path- gains are assumed to be fully unknown at receiver. Thus, according UWB-IR statistical channel-models currently reported in literature both indoor/outdoor application scenarios, and analyze...
In developing new applications for green wireless media, power-efficient paradigms and distributed platforms pervasive sensing, efficient fusion, QoE dissemination, real-time recovery of multimedia data are paramount importance. particular, these topics challenging in MWSN to be compliant with the media paradigm. this article, we review current state art MWSNs, reference mobile users remote applications. At first, most relevant aspects regarding storage, transmission, retrieval reviewed...
With the rise of both embedded technologies and Internet Things (IoT) integration, it is increasingly possible to realize complex systems in which, for example, vehicles are connected IoT domain capable interacting directly with applications on mobile or devices. In this work, a Machine (M2M) based platform able recognize driving style will be presented. An device (On-Board Diagnostic (OBD)) has been considered implement Vehicles (IoV) paradigm exporting recognized data other promote an...
The expected pervasive use of mobile cloud computing and the growing number Internet data centers have brought forth many concerns, such as, energy costs saving management both connections. Therefore, need for adaptive distributed resource allocation schedulers minimizing communication-plus-computing consumption has become increasingly important. In this paper, we propose test an efficient dynamic provisioning scheduler that jointly minimizes computation communication consumption, while...
This paper focuses on the QoS-constrained jointly optimal adaptive distributed source coding, channel network coding and power control for Co-Channel Interference (CCI)-limited wireless multiple class multicast networks, such as, example, Wireless Sensor Networks (WSNs). The goal is to allocate available system-wide resources by performing Loss-Less Distributed Source Coding (LLDSC) Intra-Session Network (ISNC), while leveraging CCI-mitigation. Due presence of CCI, resulting cross-layer...
We design and test a distributed adaptive resource management controller in Vehicular Access Networks, allowing energy computing-limited car smart phones to opportunistically accede spectral-limited wireless backbone. cast the problem into suitable constrained stochastic Network Utility Maximization derive optimal cognitive controller, which dynamically allocates access time-windows at serving Roadside Units (i.e., primary users) rates traffic flows served Clients secondary users), hard...
A novel carrier sense multiple access strategy with collision avoidance (CSMA/CA) balancing contention probability and channel time is proposed. The approach can be applied to any context where the computational simplicity of MAC must preferred complexity strategy. Our MAC, called Delay-Collision CSMA (DC-CSMA), a slotted nonpersistent CSMA/CA nonuniform distribution, designed reduce at same latency contenders preserve high successful probability. An utility function aiming equalizing...
In this paper, a primary-secondary resource-management controller on Vehicular Networks is designed and tested. We cast the problem into suitable constrained stochastic Network Utility Maximization derive optimal cognitive resource management controller, which dynamically allocates access time-windows. provide steady-state memoryless controllers under hard soft collision constraints, showing as does not present any optimality gap in average utility with respect to one, while, contrary, it...