Andrea Tassi

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I earned my Ph.D. from the University of Florence in 2013. In the same year, I joined the School of Computing and Communications of Lancaster University as Postdoctoral Research Associate. In 2015, I joined the University of Bristol and the VENTURER Project. The VENTURER Consortium aims to design and deploy enabling technological solutions for self-driving vehicles. My research activity aims to design and deploy a full-stack solution enabling ultra-reliable communications among moving vehicles. My research concerns dense network scenarios characterized by: (i) delay-sensitive/safety-critical services and (ii) heterogeneous network topologies. In addition, my research activity deals with...

embms lte optimization lte-a multicast resource allocation mbms broadcast rlnc 5g video svc linux embedded wifi tec tec-lab openwrt multimedia sparse coding operational research 4g network coding h.264 ingegneria firenze madwifi wds iwconfig vap kernel driver stp random matrices green h264 sparse optimization internet-of-things m2m data science big data machine-to-machine mtm reliable communications tactile internet iot rate allocation power allocation convex modeling hostapd wpa-supplicant quagga routing vlan runlevel wpa redboot endianess little-endian big-endian crosscompilare

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Presentation of 'A Novel Convex Power Adaptation Strategy for Multicast Communications using Random Linear Network Coding Schemes'

9 years ago • 378 Views

Andrea Tassi

Presentations

Parte 1 - Linux ed i sistemi embedded per le reti (di Andrea Tassi)

Parte 2 - Linux ed i sistemi embedded per le reti (di Massimiliano Toce)

Parte 3 - Linux ed i sistemi embedded per le reti (di Riccardo Coppola)

Talk on Resource Allocation Strategies for Layered Multimedia Multicast Services

Presentation of 'A Novel Convex Power Adaptation Strategy for Multicast Communications using Random Linear Network Coding Schemes'

Presentation of 'Reliable Rate-Optimized Video Multicasting Services over LTE/LTE-A'

R2D2 Project (EP/L006251/1) - Research Objectives & Outcomes

On Optimization of Network-coded Scalable Multimedia Service Multicasting

Optimized Network-coded Scalable Video Multicasting over eMBMS Networks

Sleep Period Optimization Model For Layered Video Service Delivery Over eMBMS Networks

RLNC

Sparse Random Network Coding for Reliable Multicast Services

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