Concept

History of broadcasting

Publications associées (14)

Oracular Byzantine Reliable Broadcast

Rachid Guerraoui, Manuel José Ribeiro Vidigueira, Martina Camaioni, Matteo Monti

Byzantine Reliable Broadcast (BRB) is a fundamental distributed computing primitive, with applications ranging from notifications to asynchronous payment systems. Motivated by practical consideration, we study Client-Server Byzantine Reliable Broadcast (CS ...

Schloss Dagstuhl - Leibniz-Zentrum für Informatik2022

Profit Optimization for Wireless Video Broadcasting Systems Based on Polymatroidal Analysis

Pascal Frossard, Yiqiang Chen

This study addresses the problem of profit maximization between wireless service providers (WSPs) and content providers (CPs) in wireless broadcasting systems, while simultaneously providing high quality of experience for end-users (EUs). We first study th ...

2015

Creating Secrets out of Erasures

Christina Fragouli, Suhas Diggavi, Panagiotis Kostopoulos

Current security systems often rely on the adversary's computational limitations. Wireless networks offer the opportunity for a different, complementary kind of security, which relies on the adversary's limited network presence (i.e., that the adversary ca ...

2013

Broadcasting Nested Message Sets

Suhas Diggavi, Vinod Malathidevi Prabhakaran, Shirin Saeedi Bidokhti

In this paper, we take a deterministic approach to the problem of broadcasting nested message sets. We mainly consider the scenario where a common message and a private message are to be encoded into a signal and transmitted over a broadcast channel toward ...

2012

Optimal Spectral Feature Detection for Spectrum Sensing at Very Low SNR

Ali H. Sayed, Wenyi Zhang

Spectrum sensing is one of the enabling functionalities for cognitive radio systems to operate in the spectrum white space. To protect the primary incumbent users from interference, the cognitive radio is required to detect incumbent signals at very low si ...

IEEE2011

Spectrum Sensing by Cognitive Radios at Very Low SNR

Ali H. Sayed, Wenyi Zhang

Spectrum sensing is one of the enabling functionalities for cognitive radio (CR) systems to operate in the spectrum white space. To protect the primary incumbent users from interference, the CR is required to detect incumbent signals at very low signal-to- ...

IEEE2009

SLA-Aware Adaptive On-demand Data Broadcasting in Wireless Environments

Adrian Daniel Popescu

In mobile and wireless networks, data broadcasting for popular data items enables the efficient utilization of the limited wireless bandwidth. However, efficient data scheduling schemes are needed to fully exploit the benefits of data broadcasting. This mo ...

IEEE2009

An Architecture for TV Content Distributed Search and Retrieval Using the MPEG Query Format (MPQF)

Frédéric Dufaux

Traditional broadcasting of TV contents begins to coexist with new models of user aware content delivery. The definition of interoperable interfaces for precise content search and retrieval between the different involved parties is a requirement for the de ...

2008

Broadcast and Slepian-Wolf multicast over Aref Networks

Satish Babu Korada, Dinkar Vasudevan

We consider source coding over Aref networks. In particular we consider the following two problems: (i) multicasting correlated sources to a set of receivers, (ii) broadcasting sources to their respective receivers. For the first problem we show necessary ...

2008

Online Broadcasting with Network Coding

Christina Fragouli, Lorenzo Keller

Consider a source broadcasting M packets to N receivers over independent erasure channels, where perfect feedback is available from the receivers to the source, and the source is allowed to use coding. We investigate offline and online algorithms that opti ...

2008

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search