0000000000589217
AUTHOR
I. Tinnirello
Wireless software and hardware platforms for flexible and Unified Radio and Network Control (WiSHFUL)
In the last years, we have assisted to an impressive evolution of wireless technologies for short distance communication (like IEEE 802.11, IEEE 802.15.4. Bluetooth Low Energy, etc.) due to the need of coping with the heterogeneous requirements of emerging applications, such as Internet of things, the Industry 4.0, the Tactile Internet, the ambient assistant living, and so on. Indeed, for optimizing the technology performance in these scenarios, it is often required to support some forms of protocol adaptation, by allowing the dynamic reconfiguration of protocol parameters and the dynamic activation of optional mechanisms, or some targeted protocol extensions.In both cases, prototyping, tes…
On the accuracy of some common modeling assumptions for EDCA analysis
Several models have been discussed in literature in order to evaluate the performance of the EDCA differentiation mechanisms. Despite of the exponential back off rules, usually the EDCA protocol has been modeled as a persistent slotted access protocol, and summarized into a set of access probabilities. These models often show a very different complexity and accuracy, according to the basis assumptions. In this paper, we propose a new modeling approach for EDCA, in which the medium access is described in terms of backoff counter comparisons, contention by contention, and no restrictive hypothesis is considered. Through our model, we verify the applicability of the most common protocol simpli…
Dynamic Adaptations of WiFi Channel Widths Without TX/RX Coordination
Most modern standards for wireless communications support physical layer adaptations, in terms of dynamic selection of channel central frequency, transmission power, modulation format, etc., in order to increase link robustness under time-varying propagation and interference conditions. In this demo, we demonstrate that another powerful solution for extending physical layer flexibility in OFDM-based technologies is the dynamic adaptation of the channel width. Although some standards already define the possibility of utilizing multiple channel widths (e.g. 20MHz, 10MHz, 5MHz forIEEE 802.11a standards), such an utilization is limited to a static configuration of a value defined during the net…
Flexible and Modular Support for Multicast Rate Adaptation in WLANs
The flexibility and virtualization capabilities provided by wireless cards have received significant attention as a means to reduce development costs. In this paper we present a modular architecture that exploits the features provided by emerging PHY and MAC implementations to rapidly develop new rate adaptation algorithms for multicast trans- mission in wireless LANs. We validate our solution by developing three rate adapta- tion algorithms that use an innovative sensing mechanism to evaluate the frame recep- tion correlation of the members of the multicast group. The experimental results obtained on a real-life testbed show that our solutions permit to increase the performance of multicas…
An Inter-Technology Communication Scheme for WiFi/ZigBee Coexisting Networks
In this paper we show how inter-technology interference can be exploited to set-up a low-rate bi-directional communication channel between heterogeneous technologies, which coexist in ISM bands. In particular, we focus on WiFi and ZigBee networks, whose high density deployments make coexistence a critical issue. We monitor the transmission duration of the interference and, after recognizing ZigBee interference from WiFi off-the-shelf receivers, we precisely measure the channel busy intervals to map time duration to communication symbols. A similar approach is used on the ZigBee receivers for making the communication channel bidirectional. Extensive experimental results show the feasibility …
Detection of Hate Speech Spreaders using Convolutional Neural Networks
In this paper we describe a deep learning model based on a Convolutional Neural Network (CNN). The model was developed for the Profiling Hate Speech Spreaders (HSSs) task proposed by PAN 2021 organizers and hosted at the 2021 CLEF Conference. Our approach to the task of classifying an author as HSS or not (nHSS) takes advantage of a CNN based on a single convolutional layer. In this binary classification task, on the tests performed using a 5-fold cross validation, the proposed model reaches a maximum accuracy of 0.80 on the multilingual (i.e., English and Spanish) training set, and a minimum loss value of 0.51 on the same set. As announced by the task organizers, the trained model presente…
Making IEEE 802.11 wireless access programmable
In this paper, we present a modular Layer 2 architecture which makes wireless access in {IEEE}~802.11 networks programmable and thus opens the door for broader range of enhancements. We show the power of the proposed architecture by presenting a number of innovative solutions for infrastructure, direct links and mesh cases. Early prototyping results are publicly available and can be used to develop solutions not so strictly bounded by legacy access rules, to quicker and more accurately meet evolving user demands.