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Dive into the research topics where Fabio Mesiti is active.

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Featured researches published by Fabio Mesiti.


IEEE Transactions on Wireless Communications | 2008

Saturation throughput analysis of IEEE 802.11 in the presence of non ideal transmission channel and capture effects

Fred Daneshgaran; Massimiliano Laddomada; Fabio Mesiti; Marina Mondin; Massimiliano Zanolo

In this paper, we provide a throughput analysis of the IEEE 802.11 protocol at the data link layer in non-saturated traffic conditions taking into account the impact of both transmission channel and capture effects in Rayleigh fading environment. The impact of both non-ideal channel and capture become important in terms of the actual observed throughput in typical network conditions whereby traffic is mainly unsaturated, especially in an environment of high interference. We extend the multi-dimensional Markovian state transition model characterizing the behavior at the MAC layer by including transmission states that account for packet transmission failures due to errors caused by propagation through the channel, along with a state characterizing the system when there are no packets to be transmitted in the buffer of a station. Finally, we derive a linear model of the throughput along with its interval of validity. Simulation results closely match the theoretical derivations confirming the effectiveness of the proposed model.


IEEE Transactions on Wireless Communications | 2010

On the throughput performance of multirate IEEE 802.11 networks with variable-loaded stations: analysis, modeling, and a novel proportional fairness criterion

Massimiliano Laddomada; Fabio Mesiti; Marina Mondin; Fred Daneshgaran

This paper focuses on multirate IEEE 802.11 Wireless LAN employing the mandatory Distributed Coordination Function (DCF) option. Its aim is threefold. Upon starting from the multi-dimensional Markovian state transition model proposed by Malone et.al. for characterizing the behavior of the IEEE 802.11 protocol at the Medium Access Control layer, it presents an extension accounting for packet transmission failures due to channel errors. Second, it establishes the conditions under which a network constituted by N stations, each station transmitting with its own bit rate, Rd(s), and packet rate, λs, can be assumed loaded. Finally, it proposes a modified Proportional Fairness (PF) criterion, suitable for mitigating the rate anomaly problem of multirate loaded IEEE 802.11 Wireless LANs, employing the mandatory DCF option. Compared to the widely adopted assumption of saturated network, the proposed fairness criterion can be applied to general loaded networks. The throughput allocation resulting from the proposed algorithm is able to greatly increase the aggregate throughput of the DCF, while ensuring fairness levels among the stations of the same order as the ones guaranteed by the classical PF criterion. Simulation results are presented for some sample scenarios, confirming the effectiveness of the proposed criterion for optimized throughput allocation.


IEEE Communications Letters | 2007

On the Linear Behaviour of the Throughput of IEEE 802.11 DCF in Non-Saturated Conditions

Fred Daneshgaran; Massimiliano Laddomada; Fabio Mesiti; Marina Mondin

We propose a linear model of the throughput of the IEEE 802.11 distributed coordination function (DCF) protocol at the data link layer in non-saturated traffic conditions. We show that the throughput is a linear function of the packet arrival rate (PAR) lambda with a slope depending on both the number of contending stations and the average payload length. We also derive the interval of validity of the proposed model by showing the presence of a critical lambda, above which the station begins operating in saturated traffic conditions. The analysis is based on the multi-dimensional Markovian state transition model proposed by Liaw et al. with the aim of describing the behaviour of the MAC layer in unsaturated traffic conditions. Simulation results closely match the theoretical derivations, confirming the effectiveness of the proposed linear model.


global communications conference | 2007

A Model of the IEEE 802.11 DCF in Presence of Non Ideal Transmission Channel and Capture Effects

E.F. Daneshgaran; Massimiliano Laddomada; Fabio Mesiti; Marina Mondin

In this paper, we provide a throughput analysis of the IEEE 802.11 protocol at the data link layer in non- saturated traffic conditions taking into account the impact of both transmission channel and capture effects in Rayleigh fading environment. Impacts of both non-ideal channel and capture become important in terms of the actual observed throughput in typical network conditions whereby traffic is mainly unsaturated, specially in an environment of high interference. We extend the multi-dimensional Markovian state transition model characterizing the behavior at the MAC layer by including transmission states that account for packet transmission failures due to errors caused by propagation through the channel, along with a state characterizing the system when there are no packets to be transmitted in the buffer of a station.


wireless communications and networking conference | 2008

Modelling and Analysis of the Distributed Coordination Function of IEEE 802.11 with Multirate Capability

Fred Daneshgaran; Massimiliano Laddomada; Fabio Mesiti; Marina Mondin

The aim of this paper is twofold. On one hand, it presents a multi-dimensional Markovian state transition model characterizing the behavior at the medium access control (MAC) layer by including transmission states that account for packet transmission failures due to errors caused by propagation through the channel, along with a state characterizing the system when there are no packets to be transmitted in the queue of a station (to model non-saturated traffic conditions). On the other hand, it provides a throughput analysis of the IEEE 802.11 protocol at the data link layer in both saturated and non-saturated traffic conditions taking into account the impact of both transmission channel and multirate transmission in Rayleigh fading environment. Simulation results closely match the theoretical derivations confirming the effectiveness of the proposed model.


personal satellite services | 2010

Novel Techniques for Information Reconciliation, Quantum Channel Probing and Link Design for Quantum Key Distribution

Marina Mondin; Fred Daneshgaran; Maria Teresa Delgado; Fabio Mesiti

In this manuscript, a novel technique for forward error correction based information reconciliation is proposed, exploiting capacity achieving soft-metric based iteratively decoded block codes. The availability of soft metric and information bits reliability is also employed to efficiently perform channel probing and privacy amplification.


consumer communications and networking conference | 2009

On the Throughput Allocation for Proportional Fairness in Multirate IEEE 802.11 DCF

Fred Daneshgaran; Massimiliano Laddomada; Fabio Mesiti; Marina Mondin

This paper presents a modified proportional fairness (PF) criterion suitable for mitigating the \textit{rate anomaly} problem of multirate IEEE 802.11 Wireless LANs employing the mandatory Distributed Coordination Function (DCF) option. Compared to the widely adopted assumption of saturated network, the proposed criterion can be applied to general networks whereby the contending stations are characterized by specific packet arrival rates,


Proceedings of SPIE | 2010

Soft-metric-based information reconciliation techniques for QKD

Marina Mondin; Fred Daneshgaran; Maria Teresa Delgado; Fabio Mesiti

\lambda_s


Archive | 2013

Capacity-Approaching Channel Codes for Discrete Variable Quantum Key Distribution (QKD) Applications

Maria Teresa Delgado Alizo; Inam Bari; Fred Daneshgaran; Fabio Mesiti; Marina Mondin; Francesca Vatta

, and transmission rates


applied sciences on biomedical and communication technologies | 2010

Analysis and design of parallel concatenated channel codes for Quantum Key Distribution (QKD) applications

Francesca Vatta; Raffaele Romano; Fabio Mesiti

R_d^{s}

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Fred Daneshgaran

California State University

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E.F. Daneshgaran

California State University

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