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Federico Calì

dblp:61/6878 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2000
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 4 · 4 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
3 papers
Wireless networking · 98% Network performance modeling · 2%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking
medium access control
0.132000
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit · IEEE/ACM Trans. Netw. 2000
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism · IEEE J. Sel. Areas Commun. 2000
IEEE 802.11 Wireless LAN: Capacity Analysis and Protocol Enahncement · INFOCOM 1998
Wireless networking › WLAN
IEEE 802.11 MAC
0.122000
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit · IEEE/ACM Trans. Netw. 2000
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism · IEEE J. Sel. Areas Commun. 2000
Wireless networking
WLAN
0.122000
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit · IEEE/ACM Trans. Netw. 2000
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism · IEEE J. Sel. Areas Commun. 2000
Wireless networking › random access
adaptive backoff
0.012000
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism · IEEE J. Sel. Areas Commun. 2000
Wireless networking › medium access control
backoff algorithm
0.012000
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism · IEEE J. Sel. Areas Commun. 2000
Wireless networking › wireless network optimization
throughput optimization
0.012000
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit · IEEE/ACM Trans. Netw. 2000
Network performance modeling
throughput analysis
0.011998
IEEE 802.11 Wireless LAN: Capacity Analysis and Protocol Enahncement · INFOCOM 1998

Methods — techniques the papers use, named apart from their topics

simulation · 0.1analytical modeling · 0.1
YearPublicationVenuePosition
2000 Dynamic IEEE 802.11: Design, Modeling and Performance Evaluation
Federico Calì, Marco Conti, Enrico Gregori
NETWORKING1
2000 IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism
abstract
In WLANs, the medium access control (MAC) protocol is the main element that determines the efficiency of sharing the limited communication bandwidth of the wireless channel. The fraction of channel bandwidth used by successfully transmitted messages gives a good indication of the protocol efficiency, and its maximum value is referred to as protocol capacity. In a previous paper we have derived the theoretical limit of the IEEE 802.11 MAC protocol capacity. In addition, we showed that if a station has an exact knowledge of the network status, it is possible to tune its backoff algorithm to achieve a protocol capacity very close to its theoretical bound. Unfortunately, in a real case, a station does not have an exact knowledge of the network and load configurations (i.e., number of active stations and length of the message transmitted on the channel) but it can only estimate it. In this work we analytically study the performance of the IEEE 802.11 protocol with a dynamically tuned backoff based on the estimation of the network status. Results obtained indicate that under stationary traffic and network configurations (i.e., constant average message length and fixed number of active stations), the capacity of the enhanced protocol approaches the theoretical limits in all the configurations analyzed. In addition, by exploiting the analytical model, we investigate the protocol performance in transient conditions (i.e., when the number of active stations sharply changes).
Federico Calì, Marco Conti, Enrico Gregori
IEEE J. Sel. Areas Commun.1
2000 Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit
abstract
In wireless LANs (WLANs), the medium access control (MAC) protocol is the main element that determines the efficiency in sharing the limited communication bandwidth of the wireless channel. In this paper we focus on the efficiency of the IEEE 802.11 standard for WLANs. Specifically, we analytically derive the average size of the contention window that maximizes the throughput, hereafter theoretical throughput limit, and we show that: 1) depending on the network configuration, the standard can operate very far from the theoretical throughput limit; and 2) an appropriate tuning of the backoff algorithm can drive the IEEE 802.11 protocol close to the theoretical throughput limit. Hence we propose a distributed algorithm that enables each station to tune its backoff algorithm at run-time. The performances of the IEEE 802.11 protocol, enhanced with our algorithm, are extensively investigated by simulation. Specifically, we investigate the sensitiveness of our algorithm to some network configuration parameters (number of active stations, presence of hidden terminals). Our results indicate that the capacity of the enhanced protocol is very close to the theoretical upper bound in all the configurations analyzed.
Federico Calì, Marco Conti, Enrico Gregori
IEEE/ACM Trans. Netw.1
1998 IEEE 802.11 Wireless LAN: Capacity Analysis and Protocol Enahncement
abstract
In WLAN the medium access control (MAC) protocol is the main element for determining the efficiency in sharing the limited communication bandwidth of the wireless channel. This paper focuses on the efficiency of the IEEE 802.11 standard for wireless LANs. Specifically, we derive an analytical formula for the protocol capacity. From this analysis we found (i) the theoretical upper bound of the IEEE 802.11 protocol capacity; (ii) that the standard can operate very far from the theoretical limits depending on the network configuration; (iii) that an appropriate tuning of the backoff algorithm can drive the IEEE 802.11 protocol close to its theoretical limits. Hence we propose a distributed algorithm which enables each station to tune its backoff algorithm at run-time. The performances of the IEEE 802.11 protocol, enhanced with our algorithm, are investigated via simulation. The results indicate that the enhanced protocol is very close to the maximum theoretical efficiency.
Federico Calì, Marco Conti, Enrico Gregori
INFOCOM1