Idle sense: an optimal access method for high throughput and fairness in rate diverse wireless LANs

By Martin Heusse, Franck Rousseau, Romaric Guillier, Andrzej Duda. Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2005

558 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Game Theory in Wireless and Communication Networks (2008, background): “For the homogeneous-user case [208], the utility function is defined as”
Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective (2017, methodology): “Our motivation for considering a time-fair channel allocation scheme is to overcome the rate anomaly problem that arises when different nodes use distinct data rates, which leads to the slowest link limiting the system performance [5], [22], and [17].”
XORs in the Air: Practical Wireless Network Coding (2006, background): “The proposed solutions range from designing better routing metrics [31]–[33] to tweaking the TCP protocol [34], and include improved routing and MAC protocols [35], [36].”
XORs in the air: practical wireless network coding (2008, methodology): “The proposed solutions range from designing better routing metrics [31]–[33] to tweaking the TCP protocol [34], and include improved routing and MAC protocols [35], [ 36 ].”
The Importance of Being Opportunistic: Practical Network Coding for Wireless Environments (2005, background): “Ideally one would design a backoff scheme suitable for broadcast channels (perhaps Idle Sense [11]).”