2011 Proceedings IEEE INFOCOM 2011
DOI: 10.1109/infcom.2011.5935146
|View full text |Cite
|
Sign up to set email alerts
|

On a game theoretic approach to capacity maximization in wireless networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
62
0

Year Published

2011
2011
2019
2019

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 41 publications
(62 citation statements)
references
References 15 publications
0
62
0
Order By: Relevance
“…This approach extends related works on capacity maximization on a single channel with uniform powers in SINR [1,9] and Rayleigh-fading models [5], for which no-external regret algorithms are known to converge to constant-factor approximations [2,5,6]. Closest to our approach is our companion paper [4], in which we introduce a general framework based on the LP technique to study no-external regret learning with adversarial jamming on a single channel.…”
Section: Contribution and Related Workmentioning
confidence: 69%
See 4 more Smart Citations
“…This approach extends related works on capacity maximization on a single channel with uniform powers in SINR [1,9] and Rayleigh-fading models [5], for which no-external regret algorithms are known to converge to constant-factor approximations [2,5,6]. Closest to our approach is our companion paper [4], in which we introduce a general framework based on the LP technique to study no-external regret learning with adversarial jamming on a single channel.…”
Section: Contribution and Related Workmentioning
confidence: 69%
“…For static availability, it is easy to see that previous results on no-external regret learning in [2,5] directly extend to multiple channels. When we consider varying availabilities, however, multiple channels represent a significant complication.…”
Section: Contribution and Related Workmentioning
confidence: 85%
See 3 more Smart Citations