2015 IEEE Globecom Workshops (GC Wkshps) 2015
DOI: 10.1109/glocomw.2015.7414201
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Airtime Usage Control in Virtualized Multi-Cell 802.11 Networks

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Cited by 12 publications
(8 citation statements)
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“…To solve the resulting non-convex and NP-hard optimization, first, the problem is cast into CGP by applying several transformations [15]. To reach the optimal solution of the CGP, an iterative algorithm is then developed by applying AGMA approximations and solving a series of GP problems based on the successive convex approximation (SCA) [16], [17].…”
Section: Introductionmentioning
confidence: 99%
“…To solve the resulting non-convex and NP-hard optimization, first, the problem is cast into CGP by applying several transformations [15]. To reach the optimal solution of the CGP, an iterative algorithm is then developed by applying AGMA approximations and solving a series of GP problems based on the successive convex approximation (SCA) [16], [17].…”
Section: Introductionmentioning
confidence: 99%
“…Let T n g a be the throughput of user n g at AP a and T air, n g a be the total access airtime for user n g at AP a. In [36], based on the CSMA/CA operation, it is shown that T n g a and T air, n g a can, respectively, be calculated as…”
Section: Association and Airtime Control In Virtualised 80211 Networkmentioning
confidence: 99%
“…In this section, we focus on the solution of the optimization problem and present a computationally efficient algorithm which provides a locally optimal solution. In this algorithm, by applying successive transformations, we can convert the CGP problem into a sequence of ordinary GP problems [9], [10].…”
Section: B Algorithmmentioning
confidence: 99%