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UID:298@lincs.fr
DTSTART;TZID=Europe/Paris:20170419T140000
DTEND;TZID=Europe/Paris:20170419T150000
DTSTAMP:20170405T082930Z
URL:https://www.lincs.fr/events/load-balancing-in-heterogeneous-networks-b
 ased-ondistributed-learning-in-near-potential-games/
SUMMARY:Load Balancing in Heterogeneous Networks Based onDistributed
 Learning in Near-Potential Games
DESCRIPTION:We present a novel approach for distributed load balancing in
 heterogeneous networks that use cell range expansion (CRE) for user
 association and almost blank subframe (ABS) for interference management.
 First\, we formulate the problem as a minimisation of an
 alpha−fairness objective function with load and outage
 constraints. Depending on alpha\, different objectives in terms of network
 performance or fairness can be achieved. Next\, we model the interactions
 among the base stations for load balancing as a near-potential game\, in
 which the potential function is the alpha−fairness
 function. The optimal pure Nash equilibrium (PNE) of the game is found by
 using distributed learning algorithms. We propose log-linear and binary
 log-linear learning algorithms for complete and partial information
 settings\, respectively. We give a detailed proof of convergence of
 learning algorithms for a near-potential game. We provide sufficient
 conditions under which the learning algorithms converge to the optimal PNE.
 By running extensive simulations\, we show that the proposed algorithms
 converge within few hundreds of iterations. The convergence speed in the
 case of partial information setting is comparable to that of the complete
 information setting. Finally\, we show that outage can be controlled and a
 better load balancing can be achieved by introducing ABS.Joint work with
 Pierre Coucheney\, and Marceau Coupechoux\, in IEEE Transactions on
 Wireless Communications (Vol. 15\, No. 7\, 2016).
CATEGORIES:Seminars
LOCATION:LINCS Seminars room\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.828400;2.356897
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 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS Seminars
 room:geo:48.828400,2.356897
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20170326T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
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