Game Theoretic Framework for Power Control in InterCell Interference Coordination. Khawam, K., Adouane, A., Lahoud, S., Tohme, S., & Cohen, J. In IFIP Networking 2014 Conference (Networking 2014), Trondheim, Norway, June, 2014. abstract bibtex Inter-Cell Interference Coordination (ICIC) is commonly identified as a key radio resource management mechanism to enhance system performance of 4G networks. This paper addresses the problem of ICIC in the downlink of cellular OFDMA systems where the power level selection process of resource blocks (RBs) is apprehended as a sub-modular game. The existence of Nash equilibriums (NE) for that type of games shows that stable power allocations can be reached by selfish Base Stations (BS). We put forward a semi distributed algorithm based on best response dynamics to attain the NEs of the modeled game. Based on local knowledge conveyed by the X2 interface in LTE (Long Term Evolution) networks, each BS will first select a pool of favorable RBs with low interference. Second, each BS will strive to fix the power level adequately on those selected RBs realizing performances comparable with the Max Power policy that uses full power on selected RBs while achieving substantial power economy. Finally, we compare the obtained results to an optimal global solution to quantify the efficiency loss of the distributed game approach. It turns out that even though the distributed game results are sub-optimal, the low degree of system complexity and the inherent adaptability make the decentralized approach promising especially for dynamic scenarios.
@inproceedings{ khawam:2014az,
abstract = {Inter-Cell Interference Coordination (ICIC) is commonly
identified as a key radio resource management mechanism to
enhance system performance of 4G networks. This paper
addresses the problem of ICIC in the downlink of cellular
OFDMA systems where the power level selection process of
resource blocks (RBs) is apprehended as a sub-modular game.
The existence of Nash equilibriums (NE) for that type of
games shows that stable power allocations can be reached by
selfish Base Stations (BS). We put forward a semi
distributed algorithm based on best response dynamics to
attain the NEs of the modeled game. Based on local
knowledge conveyed by the X2 interface in LTE (Long Term
Evolution) networks, each BS will first select a pool of
favorable RBs with low interference. Second, each BS will
strive to fix the power level adequately on those selected
RBs realizing performances comparable with the Max Power
policy that uses full power on selected RBs while achieving
substantial power economy. Finally, we compare the obtained
results to an optimal global solution to quantify the
efficiency loss of the distributed game approach. It turns
out that even though the distributed game results are
sub-optimal, the low degree of system complexity and the
inherent adaptability make the decentralized approach
promising especially for dynamic scenarios.},
address = {Trondheim, Norway},
author = {Kinda Khawam and Amine Adouane and Samer Lahoud and Samir
Tohme and Johanne Cohen},
booktitle = {IFIP Networking 2014 Conference (Networking 2014)},
days = {2},
keywords = {Power Control, non cooperative game theory, inter cell
interference coordination},
month = {June},
pdf = {https://dl.dropboxusercontent.com/u/45967765/Publications/networking-14.pdf},
title = {Game Theoretic Framework for Power Control in {InterCell}
Interference Coordination},
year = {2014}
}
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Based on local knowledge conveyed by the X2 interface in LTE (Long Term Evolution) networks, each BS will first select a pool of favorable RBs with low interference. Second, each BS will strive to fix the power level adequately on those selected RBs realizing performances comparable with the Max Power policy that uses full power on selected RBs while achieving substantial power economy. Finally, we compare the obtained results to an optimal global solution to quantify the efficiency loss of the distributed game approach. It turns out that even though the distributed game results are sub-optimal, the low degree of system complexity and the inherent adaptability make the decentralized approach promising especially for dynamic scenarios.","address":"Trondheim, Norway","author":["Khawam, Kinda","Adouane, Amine","Lahoud, Samer","Tohme, Samir","Cohen, Johanne"],"author_short":["Khawam, K.","Adouane, A.","Lahoud, S.","Tohme, S.","Cohen, J."],"bibtex":"@inproceedings{ khawam:2014az,\n abstract = {Inter-Cell Interference Coordination (ICIC) is commonly\n\t\t identified as a key radio resource management mechanism to\n\t\t enhance system performance of 4G networks. This paper\n\t\t addresses the problem of ICIC in the downlink of cellular\n\t\t OFDMA systems where the power level selection process of\n\t\t resource blocks (RBs) is apprehended as a sub-modular game.\n\t\t The existence of Nash equilibriums (NE) for that type of\n\t\t games shows that stable power allocations can be reached by\n\t\t selfish Base Stations (BS). We put forward a semi\n\t\t distributed algorithm based on best response dynamics to\n\t\t attain the NEs of the modeled game. Based on local\n\t\t knowledge conveyed by the X2 interface in LTE (Long Term\n\t\t Evolution) networks, each BS will first select a pool of\n\t\t favorable RBs with low interference. Second, each BS will\n\t\t strive to fix the power level adequately on those selected\n\t\t RBs realizing performances comparable with the Max Power\n\t\t policy that uses full power on selected RBs while achieving\n\t\t substantial power economy. Finally, we compare the obtained\n\t\t results to an optimal global solution to quantify the\n\t\t efficiency loss of the distributed game approach. It turns\n\t\t out that even though the distributed game results are\n\t\t sub-optimal, the low degree of system complexity and the\n\t\t inherent adaptability make the decentralized approach\n\t\t promising especially for dynamic scenarios.},\n address = {Trondheim, Norway},\n author = {Kinda Khawam and Amine Adouane and Samer Lahoud and Samir\n\t\t Tohme and Johanne Cohen},\n booktitle = {IFIP Networking 2014 Conference (Networking 2014)},\n days = {2},\n keywords = {Power Control, non cooperative game theory, inter cell\n\t\t interference coordination},\n month = {June},\n pdf = {https://dl.dropboxusercontent.com/u/45967765/Publications/networking-14.pdf},\n title = {Game Theoretic Framework for Power Control in {InterCell}\n\t\t Interference Coordination},\n year = {2014}\n}","bibtype":"inproceedings","booktitle":"IFIP Networking 2014 Conference (Networking 2014)","days":"2","id":"khawam:2014az","key":"khawam:2014az","keywords":"Power Control, non cooperative game theory, inter cell interference coordination","month":"June","pdf":"https://dl.dropboxusercontent.com/u/45967765/Publications/networking-14.pdf","title":"Game Theoretic Framework for Power Control in InterCell Interference Coordination","type":"inproceedings","year":"2014","bibbaseid":"khawam-adouane-lahoud-tohme-cohen-gametheoreticframeworkforpowercontrolinintercellinterferencecoordination-2014","role":"author","urls":{},"keyword":["Power Control","non cooperative game theory","inter cell interference coordination"],"downloads":0},"bibtype":"inproceedings","biburl":"http://dl.dropboxusercontent.com/u/45967765/Biblio-perso-globale-fr.bib","creationDate":"2014-10-04T18:10:56.168Z","downloads":0,"keywords":["power control","non cooperative game theory","inter cell interference coordination"],"search_terms":["game","theoretic","framework","power","control","intercell","interference","coordination","khawam","adouane","lahoud","tohme","cohen"],"title":"Game Theoretic Framework for Power Control in InterCell Interference Coordination","year":2014,"dataSources":["bsBhK3f6B6p8ijhWD"]}