TY - GEN
T1 - Cooperative interference alignment in femtocell networks
AU - Pantisano, Francesco
AU - Bennis, Mehdi
AU - Saad, Walid
AU - Debbah, Mérouane
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Underlay femtocells have recently emerged as a key technology that can significantly improve the coverage and performance of next- generation wireless networks. In this paper, we propose a novel approach for interference management that enables a number of femtocells to cooperate and improve their downlink rate, by sharing spectral resources and suppressing intra-tier interference using interference alignment. We formulate a coalitional game in partition form among the femtocells and propose a distributed algorithm for coalition formation. Using our approach, the femtocell access points can make individual decisions on whether to cooperate or not, while maximizing a utility function that captures the cooperative gains and the costs in terms of transmit power for information exchange. We show that, using the proposed coalition formation algorithm, the femtocells can self-organize into a network partition composed of disjoint femtocell coalitions, which constitutes the recursive core of the game. Simulation results show significant gains in terms of average payoff per femtocell, reaching up to 30% relative to the non-cooperative scheme.
AB - Underlay femtocells have recently emerged as a key technology that can significantly improve the coverage and performance of next- generation wireless networks. In this paper, we propose a novel approach for interference management that enables a number of femtocells to cooperate and improve their downlink rate, by sharing spectral resources and suppressing intra-tier interference using interference alignment. We formulate a coalitional game in partition form among the femtocells and propose a distributed algorithm for coalition formation. Using our approach, the femtocell access points can make individual decisions on whether to cooperate or not, while maximizing a utility function that captures the cooperative gains and the costs in terms of transmit power for information exchange. We show that, using the proposed coalition formation algorithm, the femtocells can self-organize into a network partition composed of disjoint femtocell coalitions, which constitutes the recursive core of the game. Simulation results show significant gains in terms of average payoff per femtocell, reaching up to 30% relative to the non-cooperative scheme.
KW - coalitional games
KW - femtocell networks
KW - game theory
KW - interference alignment
KW - partition form
KW - recursive core
UR - http://www.scopus.com/inward/record.url?scp=84857230957&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84857230957&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2011.6133906
DO - 10.1109/GLOCOM.2011.6133906
M3 - Conference contribution
AN - SCOPUS:84857230957
SN - 9781424492688
T3 - GLOBECOM - IEEE Global Telecommunications Conference
BT - 2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
T2 - 54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Y2 - 5 December 2011 through 9 December 2011
ER -