TY - GEN
T1 - Network formation games for distributed uplink tree construction in IEEE 802.16J networks
AU - Saad, Walid
AU - Han, Zhu
AU - Debbah, Mérouane
AU - Hjørungnes, Are
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - This paper investigates the problem of the formation of an uplink tree structure among the IEEE 802.16J network's relay stations (RSs) and their serving base station (MR-BS). We model the problem as a network formation game in which the RSs want to form a directed tree graph to improve their utility, in terms of the packet success rate (PSR), by using multi-hop cooperative transmission while accounting for a link maintenance cost. In this game, the relay stations engage in bilateral negotiations which result in a contractual agreement to form a directed link between each pair. For network dynamics, we propose an algorithm based on the local best responses of the RSs that converges to a local Nash network. Moreover, the proposed dynamics algorithm allows the RSs to autonomously adapt the network topology to changes in the environment due to mobility or to the presence of heterogeneous traffic. Simulation results show how the RSs can self-organize in a tree structure while improving the network's overall PSR up to 19.7% and 17.3% compared, respectively, to the cases where no RSs exist and where the RSs are directly connected to the MR-BS.
AB - This paper investigates the problem of the formation of an uplink tree structure among the IEEE 802.16J network's relay stations (RSs) and their serving base station (MR-BS). We model the problem as a network formation game in which the RSs want to form a directed tree graph to improve their utility, in terms of the packet success rate (PSR), by using multi-hop cooperative transmission while accounting for a link maintenance cost. In this game, the relay stations engage in bilateral negotiations which result in a contractual agreement to form a directed link between each pair. For network dynamics, we propose an algorithm based on the local best responses of the RSs that converges to a local Nash network. Moreover, the proposed dynamics algorithm allows the RSs to autonomously adapt the network topology to changes in the environment due to mobility or to the presence of heterogeneous traffic. Simulation results show how the RSs can self-organize in a tree structure while improving the network's overall PSR up to 19.7% and 17.3% compared, respectively, to the cases where no RSs exist and where the RSs are directly connected to the MR-BS.
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U2 - 10.1109/GLOCOM.2008.ECP.987
DO - 10.1109/GLOCOM.2008.ECP.987
M3 - Conference contribution
AN - SCOPUS:67249158479
SN - 9781424423248
T3 - GLOBECOM - IEEE Global Telecommunications Conference
SP - 5165
EP - 5169
BT - 2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
T2 - 2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Y2 - 30 November 2008 through 4 December 2008
ER -