TY - GEN
T1 - Design and analysis of intervention mechanisms in power control games
AU - Xiao, Yuanzhang
AU - Park, Jaeok
AU - Van Der Schaar, Mihaela
PY - 2011
Y1 - 2011
N2 - We study the power control problem in wireless ad hoc networks with selfish users. Without incentive mechanisms, selfish users transmit at their maximum power levels at the Nash equilibrium (NE), causing significant interference to each other. In order to induce users to transmit at desired power levels, existing works have proposed pricing and auctions as incentive mechanisms. With pricing or auctions, it is explicitly stated or implicitly assumed that the users are obedient, in that they adopt the utility functions designed by the system and accept the prices as control signals. In this paper, we use the intervention mechanism to incentivize selfish users to achieve efficient outcomes as the (unique) NE. In the intervention mechanism, a system designer prescribes a intervention rule and uses a intervention device to execute it. Depending on the monitoring technology and intervention capability of the intervention device, we propose two types of intervention rules with different performance and complexity tradeoffs. We study the performance achievable by the proposed intervention rules, as well as the design principles for different intervention rules. We prove that all the Pareto boundary can be achieved as the NE or even the unique NE of the game with intervention. Simulation results demonstrate the performance improvement achieved when using different intervention rules and illustrate performance analysis on different intervention rules.
AB - We study the power control problem in wireless ad hoc networks with selfish users. Without incentive mechanisms, selfish users transmit at their maximum power levels at the Nash equilibrium (NE), causing significant interference to each other. In order to induce users to transmit at desired power levels, existing works have proposed pricing and auctions as incentive mechanisms. With pricing or auctions, it is explicitly stated or implicitly assumed that the users are obedient, in that they adopt the utility functions designed by the system and accept the prices as control signals. In this paper, we use the intervention mechanism to incentivize selfish users to achieve efficient outcomes as the (unique) NE. In the intervention mechanism, a system designer prescribes a intervention rule and uses a intervention device to execute it. Depending on the monitoring technology and intervention capability of the intervention device, we propose two types of intervention rules with different performance and complexity tradeoffs. We study the performance achievable by the proposed intervention rules, as well as the design principles for different intervention rules. We prove that all the Pareto boundary can be achieved as the NE or even the unique NE of the game with intervention. Simulation results demonstrate the performance improvement achieved when using different intervention rules and illustrate performance analysis on different intervention rules.
UR - http://www.scopus.com/inward/record.url?scp=84863164108&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863164108&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2011.6134160
DO - 10.1109/GLOCOM.2011.6134160
M3 - Conference contribution
AN - SCOPUS:84863164108
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 -