Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
A new kind of science
Collectives and Design Complex Systems
Collectives and Design Complex Systems
Game theory and the design of self-configuring, adaptive wireless networks
IEEE Communications Magazine
A fully distributed power control algorithm for cellular mobile systems
IEEE Journal on Selected Areas in Communications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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Power management in wireless networks has been thoroughly studied and applied in many different contexts. However, the problem has not been tackled from a multiple-agent perspective (MA). This paper intends to do so in the context of a wireless network comprised of distributed base stations using macrodiversity. The proposed design is shown to provide efficient use of macrodiversity resources and high energy efficiency when compared with more traditional algorithms. Moreover, the power control mechanism is completely decentralized, while avoiding direct information exchange or excessive signaling, which makes it highly scalable. Its auto-configuration property, stemming from its MA basis, offers high adaptivity when experiencing high or low interference levels. This leads to a naturally balanced resource usage, while also maintaining nearly full efficiency with only a reduced set of discrete power levels, thus making low-cost electronic implementation practical.