Social Intelligence for Cognitive Radios

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dc.contributor.authorKaminski, Nicholas Jamesen
dc.contributor.committeechairBostian, Charles W.en
dc.contributor.committeememberHsiao, Michael S.en
dc.contributor.committeememberSturges, Robert H.en
dc.contributor.committeememberReed, Jeffrey H.en
dc.contributor.committeememberMacKenzie, Allen B.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-02-27T09:00:13Zen
dc.date.available2014-02-27T09:00:13Zen
dc.date.issued2014-02-26en
dc.description.abstractThis dissertation introduces the concept of an artificial society based on the use of an action based social language combined with the behavior-based approach to the construction of multi-agent systems to address the problem of developing decentralized, self-organizing networks that dynamically fit into their environment. In the course of accomplishing this, social language is defined as an efficient method for communicating coordination information among cognitive radios inspired by natural societies. This communication method connects the radios within a network in a way that allows the network to learn in a distributed holistic manner. The behavior-based approach to developing multi-agent systems from the field of robotics provides the framework for developing these learning networks. In this approach several behaviors are used to address the multiple objectives of a cognitive radio society and then combined to achieve emergent properties and behaviors. This work presents a prototype cognitive radio society. This society is implemented, using low complexity hardware, and evaluated. The work does not focus on the development of optimized techniques, but rather the complementary design of techniques and agents to create dynamic, decentralized self-organizing networksen
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:2289en
dc.identifier.urihttp://hdl.handle.net/10919/25786en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCognitive radio networksen
dc.subjectCognitive Engineen
dc.subjectSocial Languageen
dc.subjectSocial Learningen
dc.subjectBehavior Based Approachen
dc.subjectLTE Organizationen
dc.titleSocial Intelligence for Cognitive Radiosen
dc.typeDissertationen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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