| The use of Game Theory in Software Designed Radio Networks is studied using OPNET. In order to model the spectrum usage, radio frequency interference avoidance, and distributed radio resource management, the behavior of Software Defined Radios are predicted using game theory in an analytic mathematical framework. The wireless networks consist of devices that dynamically reconfigure themselves to respond to any air-interface or data format. Interfering radios however effect the adaptation schemes used on a link by link basis. Cognitive radio is an enhancement on traditional software radio design that can help establish a design model. Cognitive radios employ a cognition cycle to alter their actions in response to changes in the environment through the use of state machines. A smart network presents particularly difficult challenges to the analysis of radio resource management, as changes that one node makes may influence the decisions that other nodes make so network planning remains a difficult task. The radios are the players in the game; the strategies in the game are based on the transmitter choosing the value of the adaptive link characteristic that maximizes the spectral efficiency, while meeting a BER constraint. The goal of the game is to maximize your winnings. Here the winnings would be for a radio to accrue the most bandwidth, or in our case, to achieve a particular performance target. Additionally, these approaches rest upon the assumption of higher-order rationality, i.e. the ability of a node to independently and recursively analyze a best response to other network nodes
OPNET’s pipeline processing can provide a solution path unavailable with other tools.
We use OPNET to model changes in waveform appearance due to the interfering effects of neighboring communication links. In order to successfully model these networks, it will be necessary to determine if the network will eventually reach a steady state. With a game theoretic analysis, these network steady states can be identified from the Nash Equilibriums of its associated game. In other traditional approaches this is not possible and demonstrates the more rapid convergence of the game results to modeling and simulation
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| Steven J. Silverman, PhD has worked in both industry and academia for over 25 years in the areas of C3I, C4ISR, and modeling and simulation, at Raytheon Network Centric Systems in Fullerton, CA. He has worked on communication design problems in JTIDS concerning test plans and procedures, as well as simulation of protocol design and receipt compliance models, Reference Architectures for Space Communications and SDR Analysis with Game Theory,frequency management, co-site interference and wireless network protocol design. Lead system integrator for CORBA and network management solutions for AT&T’s strategic long distance ( 4ESS ) network. He has had teaching and research positions at Steven’s Institute of Technology, Seton Hall University (Physics Department) and the University of California at Irvine. in the Mathematics and Computer Science Departments.
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