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The application of mathematical analysis to the study of wireless ad hoc networks has met with limited success due to the complexity of mobility and traffic models, the dynamic topology, and the unpredictability of link quality that characterize such networks. The ability to model individual, independent decision makers whose actions potentially affect all(More)
— A framework to construct convergent interference avoidance (IA) algorithms in networks with multiple distributed receivers (as in ad hoc networks) based on potential game theory is developed in this paper. This is motivated by the fact that direct extensions of distributed greedy IA techniques for centralized networks to these decentralized networks do(More)
In wireless ad hoc network medium access control (MAC) protocol design, it is important to incorporate an exclusion region around a receiver, such that nodes inside the exclusion region are not allowed to transmit, to limit the interference caused to the receiver. In this paper, we investigate the performance trends of a spread-spectrum-based network with(More)
—Direct extensions of distributed greedy interference avoidance (IA) techniques developed for centralized networks to networks with multiple distributed receivers (as in ad hoc networks) are not guaranteed to converge. Motivated by this fact, we develop a waveform adaptation (WA) algorithm framework for IA based on potential game theory. The potential game(More)
BACKGROUND In 2004, the Moldovan government introduced mandatory (social) health insurance (MHI) with the goals of sustainable health financing and improved access to services for poorer sections of the population. The government pays contributions for non-employed groups but the self-employed, which in Moldova include many agricultural workers, must(More)
—Cognitive radio (CR) is an enabling technology for numerous new capabilities such as dynamic spectrum access, spectrum markets, and self-organizing networks. To realize this diverse set of applications, CR researchers leverage a variety of artificial intelligence (AI) techniques. To help researchers better understand the practical implications of AI to(More)
When cognitive radios operate in a network, each link's adaptations impact the decisions of other cognitive radios which spawns an interactive decision processes. The existence of these interactive processes could potentially limit the deployment of cognitive radios as it is difficult to guarantee that the resulting behavior will avoid a tragedy of the(More)
In networks with transmitting users having separate un-coordinated receivers, waveform adaptation by greedy interference avoidance (IA) algorithms ([1], [2] and [3]) might not lead to fair network resource allocations. A game theoretic framework for this scenario, based on Potential game theory is presented in this paper. This model provides insight into(More)