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In this paper sequential detection problems are treated in the context of cognitive biases. We present a general bias model and we design a generalized sequential probability ratio test (GSPRT) to mitigate the bias impact following a composite hypothesis testing approach. We also derive an optimal ordering of the incoming observations for fast detection(More)
Decades of research indicate that humans are not rational decision-makers. Our decisions and assessments of situations we encounter and other individuals or groups are sometimes flawed because they are based on a limited acquisition and rational analysis of information, and strongly influenced by our past experiences. We develop in this paper mathematical(More)
—We define a multiaccess communication scheme that effectively eliminates interference and resolves collisions in many-to-one and many-to-many communication scenarios. Each transmitter is uniquely identified by a steering vector. All signals issued from a specific transmitter will be steered into the same single-dimensional or double-dimensional subspace at(More)
The manner and order in which data is presented to a human observer can lead the human to make dramatically different decisions. This raises a question on how to best present data to an observer to achieve the best decision-making performance and minimum adverse effects. In this paper, we present a general framework to model cognitive biases that interfere(More)
Human decision-making is adversely affected by cognitive biases. In this paper we construct an example that incorporates an anchor-and-adjustment model for belief-updating when information is presented sequentially to a human. We prove that different orderings of the same information pieces impact the human decision-making by deriving closed-form(More)
The explosion in the mobile broadband data usage and the advent of applications with different uplink and downlink quality of service requirements has triggered an increased interest in time division duplexing (TDD) systems. Despite the flexibility it offers in dynamically changing the uplink and downlink transmission schedules according to the traffic(More)
Interference shapes the interplay between capacity and coverage in cellular networks. However, interference is nondeterministic and depends on various system and channel parameters including user scheduling, frequency reuse, and fading variations. We present an analytical approach for modeling the distribution of intercell interference in the downlink of(More)
—Interference shapes the interplay between capacity and coverage in cellular networks. However, interference is non-deterministic and depends on various system and channel parameters including user scheduling, frequency reuse, and fading variations. We present an analytical approach for modeling the distribution of intercell interference in the downlink of(More)
Opportunistic spectrum access in cellular networks allows secondary users to dynamically access the licensed spectrum unused by the primary cellular users. This facilitates the efficient utilization of spectrum and enables dynamic traffic offloading to small cells or device-to-device links in cognitive heterongeneous network scenarios. In this paper, we(More)
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