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In this paper, a method based on multi-objective evolutionary algorithms, is described to establish a correspondence between the ancient Indus script, with its descendant, a script called Brahmi that can be easily read. Our approach, which establishes a map between one or more symbols of the Indus script with each Brahmi character, is a standard problem in combinatorial optimization. As the Indus...
-In this paper, we consider an Erlangian process model for secondary user (SU) traffic in a cognitive radio network (CRN). Unlike prior efforts that focused on Poisson traffic models, the model captures bulk arrival and departure scenarios in a frequency band that is open for opportunistic use by multiple secondary users. Specifically, we develop a Kalman filter based estimation and forecasting strategy...
In this paper, we quantify and compare the energy efficiency of amplify-and-forward (AF) and decode-and- forward (DF) schemes on a basic three node cooperative network. Total energy is calculated considering circuit energy as well as transmission energy. For AF and DF schemes, we set a target symbol error probability (SEP) and evaluate the minimum transmission energy for achieving the target SEP....
Prior research efforts on cognitive radio networks have mainly focused on effective sensing of primary users to determine the availability of a spectrum band for opportunistic use. However, when multiple secondary users compete for a limited amount of spectrum, quality of service (QoS) for these users could degrade due to interference. In this paper, we present an integrated modeling and forecasting...
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