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In this work, we study the joint optimization of edge caching and data sponsoring for a video content provider (CP), aiming at reducing the content delivery cost and increasing the CP's revenue. Specifically, we formulate the joint optimization problem as a two-stage decision problem for the CP. In Stage I, the CP determines the edge caching policy (for a relatively long time period). In Stage II,...
Krill herd algorithm is a new heuristic global optimization algorithm based on swarm intelligence. As the parameters are critical to the algorithm performance, they should be reasonably selected while applying krill herd algorithm to solve global optimization problems. In this paper, three parameters are included in the test analysis based on the comparison of six benchmark functions. The results...
In this paper, we study a broker-based TV white space market, where unlicensed white space devices (WSDs) purchase white space spectrum from TV licensees via a third-party geo-location database (DB), which serves as a spectrum broker, reserving spectrum from TV licensees and then reselling the reserved spectrum to WSDs. We propose a contract-theoretic framework for the database’s spectrum reservation...
Providing proper economic incentives is essential for the success of dynamic spectrum sharing. Cooperative spectrum sharing is one effective way to achieve this goal. In cooperative spectrum sharing, secondary users (SUs) relay traffics for primary users (PUs), in exchange for dedicated transmission time for the SUs' own communication needs. In this paper, we study the cooperative spectrum sharing...
In this paper, we present a method based on mining maximal frequent patterns for core-attachment complexes identification in yeast protein-protein interaction networks (PINs). Our method contains of two stages. Firstly, it finds all the protein-complex cores by mining maximal frequent patterns in PIN using FP-growth method. Then it filters the redundant cores and adds the attachment proteins for each...
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