$^3$) problem, aiming to serve the most users and maximize their overall data rate. First, we formulate the DUPA$^3$ problem and prove its $\mathcal {NP}$-completeness. Then, we model the DUPA$^3$ problem as a potential DUPA$^3$ game admitting at least one Nash equilibrium and propose a two-phase game-theoretic decentralized algorithm named DUPA$^3$Game to achieve the Nash equilibrium as the solution to the DUPA$^3$ problem. To evaluate DUPA$^3$Game, we analyze its theoretical performance and conduct extensive experiments to demonstrate its effectiveness and efficiency.">

Data, User and Power Allocations for Caching in Multi-Access Edge Computing (original) (raw)

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