Caching popular contents at edge devices is an effective solution to alleviate the burden of the backhaul networks. Earlier investigations commonly neglected the storage cost in caching. More recently, retention-aware caching, where both the downloading cost and storage cost are accounted for, is attracting attention. Motivated by this, we address proactive and retention-aware caching problem with the presence of user mobility, optimizing the sum of the two types of costs. More precisely, a cost-optimal caching problem for vehicle-to-vehicle networks is formulated with joint consideration of the impact of the number of vehicles, cache size, storage cost, and content request probability. This is a combinatorial optimization problem. However, we derive a stream of analytical results and they together lead to an algorithm that guarantees global optimum with polynomial-time complexity. Numerical results show significant improvements in comparison to popular caching and random caching.


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    Title :

    On Optimal Proactive and Retention-Aware Caching with User Mobility


    Contributors:
    Ahani, Ghafour (author) / Yuan, Di (author)


    Publication date :

    2018-08-01


    Size :

    203137 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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