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On optimal proactive and retention-aware caching with user mobility

Ahani, Ghafour (author)
Uppsala universitet,Datalogi,Optimisation
Yuan, Di (author)
Uppsala universitet,Datalogi,Optimisation
 (creator_code:org_t)
IEEE, 2018
2018
English.
In: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). - : IEEE. - 9781538663585
  • Conference paper (peer-reviewed)
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)

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Ahani, Ghafour
Yuan, Di
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