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“…Cooperative caching: In cooperative caching, base stations can share cached content with each other for reducing insufficient cache utilization. 7 To achieve collaborative caching, network nodes need to know the cache status of other nodes through information exchange that may cause a lot of signaling overhead. Hence, a solution to share cache state with minimal overhead is proposed for minimizing the average download delay.…”
Section: A Brief Review Of Mecsmentioning
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“…Cooperative caching: In cooperative caching, base stations can share cached content with each other for reducing insufficient cache utilization. 7 To achieve collaborative caching, network nodes need to know the cache status of other nodes through information exchange that may cause a lot of signaling overhead. Hence, a solution to share cache state with minimal overhead is proposed for minimizing the average download delay.…”
Section: A Brief Review Of Mecsmentioning
“…The joint V2Vassisted clustering enhanced network efficiency in power savings, content caching, and vehicle sharing. A cooperative caching scheme in a multi-tier heterogeneous vehicular network (H-VNet) was proposed in [26] to enhance content delivery services while reducing transmission delay and service cost for connected vehicles. The presented scheme enables vehicles to fetch a single content from several caching servers cooperatively, taking into account cross-tier cooperation and vehicle mobility.…”
Section: Literature Reviewmentioning
“…Park et al [7] proposed a distributed proactive caching scheme in vehicular networks by taking the movement of vehicles into account. Chen et al [5] developed a cooperative edge caching scheme for connected vehicles by considering the content popularity and location. Zhang et al [8] introduced a mobilityaware cooperative caching framework.…”
Section: Related Workmentioning
“…Due to the limited caching storage at edge nodes, efficient caching schemes that manages the caching resources is necessary. Recent breakthroughs in Machine Learning (ML) facilitate many learning-based content caching schemes [3] [4] [5]. ML techniques can effectively extract hidden features and representations from users' data to accurately predict content popularity.…”
Section: Introductionmentioning