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Year | Paper | Research methodology | Matching mode | Proactive caching | Content type | Advantage | Disadvantage | Limitation |
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2017 | [12] | Proactive caching based on social ties | N/A | Yes | N/A | Improved throughput delay and energy efficiency | Change in popularity will affect the performance of the network | Popularity of content is not considered |
2017 | [13] | Hypergraph framework-based proactive caching | N/A | Yes | Mobile multimedia | Improved battery life and local cache gain | Under mobility, caching does not perform well | Mobility factor is not focused on |
2018 | [14] | MDS codes-based proactive caching approach | N/A | Yes | Video | High global cache hit ratio | Different video preference is not considered | Mobility is considered, but cache strategy considers only popular videos |
2019 | [5, 17] | 5G D2D communication | One to one | N/A | Mobile multimedia | Improved throughput delay and energy efficiency | The devices with high link quality are selected, which increases battery usage | Centralized approach |
2019 | [18ā20] | Cooperative D2D communication | One to many | Yes | Mobile multimedia | Battery life improved | Simultaneous request for resources by multiple demanders can result in a burden on single provider end | Centralized approach |
2020 | [8] | D2D coordination Multiple point transmission | Many to many | N/A | Mobile multimedia | Improved energy efficiency by equal distribution of resources | Mobility will affect the scalability | This approach works when demander and provider are equal and static |
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