Abstract:
F-BSs improve user experience with content caching. F-BSs’ storage size is usually small compared to their content library, so content placement must be optimized for user association (UA), networking issues, and content retransmissions.
Content-centric user association (CC-UA) is the assumption. CC-UA may decrease hit rate and energy efficiency (EE), so we propose three cache-agnostic UA schemes: baseline (CA-B), macro-to-femto (CA-M2F), and femto-to-femto (CA-F2F). CA-B backhauls content that isn’t in the cache. Communication between Macro-BSs and F-BSs improves CA-M2F performance.
Finally, CA-F2F allows F-BSs to share content on-demand using direct F2F communication. We model and analyze all these UA schemes using stochastic geometry and derive hit rate and EE performances from main system parameters.
We then analyze the performance of the developed UA-C schemes under several (heuristic) probabilistic content placement strategies. For a given content placement strategy, CA-F2F and CA-M2F outperform CC-UA and CA-B by large margins. CA-F2F grows EE 1200 percent faster than CC-UA.
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