Analysis and Optimization of Random Cache in Multi-Antenna HetNets with Interference Nulling

Abstract

From the perspective of statistical performance, this paper presents a framework for the per-user throughput analysis in random cache based multi-antenna heterogeneous networks (HetNets) with user-centric inter-cell interference nulling (IN). Using tools from stochastic geometry, an explicit expression for the per-user throughput is derived. Based on the analytical results, the optimal cache probabilities for maximizing the per-user throughput are analyzed. Theoretical analysis and numerical results reveal that the optimal random cache under interference nulling fully harvests the file diversity gain (FDG) and achieves a promising per-user throughput.

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

“…This requires us to be able to grasp the storage capacity information of caching nodes at all times and make corresponding decisions in time to actively mobilize resources. In the work of [ 149 ], a capacity-aware edge caching strategy was proposed, which is to allow the collaboration between the caching node and the cloud server and cache appropriate content in caching nodes according to the limited storage resources of the node and the connection capacity of the node and the user. However, the environment of the network is dynamically changing.…”