  Existing multicasting schemes for massive content delivery do not fully
utilize multicasting opportunities in delay tolerant content-oriented
applications. In this paper, we propose a novel temporal-spatial
aggregation-based multicasting scheme in a large-scale cache-enabled wireless
network. The proposed scheme can efficiently exploit multicasting opportunities
in asynchronous content requests to improve spectral efficiency. By making use
of the delay tolerance of elastic services, the proposed scheme achieves a
better energy-throughput-delay tradeoff. Utilizing tools from stochastic
geometry, we derive a tractable expression for the successful transmission
probability in the general region. Using asymptotic approximations, we derive
closed form successful transmission probabilities in the large delay region as
well as the large and small user density regions. The asymptotic results reveal
that the successful transmission probability increases and the energy
consumption decreases at the cost of delay increase in these asymptotic
regions. The analysis in this paper provides a new understanding of the
energy-throughput-delay tradeoff for massive content delivery in large-scale
cache-enabled wireless networks.
