  Recently, a mmWave-based access and backhaul integration heterogeneous
networks (HetNets) architecture (mABHetNets) has been envisioned to provide
high wireless capacity.Since the access link and the backhaul link share the
same mmwave spectral resource, a large spectrum bandwidth is occupied by the
backhaul link, which hinders the wireless access capacity improvement. To
overcome the backhaul spectrum occupation problem and improve the network
throughput in the existing mABHetNets, we introduce the cache at base stations
(BSs). In detail, by caching popular files at small base stations
(SBSs),mABHetNets can offload the backhaul link traffic and transfer the
redundant backhaul spectrum to the access link to increase the network
throughout. However, introducing cache in SBSs will also incur additional power
consumption and reduce the transmission power, which can lower the network
throughput.In this paper, we investigate spectrum partition between the access
link and the backhaul link as well as cache allocation to improve the network
throughput in mABHetNets. With the stochastic geometry tool, we develop an
analytical framework to characterize cache-enabled mABHetNets and obtain the
signal-to-interference-plus-noise ratio (SINR) distributions in line-of-sight
(LoS) and non-line-of-sight (NLoS) paths. Then we utilize the SINR distribution
to derive the average potential throughput(APT). Extensive numerical results
show that introducing cache can bring up to 80% APT gain to the existing
mABHetNets.
