Throughput Analysis in Cache-enabled Millimeter Wave HetNets with Access and Backhaul Integration
Chenwu Zhang, Hao Wu, Hancheng Lu, Jinxue Liu

TL;DR
This paper analyzes how caching at base stations in millimeter wave HetNets can significantly improve network throughput by offloading backhaul traffic and optimizing spectrum partitioning, using stochastic geometry for analytical modeling.
Contribution
It introduces a novel analytical framework for cache-enabled mmWave HetNets, optimizing spectrum and cache allocation to enhance throughput.
Findings
Caching can increase network throughput by up to 80%.
Spectrum partition and cache allocation significantly impact throughput.
Analytical SINR distributions are derived for LoS and NLoS paths.
Abstract
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…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
