Analysis and Optimization of Cache-Enabled mmWave HetNets with Integrated Access and Backhaul
Chenwu Zhang, Hancheng Lu, Zhuojia Gu

TL;DR
This paper introduces caching at small base stations in millimeter wave HetNets with integrated access and backhaul to improve spectrum efficiency, optimize throughput, and significantly enhance network performance.
Contribution
It analytically models SINR and throughput, formulates a joint optimization problem, and proposes an algorithm to optimize cache, spectrum, and power allocation in mABHetNets.
Findings
Caching reduces backhaul spectrum occupancy.
Optimal cache and spectrum partitioning can achieve up to 90% throughput gain.
The proposed algorithm converges and improves network performance.
Abstract
In milimeter wave heterogenous networks with integrated access and backhaul (mABHetNets), a considerable part of spectrum resources are occupied by the backhaul link, which limits the performance of the access link. In order to overcome such backhaul "spectrum occupancy", we introduce cache in mABHetNets. Caching popular files at small base stations (SBSs) can offload the backhaul traffic and transfer spectrum from the backhaul link to the access link. To achieve the optimal performance of the cache-enabled mABHetNets, we first analyze the signal-to-interference-plus-noise ratio (SINR) distribution and derive the average potential throughput (APT) expression by stochastic geometric tools. Then, based on our analytical work, we formulate a joint optimization problem of cache decision and spectrum partition to maximize the APT. Inspired by the block coordinate descent (BCD) method, we…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
