Wireless Networks with Cache-Enabled and Backhaul-Limited Aerial Base Stations
Elham Kalantari, Halim Yanikomeroglu, and Abbas Yongacoglu

TL;DR
This paper proposes a backhaul-aware 3D placement and resource allocation algorithm for cache-enabled aerial base stations to improve network efficiency, reduce power consumption, and manage backhaul limitations in wireless networks.
Contribution
It introduces a joint optimization framework for ABS placement, user association, and bandwidth allocation considering backhaul constraints and caching, using an iterative decomposition approach.
Findings
The proposed algorithm effectively reduces transmit power.
Content caching decreases backhaul usage.
Optimal ABS placement improves network performance.
Abstract
Use of aerial base stations (ABSs) is a promising approach to enhance the agility and flexibility of future wireless networks. ABSs can improve the coverage and/or capacity of a network by moving supply towards demand. Deploying ABSs in a network presents several challenges such as finding an efficient 3D-placement of ABSs that takes network objectives into account. Another challenge is the limited wireless backhaul capacity of ABSs and consequently, potentially higher latency incurred. Content caching is proposed to alleviate the backhaul congestion and decrease the latency. We consider a limited backhaul capacity for ABSs due to varying position-dependent path loss values and define two groups of users (delay-tolerant and delay-sensitive) with different data rate requirements. We study the problem of jointly determining backhaul-aware 3D placement for ABSs, user-BS associations and…
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Taxonomy
TopicsUAV Applications and Optimization · Caching and Content Delivery · Cooperative Communication and Network Coding
