@inproceedings{585d40e96abc43c9ae82a419f0dedba6,
title = "Spectrum-Efficient Wireless Backhaul with Renewable Energy Powered Base Stations",
abstract = "Wireless backhauling with renewable powered base stations (BSs) provides an attractive and cost-effective solution to enabling ultra dense cellular networks to meet the ever-increasing traffic demands of massive Internet of Things applications. To address the spectrum shortage in wireless backhaul networks, we propose to offload the delay-tolerant data traffic to the shared spectrum bands and jointly consider BSs' energy consumption, spectrum allocation, and data routing to maximize the amount of delivered data. Numerical results demonstrate that the adopted sequential fixing algorithm implements a near-optimal solution and our scheduling strategy significantly outperforms the conventional strategies which only considers spectrum allocation. Moreover, the impacts of resources availability on the performance of obtained strategies are analyzed.",
keywords = "Wireless backhaul, link scheduling, renewable energy, routing, spectrum sharing",
author = "Liu Yang and Xiangyuan Bu",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE; 2021 International Conference on Network Communication and Information Security, ICNCIS 2021 ; Conference date: 03-12-2021 Through 05-12-2021",
year = "2022",
doi = "10.1117/12.2628622",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yaqiong Liu and Fushuan Wen",
booktitle = "International Conference on Network Communication and Information Security, ICNCIS 2021",
address = "United States",
}
