Spectrum-efficient wireless backhaul with renewable energy powered base stations

Liu Yang; Xiangyuan Bu

doi:10.1117/12.2628622

21 April 2022 Spectrum-efficient wireless backhaul with renewable energy powered base stations

Liu Yang, Xiangyuan Bu

Proceedings Volume 12175, International Conference on Network Communication and Information Security (ICNCIS 2021); 1217507 (2022) https://doi.org/10.1117/12.2628622
Event: International Conference on Network Communication and Information Security (ICNCIS 2021), 2021, Beijing, China

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.

Citation Download Citation

Liu Yang and Xiangyuan Bu "Spectrum-efficient wireless backhaul with renewable energy powered base stations", Proc. SPIE 12175, International Conference on Network Communication and Information Security (ICNCIS 2021), 1217507 (21 April 2022); https://doi.org/10.1117/12.2628622

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