دورية أكاديمية

Exploiting LTE-Advanced HetNets and FeICIC for UAV-Assisted Public Safety Communications

التفاصيل البيبلوغرافية
العنوان: Exploiting LTE-Advanced HetNets and FeICIC for UAV-Assisted Public Safety Communications
المؤلفون: Abhaykumar Kumbhar, Ismail Guvenc, Simran Singh, Adem Tuncer
المصدر: IEEE Access, Vol 6, Pp 783-796 (2018)
بيانات النشر: IEEE, 2018.
سنة النشر: 2018
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Cell range expansion, eICIC, FeICIC, firstnet, genetic algorithm, interference management, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Ensuring ubiquitous mission-critical public safety communications (PSC) to all the first responders in the public safety network is crucial at an emergency site. Recently, the use of unmanned aerial vehicles (UAVs) has received extensive interest for PSC to fill the coverage holes and establish reliable connectivity. The UAVs can be deployed as unmanned aerial base stations (UABSs) as part of a heterogeneous network (HetNet) PSC infrastructure. In this paper, we design a PSC LTE-Advanced HetNet for different path loss models and deployment mechanism for UABSs. We enhance the system-wide spectral efficiency (SE) of this PSC HetNet by apply cell range expansion (CRE) to UABSs and mitigating the inter-cell interference arising in the HetNet by applying 3GPP Release-10 enhanced inter-cell interference coordination (eICIC) and 3GPP Release-11 further-enhanced inter-cell interference coordination (FeICIC). Through Monte Carlo simulations, we compare the system-wide fifth percentile SE when UABSs are deployed on a hexagonal grid and when their locations are optimized using a genetic algorithm, while also jointly optimizing the CRE and the inter-cell interference coordination parameters. Our results show that at optimized UABS locations, reduced power subframes defined in 3GPP Release-11 can provide considerably better fifth percentile SE than the 3GPP Release-10 with almost blank subframes (eICIC).
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2169-3536
Relation: https://ieeexplore.ieee.org/document/8187705/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2017.2776120
URL الوصول: https://doaj.org/article/579419746cd64d138c7a078a8d88fdb6
رقم الأكسشن: edsdoj.579419746cd64d138c7a078a8d88fdb6
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21693536
DOI:10.1109/ACCESS.2017.2776120