Joint Transmission Scheme and Coded Content Placement in Cluster-centric UAV-aided Cellular Networks
Zohreh HajiAkhondi-Meybodi, Arash Mohammadi, Jamshid Abouei, Ming Hou,, and Konstantinos N. Plataniotis

TL;DR
This paper proposes a joint transmission and coded content placement scheme in cluster-centric UAV-assisted cellular networks, enhancing coverage, cache efficiency, and energy savings in indoor and outdoor environments.
Contribution
It introduces a novel CCUF framework with coded content placement and user request management based on user mobility, improving network performance and UAV energy efficiency.
Findings
Increased cache hit ratio and SINR.
Reduced user access delay and cache redundancy.
Lower UAV energy consumption.
Abstract
Recently, as a consequence of the COVID-19 pandemic, dependence on telecommunication for remote working and telemedicine has significantly increased. In cellular networks, incorporation of Unmanned Aerial Vehicles (UAVs) can result in enhanced connectivity for outdoor users due to the high probability of establishing Line of Sight (LoS) links. The UAV's limited battery life and its signal attenuation in indoor areas, however, make it inefficient to manage users' requests in indoor environments. Referred to as the Cluster centric and Coded UAV-aided Femtocaching (CCUF) framework, the network's coverage in both indoor and outdoor environments increases via a two-phase clustering for FAPs' formation and UAVs' deployment. First objective is to increase the content diversity. In this context, we propose a coded content placement in a cluster-centric cellular network, which is integrated with…
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