1 research outputs found
Joint Transmission Scheme and Coded Content Placement in Cluster-centric UAV-aided Cellular Networks
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 the Coordinated Multi-Point (CoMP) to mitigate the inter-cell interference
in edge areas. Then, we compute, experimentally, the number of coded contents
to be stored in each caching node to increase the cache-hit ratio,
Signal-to-Interference-plus-Noise Ratio (SINR), and cache diversity and
decrease the users' access delay and cache redundancy for different content
popularity profiles. Capitalizing on clustering, our second objective is to
assign the best caching node to indoor/outdoor users for managing their
requests. In this regard, we define the movement speed of ground users as the
decision metric of the transmission scheme for serving outdoor users' requests
to avoid frequent handovers between FAPs and increase the battery life of UAVs.
Simulation results illustrate that the proposed CCUF implementation increases
the cache hit-ratio, SINR, and cache diversity and decrease the users' access
delay, cache redundancy and UAVs' energy consumption