Location recommendation for location-based social networks
In this paper, we study the research issues in realizing location recommendation services for
large-scale location-based social networks, by exploiting the social and geographical …
large-scale location-based social networks, by exploiting the social and geographical …
Exploring temporal effects for location recommendation on location-based social networks
Location-based social networks (LBSNs) have attracted an inordinate number of users and
greatly enriched the urban experience in recent years. The availability of spatial, temporal …
greatly enriched the urban experience in recent years. The availability of spatial, temporal …
Fine-grained trajectory optimization of multiple UAVs for efficient data gathering from WSNs
C Luo, MN Satpute, D Li, Y Wang… - … /ACM Transactions on …, 2020 - ieeexplore.ieee.org
The increasing availability of autonomous small-size Unmanned Aerial Vehicles (UAVs) has
provided a promising way for data gathering from Wireless Sensor Networks (WSNs) with …
provided a promising way for data gathering from Wireless Sensor Networks (WSNs) with …
User-centric UAV deployment and content placement in cache-enabled multi-UAV networks
J Luo, J Song, FC Zheng, L Gao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cache-enabled UAVs are widely used as edge servers to provide on-demand content
services for ground users. Most of prior works deploy UAVs based on user locations and …
services for ground users. Most of prior works deploy UAVs based on user locations and …
DRLR: A deep-reinforcement-learning-based recruitment scheme for massive data collections in 6G-based IoT networks
T Li, W Liu, Z Zeng, NN Xiong - IEEE Internet of Things journal, 2021 - ieeexplore.ieee.org
Recently, rapid deployment on the fifth-generation (5G) networks has brought great
opportunities for enabling data-intensive applications and brings an extending expectation …
opportunities for enabling data-intensive applications and brings an extending expectation …
QoE analysis in cache-enabled multi-UAV networks
This paper presents a quality of experience (QoE)-guided content delivery framework in
cache-enabled multi-unmanned aerial vehicle (UAV) networks, measured from the content …
cache-enabled multi-unmanned aerial vehicle (UAV) networks, measured from the content …
An efficient approach to generating location-sensitive recommendations in ad-hoc social network environments
Social recommendation has been popular and successful in various urban sustainable
applications such as online sharing, products recommendation and shopping services …
applications such as online sharing, products recommendation and shopping services …
SoftDrone: Softwarized 5G assisted drone networks for dynamic resource sharing using machine learning techniques
The concept of a programmable network instantiates dedicated network slices for
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …
Deployment and association of multiple UAVs in UAV-assisted cellular networks with the knowledge of statistical user position
Exploiting unmanned aerial vehicles (UAVs) as flying relays is becoming an indispensable
strategy to assist terrestrial cellular networks to enhance coverage. One challenging …
strategy to assist terrestrial cellular networks to enhance coverage. One challenging …
[HTML][HTML] Mobility Management of Unmanned Aerial Vehicles in Ultra–Dense Heterogeneous Networks
The rapid growth of mobile data traffic will lead to the deployment of Ultra–Dense Networks
(UDN) in the near future. Various networks must overlap to meet the massive demands of …
(UDN) in the near future. Various networks must overlap to meet the massive demands of …