A first look at cellular machine-to-machine traffic: large scale measurement and characterization
Cellular network based Machine-to-Machine (M2M) communication is fast becoming a
market-changing force for a wide spectrum of businesses and applications such as …
market-changing force for a wide spectrum of businesses and applications such as …
Spatial modeling of the traffic density in cellular networks
Modeling and simulation of a cellular network typically assumes that the target area is
divided into regular hexagonal cells and mobile stations (MSs) are uniformly scattered in …
divided into regular hexagonal cells and mobile stations (MSs) are uniformly scattered in …
A framework for the synergistic integration of fully autonomous ground vehicles with smart city
K Kuru, W Khan - IEEE Access, 2020 - ieeexplore.ieee.org
Most of the vehicle manufacturers aim to deploy level-5 fully autonomous ground vehicles
(FAGVs) on city roads in 2021 by leveraging extensive existing knowledge about sensors …
(FAGVs) on city roads in 2021 by leveraging extensive existing knowledge about sensors …
Traffic-driven power saving in operational 3G cellular networks
Base stations (BSes) in the 3G cellular network are not energy proportional with respect to
their carried traffic load. Our mea-surements show that 3G traffic exhibits high fluctuations …
their carried traffic load. Our mea-surements show that 3G traffic exhibits high fluctuations …
A survey of online data-driven proactive 5G network optimisation using machine learning
In the fifth-generation (5G) mobile networks, proactive network optimisation plays an
important role in meeting the exponential traffic growth, more stringent service requirements …
important role in meeting the exponential traffic growth, more stringent service requirements …
Machine learning for predictive on-demand deployment of UAVs for wireless communications
In this paper, a novel machine learning (ML) framework is proposed for enabling a
predictive, efficient deployment of unmanned aerial vehicles (UAVs), acting as aerial base …
predictive, efficient deployment of unmanned aerial vehicles (UAVs), acting as aerial base …
Economics of WiFi offloading: Trading delay for cellular capacity
Cellular networks are facing severe traffic overloads due to the proliferation of smart
handheld devices and traffic-hungry applications. A cost-effective and practical solution is to …
handheld devices and traffic-hungry applications. A cost-effective and practical solution is to …
Software-defined networking in cellular radio access networks: potential and challenges
MY Arslan, K Sundaresan… - IEEE Communications …, 2015 - ieeexplore.ieee.org
Software-defined networking has brought both performance and management benefits to
wired networks. It is natural to wonder if SDN principles also apply and can deliver similar …
wired networks. It is natural to wonder if SDN principles also apply and can deliver similar …
Large-scale measurement and characterization of cellular machine-to-machine traffic
Cellular network-based machine-to-machine (M2M) communication is fast becoming a
market-changing force for a wide spectrum of businesses and applications such as …
market-changing force for a wide spectrum of businesses and applications such as …
Caching policy for cache-enabled D2D communications by learning user preference
B Chen, C Yang - IEEE Transactions on Communications, 2018 - ieeexplore.ieee.org
Prior works in a designing caching policy do not distinguish content popularity with user
preference. In this paper, we illustrate the caching gain by exploiting individual user …
preference. In this paper, we illustrate the caching gain by exploiting individual user …