A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …
as much as possible. This paradigm made modern solutions, such as recommendation …
Learning-aided stochastic network optimization with state prediction
We investigate the problem of stochastic network optimization in the presence of state
prediction and nonstationarity. Based on a novel state prediction model featured with a …
prediction and nonstationarity. Based on a novel state prediction model featured with a …
Channel prediction with location uncertainty for ad hoc networks
Multiagent systems (MAS) rely on positioning technologies to determine their physical
location, and on wireless communication technologies to exchange information. Both …
location, and on wireless communication technologies to exchange information. Both …
Learning-aided stochastic network optimization with imperfect state prediction
We investigate the problem of stochastic network optimization in the presence of imperfect
state prediction and non-stationarity. Based on a novel distribution-accuracy curve …
state prediction and non-stationarity. Based on a novel distribution-accuracy curve …
LAPRA: Location-aware proactive resource allocation
LS Muppirisetty, S Yiu… - 2016 IEEE Global …, 2016 - ieeexplore.ieee.org
Today's indoor wireless networks employ reactive resource allocation methods to provide
fair and efficient usage of the communication system. However, their reactive nature limits …
fair and efficient usage of the communication system. However, their reactive nature limits …
Distributed channel prediction for multi-agent systems
VP Chowdappa, M Frohöle… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Multi-agent systems (MAS) communicate over a wireless network to coordinate their actions
and to report their mission status. Connectivity and system-level performance can be …
and to report their mission status. Connectivity and system-level performance can be …
Action-based scheduling: Leveraging app interactivity for scheduler efficiency
J Tadrous, A Eryilmaz… - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
The dominant portion of smartphone traffic is generated by apps that involve human
interactivity. Particularly, when human users receive information from a server, they spend a …
interactivity. Particularly, when human users receive information from a server, they spend a …
Proactive caching for low access-delay services under uncertain predictions
Network traffic of delay-sensitive services has become a dominant part in the network.
Proactive caching with the aid of predictive information has been proposed as a promising …
Proactive caching with the aid of predictive information has been proposed as a promising …
Predictive resource allocation evaluation with real channel measurements
S Ahmad, R Reinhagen, LS Muppirisetty… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Mobile services, especially video streaming, has seen a rapid usage increase in recent
years. Base stations (BSs) need to employ smarter and efficient resource allocation …
years. Base stations (BSs) need to employ smarter and efficient resource allocation …
Connecting Vehicles to the Internet-Strategic Data Transmission for Mobile Nodes using Heterogeneous Wireless Networks
T Rückelt - 2017 - tuprints.ulb.tu-darmstadt.de
With the advent of autonomous driving, the driving experience for users of connected
vehicles changes, as they may enjoy their travel time with entertainment, or work …
vehicles changes, as they may enjoy their travel time with entertainment, or work …