[PDF][PDF] IoT provisioning QoS based on cloud and fog computing
The wide-spread Internet of Things (IoT) utilization in almost every scope of our life made it
possible to automate daily life tasks with no human intervention. This promising technology …
possible to automate daily life tasks with no human intervention. This promising technology …
UAV-assisted edge caching under uncertain demand: A data-driven distributionally robust joint strategy
Unmanned aerial vehicle (UAV) assisted edge caching has been emerged as a promising
solution to alleviate network congestion, which can provide users with their desired contents …
solution to alleviate network congestion, which can provide users with their desired contents …
Intelligent spectrum sensing and access with partial observation based on hierarchical multi-agent deep reinforcement learning
Dynamic spectrum access (DSA) has been regarded as a viable solution to the spectrum
shortage problem. To find idle spectrum, partial spectrum sensing could be employed by …
shortage problem. To find idle spectrum, partial spectrum sensing could be employed by …
Robust channel estimation in multiuser downlink 5G systems under channel uncertainties
A Pourkabirian, MH Anisi - IEEE Transactions on Mobile …, 2021 - ieeexplore.ieee.org
In wireless communication, the performance of the network highly relies on the accuracy of
channel state information (CSI). On the other hand, the channel statistics are usually …
channel state information (CSI). On the other hand, the channel statistics are usually …
[HTML][HTML] TONTA: Trend-based online network traffic analysis in ad-hoc IoT networks
Abstract Internet of Things (IoT) refers to a system of interconnected heterogeneous smart
devices communicating without human intervention. A significant portion of existing IoT …
devices communicating without human intervention. A significant portion of existing IoT …
A service-oriented spectrum-aware RAN-slicing trading scheme under spectrum sharing
The explosive growth on emerging Internet-of-Things (IoT) applications makes our
telecommunications networks confront twofold challenges. One is to provide sufficient …
telecommunications networks confront twofold challenges. One is to provide sufficient …
Distributionally robust two-stage energy management for hybrid energy powered cellular networks
Energy harvesting has been recognized as a good paradigm to decrease traditional grid
energy expenditure, which caters for 5G visions on the green evolution of cellular networks …
energy expenditure, which caters for 5G visions on the green evolution of cellular networks …
[HTML][HTML] Distributionally robust optimization based chance-constrained energy management for hybrid energy powered cellular networks
Energy harvesting has been recognized as a promising technique with which to effectively
reduce carbon emissions and electricity expenses of base stations. However, renewable …
reduce carbon emissions and electricity expenses of base stations. However, renewable …
A cost-efficient skipping based spectrum sensing scheme via reinforcement learning
Considering the continuance feature of the spectrum idle state observed from our spectrum
measurements, in this paper, we propose a novel SK ipping b A sed spec T rum s E nsing …
measurements, in this paper, we propose a novel SK ipping b A sed spec T rum s E nsing …
Risk-averse investment strategy for MEC service provisioning: A data-driven distributionally robust solution
The emerging Internet of Things (IoT) era has stimulated many new computation-intensive
applications. To support them, mobile edge computing (MEC) is a promising solution that …
applications. To support them, mobile edge computing (MEC) is a promising solution that …