Intelligent multi-modal sensing-communication integration: Synesthesia of machines
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …
communications (ISAC) is recognized as a promising solution to upgrade the physical …
Multi-armed-bandit-based spectrum scheduling algorithms in wireless networks: A survey
Assigning bands of the wireless spectrum as resources to users is a common problem in
wireless networks. Typically, frequency bands were assumed to be available in a stable …
wireless networks. Typically, frequency bands were assumed to be available in a stable …
Quantifying the cost of learning in queueing systems
Queueing systems are widely applicable stochastic models with use cases in
communication networks, healthcare, service systems, etc. Although their optimal control …
communication networks, healthcare, service systems, etc. Although their optimal control …
LACO: A latency-driven network slicing orchestration in beyond-5G networks
L Zanzi, V Sciancalepore… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Network Slicing is expected to become a game changer in the upcoming 5G networks and
beyond, enlarging the telecom business ecosystem through still-unexplored vertical industry …
beyond, enlarging the telecom business ecosystem through still-unexplored vertical industry …
Learning and information in stochastic networks and queues
We review the role of information and learning in the stability and optimization of queueing
systems. In recent years, techniques from supervised learning, online learning, and …
systems. In recent years, techniques from supervised learning, online learning, and …
Learning while scheduling in multi-server systems with unknown statistics: Maxweight with discounted ucb
Multi-server queueing systems are widely used models for job scheduling in machine
learning, wireless networks, and crowdsourcing. This paper considers a multi-server system …
learning, wireless networks, and crowdsourcing. This paper considers a multi-server system …
Mobile wireless sensor network lifetime maximization by using evolutionary computing methods
X Zhang, X Lu, X Zhang - Ad Hoc Networks, 2020 - Elsevier
Due to the continuous development and progress of wireless communication technology
and sensor network technology, wireless sensor networks (WSNs) have gradually become …
and sensor network technology, wireless sensor networks (WSNs) have gradually become …
Learning to defer in content moderation: The human-ai interplay
T Lykouris, W Weng - arXiv preprint arXiv:2402.12237, 2024 - arxiv.org
Successful content moderation in online platforms relies on a human-AI collaboration
approach. A typical heuristic estimates the expected harmfulness of a post and uses fixed …
approach. A typical heuristic estimates the expected harmfulness of a post and uses fixed …
Learning algorithms for minimizing queue length regret
T Stahlbuhk, B Shrader… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We consider a system consisting of a single transmitter/receiver pair and N channels over
which they may communicate. Packets randomly arrive to the transmitter's queue and wait to …
which they may communicate. Packets randomly arrive to the transmitter's queue and wait to …
Stability enforced bandit algorithms for channel selection in remote state estimation of Gauss-Markov processes
In this article, we consider the problem of remote state estimation of a Gauss–Markov
process, where a sensor can, at each discrete time instant, transmit on one out of M different …
process, where a sensor can, at each discrete time instant, transmit on one out of M different …