Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …
a key enabler and a leading infrastructure provider in the information and communication …
An end-to-end automatic cloud database tuning system using deep reinforcement learning
Configuration tuning is vital to optimize the performance of database management system
(DBMS). It becomes more tedious and urgent for cloud databases (CDB) due to the diverse …
(DBMS). It becomes more tedious and urgent for cloud databases (CDB) due to the diverse …
Qtune: A query-aware database tuning system with deep reinforcement learning
Database knob tuning is important to achieve high performance (eg, high throughput and
low latency). However, knob tuning is an NP-hard problem and existing methods have …
low latency). However, knob tuning is an NP-hard problem and existing methods have …
Facilitating database tuning with hyper-parameter optimization: a comprehensive experimental evaluation
Recently, using automatic configuration tuning to improve the performance of modern
database management systems (DBMSs) has attracted increasing interest from the …
database management systems (DBMSs) has attracted increasing interest from the …
Smart network slicing for vehicular fog-RANs
Modern transportation systems are facing a sharp alteration since the Internet of Vehicles
(IoV) has activated intense information exchange among vehicles, infrastructure, and …
(IoV) has activated intense information exchange among vehicles, infrastructure, and …
Reinforcement learning based dynamic spectrum access in cognitive internet of vehicles
Cognitive Internet of Vehicles (CIoV) can improve spectrum utilization by accessing the
spectrum licensed to primary user (PU) under the premise of not disturbing the PU's …
spectrum licensed to primary user (PU) under the premise of not disturbing the PU's …
Enhancing the coexistence of LTE and Wi-Fi in unlicensed spectrum through convolutional neural networks
Over the last years, the ever-growing wireless traffic has pushed the mobile community to
investigate solutions that can assist in more efficient management of the wireless spectrum …
investigate solutions that can assist in more efficient management of the wireless spectrum …
: An efficient deep reinforcement learning-based automatic cloud database tuning system
Configuration tuning is vital to optimize the performance of a database management system
(DBMS). It becomes more tedious and urgent for cloud databases (CDB) due to diverse …
(DBMS). It becomes more tedious and urgent for cloud databases (CDB) due to diverse …
Reinforcement learning for efficient and fair coexistence between LTE-LAA and Wi-Fi
Long-Term Evolution (LTE) over unlicensed spectrum extends LTE technology to the
spacious unlicensed spectrum with readily available bandwidth. The provided capacity …
spacious unlicensed spectrum with readily available bandwidth. The provided capacity …