Leveraging deep reinforcement learning for traffic engineering: A survey
After decades of unprecedented development, modern networks have evolved far beyond
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …
Boosting TCP & QUIC performance in mmWave, terahertz, and lightwave wireless networks: A survey
E Khorov, A Krasilov, M Susloparov… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Emerging wireless systems target to provide multi-Gbps data rates for each user, which can
be achieved by utilizing ultra-wide channels available at mmWave, terahertz, and lightwave …
be achieved by utilizing ultra-wide channels available at mmWave, terahertz, and lightwave …
Learning combinatorial optimization on graphs: A survey with applications to networking
Existing approaches to solving combinatorial optimization problems on graphs suffer from
the need to engineer each problem algorithmically, with practical problems recurring in …
the need to engineer each problem algorithmically, with practical problems recurring in …
Peekaboo: Learning-based multipath scheduling for dynamic heterogeneous environments
Multipath transport protocols utilize multiple network paths (eg, WiFi and cellular) to achieve
improved performance and reliability, compared with their single-path counterparts. The …
improved performance and reliability, compared with their single-path counterparts. The …
Intelligent joint network slicing and routing via GCN-powered multi-task deep reinforcement learning
In 6G mobile systems, network slicing is an emerging technology to support services with
distinct requirements by dividing a common infrastructure into multiple logical networks …
distinct requirements by dividing a common infrastructure into multiple logical networks …
A survey on multipath transport protocols towards 5G access traffic steering, switching and splitting
The fifth generation (5G) cellular network aims at providing very high data rates, ultra
reliable low latency communications, and a vast increase of connection density. As one of …
reliable low latency communications, and a vast increase of connection density. As one of …
Cmt-sctp and mptcp multipath transport protocols: A comprehensive review
A huge amount of generated data is regularly exploding into the network by the users
through smartphones, laptops, tablets, self-configured Internet-of-things (IoT) devices, and …
through smartphones, laptops, tablets, self-configured Internet-of-things (IoT) devices, and …
A low-latency MPTCP scheduler for live video streaming in mobile networks
It is a known issue that low-latency communication is hard to achieve when using multiple
network interfaces with asymmetric capacity and delay (eg, LTE and WLAN) simultaneously …
network interfaces with asymmetric capacity and delay (eg, LTE and WLAN) simultaneously …
DeepCC: Multi-agent deep reinforcement learning congestion control for multi-path TCP based on self-attention
With the development of the Internet of Things (IoT) and 5G, there are ubiquitous smart
devices and network functions providing emerging network services efficiently and optimally …
devices and network functions providing emerging network services efficiently and optimally …
An online learning assisted packet scheduler for MPTCP in mobile networks
Multipath TCP is designed to utilize multiple network paths to achieve improved throughput
and robustness against network failure. These features are supposed to make MPTCP …
and robustness against network failure. These features are supposed to make MPTCP …