Multipath TCP (MPTCP) has emerged as a facilitator for harnessing and pooling available
bandwidth in wireless/wireline communication networks and in data centers. Existing …

In this paper, we present a comprehensive analysis and comparison of several multipath
schedulers under 5G/B5G hybrid networks. Specifically, we have developed a physical …

Numerous applications on the web use transmission control protocol (TCP) as a transport
protocol to ensure efficient and fair sharing of network resources among users. With the …

In this paper, we propose a graph convolutional deep reinforcement learning framework for
both smart load balancing and queuing agents in a collaborative environment. We aim to …

Multipath TCP (MPTCP) has been standardized by the IETF as an extension of conventional
TCP and it allows the system to utilize multiple paths simultaneously, which can aggregate …

Multipath transmission is a critical enabling technology to enhance QoE for edge users. The
packet scheduler plays an irreplaceable role in overcoming heterogeneity and dynamicity in …

This paper explores the use of multi-agent deep learning as well as learning to cooperate
principles to meet strict service level agreements, in terms of throughput and end-to-end …

Virtual Reality (VR) applications that require extremely low delay and high image quality are
widely used in online games and other 5G scenarios, becoming a hot research field in …

Multipath TCP (MPTCP) has been implemented and evaluated using the modular approach
known as ModCC in FreeBSD. This research builds a foundation for developing an …

We introduce a novel multipath data transport approach at the transport layer referred to as
'Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion …