Multipath transmission control protocol–based multi-access traffic steering solution for 5G multimedia-centric network: Design and testbed system implementation

Kang, Yoohwa; Kim, Changki; An, Donghyeok; Yoon, Hyunsoo

doi:10.1177/1550147720909759

Cited by 7 publications

(2 citation statements)

References 22 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A more general use of MP transport protocols, referred to as Above-the-Core, does not require the cellular Core to be involved in the policy decision. As a matter of fact, the Above-the-Core integration enables transparent interoperability, not specifically regulated by the cellular network [72] [78], with MP functionalities deployed at the communication end points, ultimately representing an example of distributed RAT selection. As further discussed in the next sections, there exist several investigations related to distributed RAT selection, also in the context of MP transport protocols (cf.…”

Section: A Key Concepts and Examples Of Rat Selectionmentioning

confidence: 99%

User-Centric Radio Access Technology Selection: A Survey of Game Theory Models and Multi-Agent Learning Algorithms

et al. 2021

View full text Add to dashboard Cite

User-centric radio access technology (RAT) selection is a key communication paradigm, given the increased number of available RATs and increased cognitive capabilities at the user end. When considered against traditional network-centric approaches, user-centric RAT selection results in reduced network-side management load, and leads to lower operational costs for RATs, as well as improved quality of service (QoS) and quality of experience (QoE) for users. The complex between-users interactions involved in RAT selection require, however, specific analyses, toward developing reliable and efficient schemes. Two theoretical frameworks are most often applied to user-centric RAT selection analysis, i.e., game theory (GT) and multi-agent learning (MAL). As a consequence, several GT models and MAL algorithms have been recently proposed to solve the problem at hand. A comprehensive discussion of such models and algorithms is, however, currently missing. Moreover, novel issues introduced by next-generation communication systems also need to be addressed. This paper proposes to fill the above gaps by providing a unified reference for both ongoing research and future research directions in the field. In particular, the review addresses the most common GT and MAL models and algorithms, and scenario settings adopted in user-centric RAT selection in terms of utility function and network topology. Regarding GT, the review focuses on non-cooperative models, because of their widespread use in RAT selection; as for MAL, a large number of algorithms are described, ranging from game-theoretic to reinforcement learning (RL) schemes, and also including most recent approaches, such as deep RL (DRL) and multi-armed bandit (MAB). Models and algorithms are analyzed by comparatively reviewing relevant literature. Finally, open challenges are discussed, in light of ongoing research and standardization activities.

show abstract

Section: A Key Concepts and Examples Of Rat Selectionmentioning

confidence: 99%

User-Centric Radio Access Technology Selection: A Survey of Game Theory Models and Multi-Agent Learning Algorithms

et al. 2021

View full text Add to dashboard Cite

show abstract

“…anks to the rapid growth of mobile multimedia services like online video and remote conferencing on smart mobile devices (e.g., cellphone and tablets), the fifth-generation (5G) mobile and wireless communication systems are in great demand all over the world [1][2][3]. How to manage the trust relations between users and multimedia content providers in the 5G network is an important problem [4].…”

Section: Introductionmentioning

confidence: 99%

A Street-Level IP Geolocation Method Based on Delay-Distance Correlation and Multilayered Common Routers

Ding

Zhao²,

Luo³

2021

Security and Communication Networks

View full text Add to dashboard Cite

The geographical locations of smart devices can help in providing authentication information between multimedia content providers and users in 5G networks. The IP geolocation methods can help in estimating the geographical location of these smart devices. The two key assumptions of existing IP geolocation methods are as follows: (1) the smallest relative delay comes from the nearest host; (2) the distance between hosts which share the closest common routers is smaller than others. However, the two assumptions are not always true in weakly connected networks, which may affect accuracy. We propose a novel street-level IP geolocation algorithm (Corr-SLG), which is based on the delay-distance correlation and multilayered common routers. The first key idea of Corr-SLG is to divide landmarks into different groups based on relative-delay-distance correlation. Different from previous methods, Corr-SLG geolocates the host based on the largest relative delay for the strongly negatively correlated groups. The second key idea is to introduce the landmarks which share multilayered common routers into the geolocation process, instead of only relying on the closest common routers. Besides, to increase the number of landmarks, a new street-level landmark collection method called WiFi landmark is also presented in this paper. The experiments in one province capital city of China, Zhengzhou, show that Corr-SLG can improve the geolocation accuracy remarkably in a real-world network.

show abstract

Collaborative Mobile Edge Computing Through UPF Selection

Li¹,

Zhou²,

Ma³

et al. 2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

Multipath transmission control protocol–based multi-access traffic steering solution for 5G multimedia-centric network: Design and testbed system implementation

Cited by 7 publications

References 22 publications

User-Centric Radio Access Technology Selection: A Survey of Game Theory Models and Multi-Agent Learning Algorithms

User-Centric Radio Access Technology Selection: A Survey of Game Theory Models and Multi-Agent Learning Algorithms

A Street-Level IP Geolocation Method Based on Delay-Distance Correlation and Multilayered Common Routers

Collaborative Mobile Edge Computing Through UPF Selection

Contact Info

Product

Resources

About