Device-Controlled Traffic Steering in Mobile Networks

Jiang, Menglan

doi:10.1109/ngmast.2015.13

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…In some papers such as [44][6] [16][77], the researchers suggested a reinforcement learning algorithm that runs on UEs and, by learning from the past experiences of the device in an environment, improves its QoS and reduces its energy consummations. This approach that suggests running the model on UEs has some problems.…”

Section: ) Traffic Steeringmentioning

confidence: 99%

Toward Integrating Intelligence and Programmability in Open Radio Access Networks: A Comprehensive Survey

2022

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Open RAN is an emerging vision and an advancement of the Radio Access Network (RAN). Its purpose is to implement a vendor and network-generation agnostic RAN, provide networking solutions across all service requests, and implement artificial intelligence solutions in different stages of an end-to-end communication path. The 5th Generation (5G) and beyond the 5th Generation (B5G) of networking introduce and support new use cases, such as tactile internet and autonomous driving. The complexity and innovative nature of these use cases require continuous innovation at a high pace in the RAN. The traditional approach of building end-to-end RAN solutions by only one vendor hampers the speed of innovation-furthermore, the lack of a standard approach to implementing artificial intelligence complicates the compatibility of products with the RAN ecosystem. O-RAN Alliance, a community of industry and academic experts in RAN, works on writing Open RAN specifications on top of the 3rd Generation Partnership Project (3GPP) standards. Founded on these specifications, the aim of this paper is to introduce open research topics in Open RAN that overlap the interests of both AI and telecommunication researchers. The paper provides an overview of the architecture and components of Open RAN, then explores AI use cases in Open RAN. Also, this survey includes some plausible AI deployment scenarios that the specifications have not covered. Open RAN in future cities creates opportunities for various use cases across different sectors, including engineering, operations, and research that this paper addresses.

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Section: ) Traffic Steeringmentioning

confidence: 99%

Toward Integrating Intelligence and Programmability in Open Radio Access Networks: A Comprehensive Survey

2022

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“…To this end, we discussed a device-controlled mechanism in our previous work [7], where all decisions are made at the User Equipment (UE). Such device-controlled decision making mainly focuses on the users' QoS requirements and is a fully "selfish" decision.…”

Section: Introductionmentioning

confidence: 99%

Traffic Management in 5G Mobile Networks: Selfish Users and Fair Network

Mahmoodi

Jiang

2016

TNC

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With increasing in heterogeneity of the mobile and wireless networks, including the use of licensed and unlicensed spectrum, and diversity in types of User Equipment (UEs), managing how traffic flows through network while maintaining high level of users' quality of experience is crucial. In this paper, we present a novel traffic management mechanism that maintains the users' quality of experience as well as guaranteeing fairness among users. This traffic management has two separate elements, one that is located at the UE and one that is located at the cloud-based network controller. While each UE maximizes their utility function, which is modelled based on the QoS parameters, selfishly, at the network side, the attempt is to maximize fairness among all users' flows.

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