A Deep-Q Learning Approach to Mobile Operator Collaboration

Karapantelakis, Athanasios, 1982- (författare): KTH,Radio Systems Laboratory (RS Lab),Ericsson Research

(creator_code:org_t)

Seoul Korea, 2020
2020
Engelska.
Ingår i: Journal of Communications and Networks. - Seoul Korea. - 1229-2370 .- 1976-5541. ; 22:6, s. 455-466

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Abstract Ämnesord

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Next-generation mobile connectivity services include a large number of devices distributed across vast geographical areas. Mobile network operators will need to collaborate to fulfill service requirements at scale. Existing approaches to multioperator services assume already-established collaborations to fulfill customer service demand with specific quality of service (QoS). In this paper, we propose an agent-based architecture, where establishment of collaboration for a given connectivity service is done proactively, given predictions about future service demand. We build a simulation environment and evaluate our approach with a number of scenarios and in context of a real-world use case, and compare it with existing collaboration approaches. Results show that by learning how to adapt their collaboration strategy, operators can fulfill a greater part of the service requirements than by providing the service independently, or through pre-established, intangible service level agreements.

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Telekommunikatio ...

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Kommunikationssy ...

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