Multi-Operator Small Cells Collaboration using Simultaneous Bilateral Negotiation

Shah, Shashi; Lim, Yuto; Tan, Yasuo

doi:10.1109/ecticon.2018.8620045

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Shafwat et al proposed a method for roaming between radio base stations of multiple operators in order to reduce overall power consumption [18]. Finally, Shah et al described a negotiation protocol between mobile network operators for sharing of network resources within small-cell networks [19].…”

Section: B Approaches To Multi-operator Collaborationmentioning

confidence: 99%

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A deep-Q learning approach to mobile operator collaboration

Karapantelakis

Fersman

2020

J. Commun. Netw.

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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.

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Section: B Approaches To Multi-operator Collaborationmentioning

confidence: 99%

“…The solutions are also focused on different domains than service fulfillment. Specifically [17] and [18] focused on energy savings, whereas [19] did not describe the reason for initiating the trade of network resources, but rather the trade protocol itself.…”

Section: B Approaches To Multi-operator Collaborationmentioning

confidence: 99%

A deep-Q learning approach to mobile operator collaboration

Karapantelakis

Fersman

2020

J. Commun. Netw.

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“…For this purpose, we consider negotiation, among potential collaborating MNOs, in order to reach to an agreement that is acceptable by all involved parties. The paper is an extension of our work in [9] with detailed and extended analysis of the multi-operator small cells collaboration mechanism, and extensive performance evaluations. The main contributions of this paper are as follows:The proposed mechanism of multi-operator small cells collaboration can be applicable to SCNs as well as other radio network technologies, which could offer advantages to MNOs such as: maintaining services to users even in an overloaded environment, sustaining users’ loyalty, avoiding under-utilization of available network resources, improving revenues by serving extra users from a market share, and serving users at locations not under network coverage through BYOD environment.Multi-operator small cells collaboration allows MNOs to offer small cells “as a service” to users, with access to wireless coverage/connectivity anywhere regardless of their operator’s network.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Resource Management for Negotiable Multi-Operator Small Cell Networks

Shah

Lim

Tan

2019

Sensors

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The ubiquitous coverage/connectivity requirement of wireless cellular networks has shifted mobile network operators’ (MNOs) interest toward dense deployment of small cells with coverage areas that are much smaller as compared to macrocell base stations (MBSs). Multi-operator small cells could provide virtualization of network resources (infrastructure and spectrum) and enable its efficient utilization, i.e., uninterrupted coverage and connectivity to subscribers, and an opportunity to avoid under-utilization of the network resources. However, a MNO with exclusive ownership to network resources would have little incentive to utilize its precious resources to serve users of other MNOs, since MNOs differentiate among others based on their ownership of the licensed spectrum. Thus, considering network resources scarcity and under-utilization, this paper proposes a mechanism for multi-operator small cells collaboration through negotiation that establishes a mutual agreement acceptable to all involved parties, i.e., a win–win situation for the collaborating MNOs. It enables subscribers of a MNO to utilize other MNOs’ network resources, and allows MNOs to offer small cells “as a service” to users with ubiquitous access to wireless coverage/connectivity, maximize the use of an existing network resources by serving additional users from a market share, and enhance per-user data rate. We validated and evaluated the proposed mechanism through simulations considering various performance metrics.

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