A Constrained Coalition Formation Game for Multihop D2D Content Uploading

Militano, Leonardo; Orsino, Antonino; Araniti, Giuseppe; Molinaro, Antonella

doi:10.1109/twc.2015.2497682

Cited by 55 publications

(31 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Specifically, in our cooperative D2D multihop scenario, the node acting as relay/gateway towards another node will be the trustee and the source node of the relayed data is the truster. The cooperative topology formation exploits a game theoretic coalition formation model as proposed in [10]. Game theoretic approaches have found several applications also in the field of D2D communications given the potential to model the user behavior (see e.g., [16,17]).…”

Section: Related Workmentioning

confidence: 99%

“…The alternative solution proposed in this paper is the cooperative content uploading controlled by the eNodeB (i.e., network-assisted D2D), where the UE organizes itself to form a "logical multihop D2D topology" and cooperates in uploading the content generated by all the involved devices. The cooperative topology formation is implemented according to a game theoretic coalition formation model as proposed in [10].…”

Section: Cooperative Multihop D2d-based Data Uploadingmentioning

confidence: 99%

“…The historical reputation of the cooperative users will be considered to offer rational users the possibility to filter out untrusted users and avoid unsuccessful opportunistic hop-by-hop D2D interactions. An initial investigation in this direction was made in our previous paper [9] in long-term evolution-advanced (LTE-A) scenarios where multihop cooperative uploading is implemented over cellular D2D resources [10]. In this paper we take forward our research, investigating among other issues the use of the recent narrowband IoT (NB-IoT) standard [11], which is currently considered the reference cellular technology for IoT communications for the next 5G systems.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

NB-IoT for D2D-Enhanced Content Uploading with Social Trustworthiness in 5G Systems †

et al. 2017

Self Cite

View full text Add to dashboard Cite

Future fifth-generation (5G) cellular systems are set to give a strong boost to the large-scale deployment of Internet of things (IoT). In the view of a future converged 5G-IoT infrastructure, cellular IoT solutions such as narrowband IoT (NB-IoT) and device-to-device (D2D) communications are key technologies for supporting IoT scenarios and applications. However, some open issues still need careful investigation. An example is the risk of threats to privacy and security when IoT mobile services rely on D2D communications. To guarantee efficient and secure connections to IoT services involving exchange of sensitive data, reputation-based mechanisms to identify and avoid malicious devices are fast gaining ground. In order to tackle the presence of malicious nodes in the network, this paper introduces reliability and reputation notions to model the level of trust among devices engaged in an opportunistic hop-by-hop D2D-based content uploading scheme. To this end, social awareness of devices is considered as a means to enhance the identification of trustworthy nodes. A performance evaluation study shows that the negative effects due to malicious nodes can be drastically reduced by adopting the proposed solution. The performance metrics that proved to benefit from the proposed solution are data loss, energy consumption, and content uploading time.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Cooperative Multihop D2d-based Data Uploadingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

NB-IoT for D2D-Enhanced Content Uploading with Social Trustworthiness in 5G Systems †

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…The constraint in (16) ensures that the profit of all operators in the collaborative case exceeds their corresponding profits in the non-collaborative case. In other words, the operators will agree to collaborate only if collaboration leads to an increase in their profit.…”

Section: B Collaborative Casementioning

confidence: 99%

“…This infrastructure sharing is henceforth referred to as collaboration since operators cognitively join hands to serve the collective users for mutual benefit [14]. Resource sharing and coalition formation for common interests is also used in other settings such as in the case of multiple cloud providers [15] and networks using device-to-device communications [16]. Due to the flexibility of serving users, an operator may switch off its lightly loaded BS while intelligently offloading the associated users to BSs of other operators.…”

Section: Introductionmentioning

confidence: 99%

Green Virtualization for Multiple Collaborative Cellular Operators

Farooq

Ghazzai

Yaacoub

et al. 2017

IEEE Trans. Cogn. Commun. Netw.

View full text Add to dashboard Cite

Abstract-This paper proposes and investigates a green virtualization framework for infrastructure sharing among multiple cellular operators whose networks are powered by a combination of conventional and renewable sources of energy. Under the proposed framework, the virtual network formed by unifying radio access infrastructures of all operators is optimized for minimum energy consumption by deactivating base stations (BSs) with low traffic loads. The users initially associated to those BSs are off-loaded to neighboring active ones. A fairness criterion for collaboration based on roaming prices is introduced to cover the additional energy costs incurred by host operators. The framework also ensures that any collaborating operator is not negatively affected by its participation in the proposed virtualization. A multi-objective linear programming problem is formulated to achieve energy and cost efficiency of the networks' operation by identifying the set of inter-operator roaming prices. For the case when collaboration among all operators is infeasible due to profitability, capacity, or power constraints, an iterative algorithm is proposed to determine the groups of operators that can viably collaborate. Results show significant energy savings using the proposed virtualization as compared to the standalone case. Moreover, collaborative operators exploiting locally generated renewable energy are rewarded more than traditional ones.

show abstract