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BS-assisted Task Offloading for D2D Networks with Presence of User Mobility
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datalogi.ORCID-id: 0000-0003-1869-6192
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datalogi.
2019 (Engelska)Ingår i: 2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), IEEE , 2019Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Task offloading is a key component in mobile edge computing. Offloading a task to a remote server takes communication and networking resources. An alternative is device-to-device (D2D) offloading, where a task of a device is offloaded to some device having computational resource available. The latter requires that the devices are within the range of each other, first for task collection, and later for result gathering. Hence, in mobility scenarios, the performance of D2D offloading will suffer if the contact rates between the devices are low. We enhance the setup to base station (BS) assisted D2D offloading, namely, a BS can act as a relay for task distribution or result collection. However, this would imply additional consumption of wireless resources. The associated cost and the improvement in completion time of task offloading compose a fundamental trade-off. For the resulting optimization problem, we mathematically prove the complexity, and propose an algorithm using Lagrangian duality. The simulation results demonstrate not only that the algorithm has close-to-optimal performance, but also provide structural insights of the optimal trade-off.

Ort, förlag, år, upplaga, sidor
IEEE , 2019.
Serie
IEEE Vehicular Technology Conference Proceedings, ISSN 1550-2252
Nyckelord [en]
Task offloading, D2D communications, Mobility, Base station, Relay
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:uu:diva-394727DOI: 10.1109/VTCSpring.2019.8746650ISI: 000482655600307ISBN: 978-1-7281-1217-6 (tryckt)OAI: oai:DiVA.org:uu-394727DiVA, id: diva2:1360245
Konferens
89th IEEE Vehicular Technology Conference (VTC Spring), APR 28-MAY 01, 2019, Kuala Lumpur, MALAYSIA
Tillgänglig från: 2019-10-11 Skapad: 2019-10-11 Senast uppdaterad: 2019-10-11Bibliografiskt granskad

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