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Dynamic Spectrum Sharing for Load Balancing in Multi-Cell Mobile Edge Computing
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering. KTH Royal Inst Technol, Sch Elect Engn & Comp Sci, S-10044 Stockholm, Sweden..ORCID iD: 0000-0002-2764-8099
2020 (English)In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 9, no 2, p. 189-193Article in journal (Refereed) Published
Abstract [en]

Large-scale mobile edge computing (MEC) systems require scalable solutions to allocate communication and computing resources to the users. In this letter we address this challenge by applying dynamic spectrum sharing among the base stations (BSs), together with local resource allocation in the cells. We show that the network-wide resource allocation can be transformed into a convex optimization problem, and propose a distributed, hierarchical solution with limited information exchange among the BSs. Numerical results demonstrate that the proposed solution is superior to other baseline algorithms, when wireless and computing resource allocation is not jointly optimized, or the wireless resources allocated to the BSs are fixed.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2020. Vol. 9, no 2, p. 189-193
Keywords [en]
Resource management, Energy consumption, Delays, Heuristic algorithms, Bandwidth, Wireless communication, Task analysis, MEC, multi-cell, resource allocation
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-271300DOI: 10.1109/LWC.2019.2947479ISI: 000515817000014Scopus ID: 2-s2.0-85076441032OAI: oai:DiVA.org:kth-271300DiVA, id: diva2:1420582
Note

QC 20200331

Available from: 2020-03-31 Created: 2020-03-31 Last updated: 2020-03-31Bibliographically approved

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