Architectures for coded mobile edge computing

Songze Li, Mohammad Ali Maddah-Ali, A. Salman Avestimehr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


We consider a mobile edge computing scenario, in which mobile users (e.g., smartphones) offload their computation requests to the computing nodes distributed at the network edge (e.g., base stations). The edge nodes process the offloaded requests in the 'computation phase', and return the results to the users in the 'communication phase' through wireless links. With emphasis on the role of coding in both computation and communication phases, we introduce new architectures for mobile edge computing to exploit the best of both and achieve three salient features: 1) Optimality: We show that coded computations can induce collaboration among the nodes in communication phase, and thus achieves minimum possible load of communication, without requiring extra computation, therefore achieves the minimum possible load of computation simultaneously. 2) Universality: The code design in the coded computation does not require channel state information in communication phase, and therefore it is universality optimum for any channel coefficient. 3) Mobility tolerance: The computation results can be delivered from any subset of the edge nodes with slightly more computations, thus mobility of the users can be dealt with effectively.

Original languageEnglish (US)
Title of host publication2017 IEEE Fog World Congress, FWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538636664
StatePublished - May 29 2018
Externally publishedYes
Event2017 IEEE Fog World Congress, FWC 2017 - Santa Clara, United States
Duration: Oct 30 2017Nov 1 2017

Publication series

Name2017 IEEE Fog World Congress, FWC 2017


Conference2017 IEEE Fog World Congress, FWC 2017
Country/TerritoryUnited States
CitySanta Clara

Bibliographical note

Publisher Copyright:
© 2017 IEEE.


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