Inerrant-Bits Consumption for Over-the-Air Computation-based Multi-tier Computing

  • Junjie Wan
  • , Fan Zhang
  • , Kunlung Wang*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we propose an novel performance metric inerrant-bits consumption (IBC) in an Over-the-Air computation (AirComp) based multi-tier computing system to evaluate the computation efficiency, which is based on the total task computation and communication energy consumptions. Then we solve an optimal transmit power design problem to minimize the IBC of an AirComp system under the peak power constraint of sensors. To address the non-convexity of the optimization problem, an efficient optimization algorithm is developed to obtain a closed-form solution. Given the power allocation result, we obtain the task offloading result. By comparing our optimal power transmission policy with two benchmark policies in simulation, we show that our proposed scheme outperforms the baseline schemes with different SNR and the sensor number setups.

Original languageEnglish
Title of host publication2023 5th International Conference on Communications, Information System and Computer Engineering, CISCE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages346-350
Number of pages5
ISBN (Electronic)9798350326796
DOIs
StatePublished - 2023
Event5th International Conference on Communications, Information System and Computer Engineering, CISCE 2023 - Guangzhou, China
Duration: 14 Apr 202316 Apr 2023

Publication series

Name2023 5th International Conference on Communications, Information System and Computer Engineering, CISCE 2023

Conference

Conference5th International Conference on Communications, Information System and Computer Engineering, CISCE 2023
Country/TerritoryChina
CityGuangzhou
Period14/04/2316/04/23

Keywords

  • Over-the-air computation
  • computation efficiency
  • multi-tier computing
  • power allocation

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