TY - GEN
T1 - Delay-Outage Analysis of OFDMA-Based Task Offloading in Edge Computing Networks
AU - Ospanova, Aigerim
AU - Maham, Behrouz
N1 - Funding Information:
This research was supported by the Faculty Development Competitive Research Grant (No. 240919FD3918), Nazarbayev University.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we evaluate the performance of a multiple access edge computing system for task offloading over Rayleigh and Nakagami-m wireless fading channels. In our model, the user device simultaneously offloads a complex task to multiple edge nodes for processing by means of orthogonal frequency-division multiple access (OFDMA) scheme. The proposed scheme is suitable for millimeter Wave (mmWave) bands considered in 5G and beyond mobile networks. To assess the system efficiency, the delay-reliability metric is introduced in the context of the delay-outage probability. We investigate the delay-outage probability expression analytically for the proposed scheme and determine the optimized task size to minimize the offloading delay. Dependency of the system performance on various parameters is also analyzed in this work. Simulation results are provided to numerically evaluate the system reliability. It is found that the selection based scheme in which a single edge node is selected is recommended for OFDMA-based task offloading.
AB - In this paper, we evaluate the performance of a multiple access edge computing system for task offloading over Rayleigh and Nakagami-m wireless fading channels. In our model, the user device simultaneously offloads a complex task to multiple edge nodes for processing by means of orthogonal frequency-division multiple access (OFDMA) scheme. The proposed scheme is suitable for millimeter Wave (mmWave) bands considered in 5G and beyond mobile networks. To assess the system efficiency, the delay-reliability metric is introduced in the context of the delay-outage probability. We investigate the delay-outage probability expression analytically for the proposed scheme and determine the optimized task size to minimize the offloading delay. Dependency of the system performance on various parameters is also analyzed in this work. Simulation results are provided to numerically evaluate the system reliability. It is found that the selection based scheme in which a single edge node is selected is recommended for OFDMA-based task offloading.
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U2 - 10.1109/VTC2022-Fall57202.2022.10013069
DO - 10.1109/VTC2022-Fall57202.2022.10013069
M3 - Conference contribution
AN - SCOPUS:85146993497
T3 - IEEE Vehicular Technology Conference
BT - 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022
Y2 - 26 September 2022 through 29 September 2022
ER -