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A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access

Authors :
Kumar, V. (Vaibhav)
Hanif, M. F. (Muhammad Fainan)
Juntti, M. (Markku)
Tran, L.-N. (Le-Nam)
Kumar, V. (Vaibhav)
Hanif, M. F. (Muhammad Fainan)
Juntti, M. (Markku)
Tran, L.-N. (Le-Nam)
Publication Year :
2023

Abstract

To mitigate the computational power gap between the network core and edges, mobile edge computing (MEC) is poised to play a fundamental role in future generations of wireless networks. In this correspondence, we consider a non-orthogonal multiple access (NOMA) transmission model to maximize the worst task to be offloaded among all users to the network edge server. A provably convergent and efficient algorithm is developed to solve the considered non-convex optimization problem for maximizing the minimum number of offloaded bits in a multi-user NOMA-MEC system. Compared to the approach of optimized orthogonal multiple access (OMA), for given MEC delay, power and energy limits, the NOMA-based system considerably outperforms its OMA-based counterpart in MEC settings. Numerical results demonstrate that the proposed algorithm for NOMA-based MEC is particularly useful for delay sensitive applications.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1398428284
Document Type :
Electronic Resource