A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access

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 wors...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2023-09, Vol.72 (9), p.12332-12337
Main Authors: Kumar, Vaibhav, Hanif, Muhammad Fainan, Juntti, Markku, Tran, Le-Nam
Format: Article
Language:English
Subjects:
Algorithms
B5G
Computation offloading
Convexity
Delays
Edge computing
Interference cancellation
Minimax techniques
Mobile computing
mobile edge computing
NOMA
Non-orthogonal multiple access
Nonorthogonal multiple access
Optimization
Servers
Task analysis
task offloading
Wireless networks
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Summary: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.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3263791