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A Time- and Energy-Efficient Massive MIMO-NOMA MEC Offloading Technique: A Distributed ADMM Approach | IEEE Conference Publication | IEEE Xplore

A Time- and Energy-Efficient Massive MIMO-NOMA MEC Offloading Technique: A Distributed ADMM Approach

Publisher: IEEE

Abstract:

Mobile edge computing (MEC) is an emerging platform that enables mobile devices to offload computation intensive tasks to the edge servers co-located with base stations (...View more

Abstract:

Mobile edge computing (MEC) is an emerging platform that enables mobile devices to offload computation intensive tasks to the edge servers co-located with base stations (BSs) at the network edge for enhanced computation capabilities and low latency. This paper investigates the computation offloading problem in next-generation massive multiple-input multiple-output (M-MIMO) non-orthogonal multiple access (NOMA) MEC networks using a distributed alternating direction method of multipliers (ADMM) approach. Specifically, we develop a novel ADMM-based offloading algorithm to optimize latency and increase energy efficiency over next-generation mobile networks in a multiuser M-MIMO NOMA configuration. Simulation results demonstrate that the proposed offloading scheme significantly improves the system performance.
Date of Conference: 04-08 December 2022
Date Added to IEEE Xplore: 11 January 2023
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: Rio de Janeiro, Brazil

References

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