Hybrid NOMA based MIMO offloading for mobile edge computing in 6G networks

Yunus Dursun, Fang Fang, Zhiguo Ding

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Non-orthogonal multiple access (NOMA), multiple-input multiple-output (MIMO) and mobile edge computing (MEC) are prominent technologies to meet high data rate demand in the sixth generation (6G) communication networks. In this paper, we aim to minimize the transmission delay in the MIMO-MEC in order to improve the spectral efficiency, energy efficiency, and data rate of MEC offloading. Dinkelbach transform and generalized singular value decomposition (GSVD) method are used to solve the delay minimization problem. Analytical results are provided to evaluate the performance of the proposed Hybrid-NOMA-MIMO-MEC system. Simulation results reveal that the H-NOMA-MIMO-MEC system can achieve better delay performance and lower energy consumption compared to OMA.

Original languageBritish English
Pages (from-to)12-20
Number of pages9
JournalChina Communications
Volume19
Issue number10
DOIs
StatePublished - 1 Oct 2022

Keywords

  • delay minimization
  • Generalized singular value decomposition
  • MEC
  • MIMO
  • NOMA
  • sixth generation networks (6G)

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