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 language | British English |
|---|---|
| Pages (from-to) | 12-20 |
| Number of pages | 9 |
| Journal | China Communications |
| Volume | 19 |
| Issue number | 10 |
| DOIs | |
| State | Published - 1 Oct 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- delay minimization
- Generalized singular value decomposition
- MEC
- MIMO
- NOMA
- sixth generation networks (6G)
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