2022
DOI: 10.23919/jcc.2022.00.024
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Hybrid NOMA based MIMO offloading for mobile edge computing in 6G networks

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Cited by 21 publications
(7 citation statements)
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“…in which λ k is the eigenvalues associated with the eigenvectors of the MIMO channel matrix. An alternative method is detailed in [13]- [15] and relies on using generalized singu-lar value decomposition (GSVD) -a technique considered to be an efficient approach to channel evaluation. It is worth noting that the two methods can be applied to any number of transmitting and receiving antennas, i.e.…”
Section: Input: H H H N and Y Y Y Nmentioning
confidence: 99%
See 1 more Smart Citation
“…in which λ k is the eigenvalues associated with the eigenvectors of the MIMO channel matrix. An alternative method is detailed in [13]- [15] and relies on using generalized singu-lar value decomposition (GSVD) -a technique considered to be an efficient approach to channel evaluation. It is worth noting that the two methods can be applied to any number of transmitting and receiving antennas, i.e.…”
Section: Input: H H H N and Y Y Y Nmentioning
confidence: 99%
“…Mobile edge computing (MEC) utilizing the MIMO-NOMA approach has been proposed in [13] to cope with the high demand for suitable data rates observed in sixth generation wireless communication networks (6G). In the paper, the transmission delay existing in a MEC-MIMO-NOMA system was minimized for the sake of enhancing spectral and energy efficiencies.…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…It is very difficult to compare channel matrices in MIMO networks. In their work [24], [25], the authors propose the generalized singular value decomposition (GSVD) approach turning MIMO channels into several single-input single-output (SISO) channels [24], [25]. The authors look at how well MIMO-NOMA networks minimize delays when limits concerning transmission time and power are imposed.…”
Section: Related Workmentioning
confidence: 99%
“…To further improve network coverage and reliability and meanwhile ensure user quality of service, hybrid NOMA [8][9][10][11][12], in which NOMA and OMA can be freely switched, and collaborative NOMA have been studied in the existing works of literature. The authors in [8] use the hybrid NOMA model to minimize the transmission delay of MIMO-mobile edge computing (MEC) in 6G communication networks. The advantageous performance of hybrid NOMA in cognitive radio systems is studied in [9].…”
Section: Introductionmentioning
confidence: 99%