2023
DOI: 10.1016/j.phycom.2023.102050
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Subchannel and power optimization for sum rate maximization in downlink multicarrier NOMA networks

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Cited by 4 publications
(2 citation statements)
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“…The research 15 proposes a MOO problem for optimally allocating power in a downlink transmission NOMA network in order to maximize the sum rate while minimizing transmit power under the constraint of the minimum power gap among users, along with QoS and power budget constraints. For multicarrier NOMA networks, the research 16 obtain subchannel and power to maximize the sum rate while fulfilling SIC, minimum user rate, the maximum number of users in a subchannel, and power budget constraints. The research 17 explores the performance of a NOMA-based satellite-terrestrial system in terms of outage performance, ergodic sum rate, and system throughput in the presence of imperfect SIC and CSI while satisfying the QoS requirement.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The research 15 proposes a MOO problem for optimally allocating power in a downlink transmission NOMA network in order to maximize the sum rate while minimizing transmit power under the constraint of the minimum power gap among users, along with QoS and power budget constraints. For multicarrier NOMA networks, the research 16 obtain subchannel and power to maximize the sum rate while fulfilling SIC, minimum user rate, the maximum number of users in a subchannel, and power budget constraints. The research 17 explores the performance of a NOMA-based satellite-terrestrial system in terms of outage performance, ergodic sum rate, and system throughput in the presence of imperfect SIC and CSI while satisfying the QoS requirement.…”
Section: Related Workmentioning
confidence: 99%
“…The equation for 𝑔 1 (𝑑 π‘š ) is, By solving the partial derivative and equal to zero, we may get the optimal value of 𝑑 π‘š in equation (16).…”
Section: Derivation Of a Closed-form Expression 𝑑 π‘šmentioning
confidence: 99%