Delay Guarantee and Effective Capacity of Downlink NOMA Fading Channels

Chiyang Xiao, Jie Zeng*, Wei Ni, Ren Ping Liu, Xin Su, Jing Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

Nonorthogonal multiple access (NOMA) is promising for increasing connectivity and capacity. But there has been little consideration on the quality of service of NOMA; let alone that in generic fading channels. This paper establishes closed-form upper bounds for the delay violation probability of downlink Nakagami-m and Rician NOMA channels, by exploiting stochastic network calculus (SNC). The key challenge addressed is to derive the Mellin transforms of the service processes in the NOMA fading channels. The transforms are proved to be stable, and incorporated into the SNC to provide the closed-form upper bounds of the delay violation probability. The paper also applies the Mellin transforms to develop the closed-form expressions for the effective capacity of the NOMA fading channels, which measures the channel capacity under statistical delay guarantees. By further applying the min-max and max-min rules, two new power allocation algorithms are proposed to optimize the closed-form expressions, which can provide the NOMA users fairness in terms of delay violation probability and effective capacity. Simulation results substantiate the derived upper bounds of the delay violation probabilities, and the effective capacity. The proposed power allocation algorithms are also numerically validated.

Original languageEnglish
Article number8649644
Pages (from-to)508-523
Number of pages16
JournalIEEE Journal on Selected Topics in Signal Processing
Volume13
Issue number3
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes

Keywords

  • NOMA
  • delay violation probability
  • effective capacity
  • stochastic network calculus

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Xiao, C., Zeng, J., Ni, W., Liu, R. P., Su, X., & Wang, J. (2019). Delay Guarantee and Effective Capacity of Downlink NOMA Fading Channels. IEEE Journal on Selected Topics in Signal Processing, 13(3), 508-523. Article 8649644. https://doi.org/10.1109/JSTSP.2019.2900938