4.7 Article

Outage Probability Analysis for the Multi-Carrier NOMA Downlink Relying on Statistical CSI

Journal

IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 68, Issue 6, Pages 3572-3587

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2020.2979849

Keywords

NOMA; Probability; Power system reliability; Downlink; Resource management; Silicon carbide; Transmitters; Outage probability; non-orthogonal multiple access; MC-NOMA; channel state information (CSI); shifted exponential distribution; Mellin transform; generalized upper incomplete Fox's H function

Funding

  1. Engineering and Physical Sciences Research Council [EP/R006385/1, EP/N004558/1, EP/P034284/1]
  2. Royal Society's Global Challenges Research Fund Grant
  3. European Research Council's Advanced Fellow Grant QuantCom
  4. EPSRC [EP/N004558/1, EP/P034284/1, EP/R006385/1] Funding Source: UKRI

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In this treatise, we derive tractable closed-form expressions for the outage probability of the single cell multi-carrier non-orthogonal multiple access (MC-NOMA) downlink, where the transmitter side only has statistical CSI knowledge. In particular, we analyze the outage probability with respect to the total data rates (summed over all subcarriers), given a minimum target rate for the individual users. The calculation of outage probability for the distant user is challenging, since the total rate expression is given by the sum of logarithmic functions of the ratio between two shifted exponential random variables, which are dependent. In order to derive the closed-form outage probability expressions both for two subcarriers and for a general case of multiple subcarriers, efficient approximations are proposed. The probability density function (PDF) of the product of shifted exponential distributions can be determined for the near user by the Mellin transform and the generalized upper incomplete Fox's H function. Based on this PDF, the corresponding outage probability is presented. Finally, the accuracy of our outage analysis is verified by simulation results.

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