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NOMA in the Uplink: Delay Analysis with Imperfect CSI and Finite-Length Coding
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We study whether using non-orthogonal multiple access (NOMA) in the uplink of a mobile network can improve the performance over orthogonal multiple access (OMA) when the system requires ultra-reliable low-latency communications (URLLC). To answer this question, we first consider an ideal system model with perfect channel state information (CSI) at the transmitter and long codewords, where we determine the optimal decoding orders when the decoder uses successive interference cancellation (SIC) and derive closed-form expressions for the optimal rate when joint decoding is used. While joint decoding performs well even under tight delay constraints, NOMA with SIC decoding often performs worse than OMA. For low-latency systems, we must also consider the impact of finite-length channel coding, as well as rate adaptation based imperfect CSI. We derive closed-form approximations for the corresponding outage or error probabilities and find that those effects create a larger performance penalty for NOMA than for OMA. Thus, NOMA with SIC decoding may often be unsuitable for URLLC.
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Cited by 1 Pith paper
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Downlink Analysis of NOMA-enabled Cellular Networks with 3GPP-inspired User Ranking
A 3GPP-inspired cell-center/cell-edge user pairing enables tractable stochastic geometry analysis of NOMA, showing higher cell sum-rate and effective capacity than OMA.
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