Performance Analysis of Pair-Wise Symbol Detection in Uplink NOMA-ISaC Systems

This paper investigates the bit error rate (BER) and outage probability performance of integrated sensing and communication (ISaC) in uplink non-orthogonal multiple access (NOMA) systems. Specifically, we consider an ISaC framework where the radar signal is designed to be orthogonal to the communication signal over two symbol periods, ensuring complete interference elimination when decoding consecutive symbol pairs. This approach resembles multi-symbol rate NOMA, except that the radar waveform, carrying no data, is explicitly designed to be orthogonal to the transmitted communication signal. To mitigate potential decision ambiguities during pairwise data detection, a constant phase offset is applied to adjacent communication symbols at the transmitter. We analyze system performance by deriving closed-form expressions for the exact BER using zero-forcing (ZF) receivers. Additionally, we present closed-form upper bound expressions for BER and outage probability for both ZF and joint maximum likelihood (JML) detectors. Furthermore, we evaluate the detection and false alarm probability performance of the radar system, demonstrating that the analytical results align with simulations. The derived expressions offer valuable insights into the performance of this novel ISaC system, highlighting the impact of key parameters and illustrating how the ZF receiver balances performance and complexity compared to the JML receiver under a variety of conditions and system settings.

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Publication Details

Journal
IEEE Open Journal of the Communications Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojcoms.2025.3556588
Citations
2
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
1.46
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article

Performance Analysis of Pair-Wise Symbol Detection in Uplink NOMA-ISaC Systems

Emad Alsusa, Arafat Al‐Dweik, Haofeng Liu
2 citations
IEEE Open Journal of the Communications Society
Advanced Wireless Communication Technologies
1.46
article

Performance Analysis of Pair-Wise Symbol Detection in Uplink NOMA-ISaC Systems

Emad Alsusa, Arafat Al‐Dweik, Haofeng Liu
article en
2 citations

Abstract

This paper investigates the bit error rate (BER) and outage probability performance of integrated sensing and communication (ISaC) in uplink non-orthogonal multiple access (NOMA) systems. Specifically, we consider an ISaC framework where the radar signal is designed to be orthogonal to the communication signal over two symbol periods, ensuring complete interference elimination when decoding consecutive symbol pairs. This approach resembles multi-symbol rate NOMA, except that the radar waveform, carrying no data, is explicitly designed to be orthogonal to the transmitted communication signal. To mitigate potential decision ambiguities during pairwise data detection, a constant phase offset is applied to adjacent communication symbols at the transmitter. We analyze system performance by deriving closed-form expressions for the exact BER using zero-forcing (ZF) receivers. Additionally, we present closed-form upper bound expressions for BER and outage probability for both ZF and joint maximum likelihood (JML) detectors. Furthermore, we evaluate the detection and false alarm probability performance of the radar system, demonstrating that the analytical results align with simulations. The derived expressions offer valuable insights into the performance of this novel ISaC system, highlighting the impact of key parameters and illustrating how the ZF receiver balances performance and complexity compared to the JML receiver under a variety of conditions and system settings.

IEEE Open Journal of the Communications SocietyVol. 6
Khalifa University of Science and Technology (AE), University of Manchester (GB)
Openalex Percentile: Top 18%
Advanced Wireless Communication Technologies
1.46
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Performance Analysis of Pair-Wise Symbol Detection in Uplink NOMA-ISaC Systems — Emad Alsusa, Arafat Al‐Dweik, et al. · IEEE Open Journal of the Communications Society (2025) | TGRS Research Map | TGRS