Yaxuan Luo | Searcharxiv

arXiv2026

Proportional-Fair Joint User Grouping and Power Allocation for Uplink NOMA-ISAC

This letter addresses long-term fairness in uplink non-orthogonal multiple access integrated sensing and communication (NOMA-ISAC) systems. Existing resource allocation schemes that maximize instantaneous sum rate often favor strong users, leaving historically underserved users with poor long-term throughput. We propose PF-JUGPA, a proportional-fair scheduling based joint user grouping and power allocation method. PF-JUGPA first pre-selects users via a PF metric combining instantaneous rate proxies and historical averages, then performs fairness-aware grouping and power allocation by maximizing a weighted sum rate whose weights are inversely proportional to historical service rates. Simulation results show that PF-JUGPA significantly improves the Jain fairness index and weak-user average rates with only a modest sum-rate loss compared to sum-rate-oriented and round-robin baselines. The findings confirm that embedding long-term service history into both scheduling and resource allocation yields an effective throughput--fairness--sensing tradeoff in uplink NOMA-ISAC.

cs.IT↗

arXiv2026

Environment-Aware Resource Allocation for Pinching-Antenna-Assisted EDMA-NOMA Systems

Environment division multiple access (EDMA) exploits line-of-sight (LoS) availability, blockage diversity, and spatial isolation in the propagation environment to regulate inter-region interference, while non-orthogonal multiple access (NOMA) improves intra-region access efficiency through power-domain multiplexing and successive interference cancellation (SIC). This paper investigates heterogeneous environment-map-aware user matching and power allocation for pinching-antenna-assisted EDMA-NOMA systems. Based on large-scale path loss and an exponential LoS blockage model, an average LoS/NLoS effective large-scale channel gain is constructed, allowing the environment map to affect both desired service links and inter-region interference links. This avoids the overly optimistic assumption that environmental blockage only suppresses interference. A utility-based joint user-pairing and power-allocation algorithm (UBA-JPPA) is then proposed to jointly account for system throughput and the scheduled-user Jain fairness index under NOMA power constraints and an SIC-consistent rate definition. Simulation results show that, compared with the ablation baseline without a heterogeneous environment map, the proposed scheme provides consistent gains in sum rate, fairness, and the throughput--fairness operating region. Meanwhile, a strong EDMA-OMA benchmark remains competitive in some high-SNR regimes, indicating that the focus of this work is to verify the benefit of heterogeneous environment information for EDMA-NOMA resource allocation rather than to claim that NOMA universally outperforms OMA.

cs.IT↗