Yordanov N., Çavuşoğlu B.
ELECTRONICS (Basel), cilt.15, sa.14, ss.1-34, 2026 (Scopus)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
15
Sayı:
14
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Basım Tarihi:
2026
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Doi Numarası:
10.3390/electronics15142995
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Dergi Adı:
ELECTRONICS (Basel)
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Derginin Tarandığı İndeksler:
Scopus, Technology Collection (ProQuest), Aerospace Database, Compendex, INSPEC
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Sayfa Sayıları:
ss.1-34
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Atatürk Üniversitesi Adresli:
Evet
Özet
New Radio Vehicle-to-Everything (NR-V2X) safety scheduling is difficult because burst episodes increase urgent arrivals, lower transmission success, and create retransmissions that compete for future slots. A scheduler that waits for the visible queue can react late, whereas always reserving extra safety physical resource blocks (PRBs) consumes the best-effort (BE) capacity after the stress has passed. This study proposes Memory-Based Predictive Allocation (MPA), a finite-action PRB allocation rule for safety and BE coexistence. MPA combines the deadline queue and retry state with a decayed transient-deficit memory, online success calibration, and a recoverability-aware BE cost guard. At each slot, it tests feasible safety PRB increments and chooses the action that first limits urgent safety loss, then reduces next-slot carryover, and finally avoids unnecessary PRB use. The model uses an NR-V2X resource pool interpretation and a calibrated signal-to-interference-plus-noise-ratio (SINR)-to-success mapping with hybrid automatic repeat request (HARQ)-like combining. Monte Carlo results show that MPA lowers safety misses relative to queue-reactive scheduling while preserving more BE throughput than a maximum safety reservation. In dense non-line-of-sight (NLOS) stress, MPA keeps the 95th-percentile (p95) delivered packet delay within the three-millisecond budget and preserves 0.892 normalized BE throughput, versus 0.534 under fixed maximum reservation.