NEYRON TARMOQLARI ASOSIDA 5G RADIORESURSLARINI OPTIMAL TAQSIMLASH
Nashr etilgan: 2026-04-18
Annotatsiya
Ushbu ishda neyron tarmoqlardan foydalangan holda ommaviy M2M qurilmalarini qoʻllab-quvvatlash uchun 5G tarmoqlarida radioresurslarni optimal taqsimlash muammosi koʻrib chiqilmoqda. Paketlarning ustuvorliklari va kechikishlarini hisobga oluvchi ALOHA-EPning oʻzgartirilgan ixtiyoriy foydalanish algoritmi taklif etildi. Matematik model tizimning ehtimoliy-vaqtinchalik tavsiflarini baholash uchun ishlatiladi. Radioresurslarni taqsimlash MATLABda SQP va MultiStart usullari yordamida optimallashtiriladi. Optimallashtirish natijalari asosida M2M-qurilmalar uchun ajratiladigan radioresurslar ulushini bashorat qilish neyron tarmog’i o’qitiladi. M2M qurilmalari faolligining dinamik vaqt oralig’i LSTM (Long Short-Term Memory) va boshqa mashina o’rganish usullari yordamida prognoz qilinadi. Taklif etilayotgan usulning samaradorligi koʻrsatildi.
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