5G NR SLICE‘LARI TRAFIGINI TAVSIFLASH UCHUN EHTIMOLIY TAQSIMOTLARNI TANLASHNING QIYOSIY TAHLILI
DOI:
https://doi.org/10.47390/ydif-y2026v2i19/n04Ключевые слова:
trafik modeli, kesilgan Pareto, Bernulli, murakkab Puasson, Hurst parametri, variatsiya koeffitsienti, G/G/1, network slicing.Аннотация
5G NR tarmoqlarida eMBB, URLLC va mMTC slice’lari o‘rtasida radiokanal o‘tkazish polosasini taqsimlash natijasi trafikning statistik modeliga bevosita bog‘liq. Mavjud modellarda trafik ko‘pincha Puasson yoki real o‘lchovlarga to‘liq mos kelmaydigan taqsimotlar bilan ifodalanadi. Tezisda bitta uzatish intervalida (TTI) keladigan paketlar sonini tavsiflovchi ehtimoliy taqsimotlarni tanlash masalasi 17 ta ilmiy manba asosida qiyosiy tahlil qilindi. Sharhlarda keltirilgan standart modellar, real tarmoq o‘lchovlari va nazariy natijalar qiyoslanib, har bir slice uchun nomzod taqsimot hamda G/G/1 navbat modeliga kiritiladigan variatsiya koeffitsientining analitik ifodasi keltirildi. eMBB uchun kesilgan Pareto, URLLC uchun siyrak yuklama rejimidagi Bernulli approksimatsiyasi, mMTC uchun esa murakkab Puasson taqsimotlari asoslandi va ularning o‘tkazish polosasiga ta’siri baholandi. Pareto va Hurst parametri o‘rtasidagi bog‘lanishning evristik xususiyati, natijaning kesish chegarasiga sezgirligi, murakkab Puasson jarayoni o‘z-o‘ziga o‘xshashlikni emas, balki portlashlilikni ifodalashi hamda ikki momentli approksimatsiya uzoq muddatli bog‘liqlikni hisobga olmasligi ko‘rsatildi. Olingan ifodalar sun’iy intellekt asosidagi neyron tarmoq approksimatori uchun o‘quv ma’lumotlarini shakllantirishda qo‘llanilishi mumkin.
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