5G NR TARMOQLARIDA GETEROGEN TRAFIKNI MODELLASHTIRISH VA RADIORESURSLARNI TAQSIMLASH BO‘YICHA ADABIYOTLAR TAHLILII
DOI:
https://doi.org/10.47390/ydif-y2026v2i19/n07Ключевые слова:
5G NR, network slicing, trafik modeli, o‘z-o‘ziga o‘xshashlik, G/G/1, o‘tkazish polosasi, neyron tarmoq, sun’iy intellekt.Аннотация
5G NR tarmoqlarining asosiy xususiyati — eMBB, URLLC va mMTC xizmatlarini yagona fizik infratuzilmada birlashtirishdir, bu esa radioresurslarni geterogen trafikning bir-biridan keskin farq qiluvchi QoS talablariga mos taqsimlash masalasini keltirib chiqaradi. Tezisda ushbu masalaga bag‘ishlangan 16 ta ilmiy manba tahliliy jihatdan o‘rganildi. Puasson modelidan o‘z-o‘ziga o‘xshash (fraktal) trafik modellariga o‘tish asoslari, og‘ir dumli taqsimotlar va Hurst parametrining roli, GI/G/m navbat nazariyasi apparati, slice’lar (network slice) o‘rtasida radiokanal o‘tkazish polosasini optimal taqsimlash modellari hamda URLLC va eMBB trafigini birgalikda rejalashtirish usullari qiyosiy tahlil qilindi. Tahlil natijasida ikki asosiy cheklov va ulardan kelib chiqadigan istiqbolli tadqiqot yo‘nalishi aniqlandi: mavjud modellarda qabul qilingan trafik taqsimotlari real tarmoq o‘lchovlariga to‘liq mos kelmaydi, optimallashtirish esa asosan oflayn rejimdagi analitik va sonli yechuvchilar yordamida bajariladi. Shu asosda real o‘lchovlarga asoslangan taqsimotlar, 5G NR numerologiyasi va QoS cheklovlarini yagona matematik modelda birlashtirgan hamda neyron tarmoq approksimatori va mustahkamlovchi o‘qitishga tayangan moslashuvchan taqsimlash modelini ishlab chiqish yo‘nalishi asoslandi.
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