Probabilistic Analysis of Operating Modes in Cache-Enabled Full-Duplex D2D Networks

Cache-enabled Device-to-Device (D2D) communications, recognized as one of the key enablers fifth generation (5G) cellular network, are a promising solution for reducing great burden on mobile core networks and backhaul links. Caching, however, imposes new networking user Key Performance Index (KPI), which is probability satisfaction. In other words, how likely it that will obtain necessary information from network? Such depends type transmission, (i.e., half duplex or full duplex) many elements related to caching system, including way cached popularity information. The analysis those produces different modes operation. To evaluate KPI, probabilities each mode operation must be extracted transmission conditions. This paper presents thorough probabilities, relevance relationship between policies, content types. relationships allow smooth evaluation satisfaction under