Modeling D2D-enhanced IoT Connectivity
Tatiana Milovanova, Rostislav Razumchik, Dmitry Kozyrev
In the light of the proliferation of the Internet of Things (IoT), the deviceto-device (D2D) communication is becoming a promising technology and a key enabler for enhancing the energy eﬃciency of the wireless network environment and reducing the traﬃc latency between user equipments (UEs) within their communication range. This papers considers an analytical framework for modeling a communication oﬄoading scenario within the D2D communications underlaying cellular network, where a UE generates a session toward another UE in the same cell. The designed analytical model aims to improve the system capacity and energy-eﬃciency by oﬄoading cellular traﬃc onto D2D communications when the source and destination UEs are proximate enough to satisfy their QoS requirements.