Enhanced D2D Communication Model in 5G Networks

Abstract

Device-to-Device (D2D) communication model employs device-centric wireless connectivity. D2D maintains reliability of links, enhances spectrum utilization and energy consumption. Hence, it is expected to play an important role in 5th Generation (5G) mobile networks. However, D2D incurs challenges in resources management, and device discovery. This paper improves D2D performance by redefining and developing its clustering and communication models. Also, a context adaptive device proximity discovery technique is presented. The proposed proximity model uses several factors for accurate device measurements, this includes Received Signal Strength Indicator (RSSI), network density and distance between participating devices. An intensive evaluation and comparison study was conducted. Results have confirmed that proposed D2D achieved an improved performance comparing to similar models by reducing overall end-to-end (E2E) delay and improving packet delivery ratio (PDR) in the network. During simulation scenarios, average PDR achieved was 93.2% and average E2E delay experienced was 2.9 ms.