Abstract:
Device to Device communication (D2D) has an important role in the transition from base station oriented network to the next generation infrastructure less wireless networ...Show MoreMetadata
Abstract:
Device to Device communication (D2D) has an important role in the transition from base station oriented network to the next generation infrastructure less wireless network. Considering application specific proximity based services, D2D communication can offload base station from huge data traffic which in turn improve the cellular network service. This will be in turn a more energy efficient step towards Green Communication paradigm. In this article, a unified independent marked Poisson Point Process (imPPP) based analytical framework has been presented to analyze the offloading gain of D2D communication and impact of that on the performance of the cellular network. Poisson Point Process (which is having the highest entropy among all another point processes) is a very effective mathematical tool to model randomly distributed nodes in a spatial domain. Aggregated interference from spatially distributed interferers characterized through the presented mathematical framework. Rayleigh fading which is a generalized version of Nakagami-m (following gamma distribution) fading distribution (same as Rayleigh fading (following exponential distribution) when shape factor m=1) has been considered to analyze the effect of the propagation characteristic on link level performance. The impact of different traffic patterns (Slotted-synchronous and Siotted-asynchronous) on throughput also presented through statistical analysis and simulation study. MatLab based simulation study has been carried out to validate the presented analytical framework for performance analysis of D2D assisted cellular network according to the standard simulation parameters mentioned in 3GPP Release-12.
Date of Conference: 15-17 December 2017
Date Added to IEEE Xplore: 11 October 2018
ISBN Information: