Open AccessUtilizing Device to Device Communication in Cellular Networks with the distance-based model selection method
Author(s) -
Kareem Dhahir Rahi,
Yousif Mohsin Hasan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/870/1/012116
Subject(s) - base station , computer science , selection (genetic algorithm) , reuse , cellular network , interference (communication) , computer network , frequency reuse , cellular communication , wireless , mode (computer interface) , reduction (mathematics) , base (topology) , distributed computing , telecommunications , channel (broadcasting) , engineering , human–computer interaction , artificial intelligence , mathematical analysis , geometry , mathematics , waste management
The recent advances in the technology of smart devices caused a tremendous increase in wireless traffic in conventional cellular networks, thus leading to overloading the base station, and hence delaying the response to users’ requests. To overcome this, Device to Device (D2D) communication has been proposed recently to alleviate the traffic congestion at the base station (BS) by establishing a direct link between users. However, deciding whether a communication should be performed directly via D2D mode or via the base station is considered one of the challenges of applying such a method. Therefore, a mode selection based model was presented in this paper. The method depends on the probability of a user’s proximity close to 1.0. Furthermore, the proposed method also takes into account the interference with both; other cellular communication and D2D communication. The simulation results showed that a significant reduction in the delay can be achieved when responding to user requests after using the proposed model selection method. The increase in frequency reuse within the cell is considered as the main reason behind this behavior. Also, for a more simplified and less complex model selection method, it is more appropriate to apply the proposed model selection method to only the cell edges.