Performance Analysis of Device-to- Device Communication Pair Selection Algorithms

Abstract

With the development of mobile services and technologies, short-term data sharing between nearby users, small-scale social and business activities, and location-based services for local users will become an important source of business growth on the wireless platform. Device to Device based near user discovery technology will improve the user experience in these service modes. However, the suitable pair selection which is very challenging and optimize the system performance. Wireless technology has a number of D2D pairs selection algorithms exist; so there are many arguments for evaluating its performance to optimize the system. This research will conduct an optimal mode selection policy process that takes into account channel conditions and proposes a selection algorithm, the shortest detection distance between D2D hardware algorithm (SDA), the maximum SINR with no detection algorithm distance (MSNA) and the maximum SINR with detection distance limit to 500m algorithm (MSLA) mode selection algorithm to maximize the overall network. The system model and the operational algorithms will be represented. The analysis will be made based from the results of Matlab simulation. The obtained results showed that the average number of D2D pairs increases by increasing the area of the mobile phone distribution. In addition, it is found that the more devices available, the higher the average number of active pairs.