SINR based association algorithm for indoor device-to-device communication networks

The new generation telecommunications is growing at a spectacular pace and Device-to-Device (D2D) communication networks plays major role to meet the growing demands by billions of connected devices over the globe. Generally, indoor based D2D communication networks relays on distributed small cell solutions for better connectivity. This research proposes Signal-to-Interference-plus-Noise Ratio (SINR) based – Device Association Vector Algorithm (S-DAVA) for maximum network connectivity by efficiently discovering the neighbors and its D2D link based on network sum rate and SINR. The algorithm uses Rician model for Line-of-Sight (LoS) component to investigate the D2D network performance. The algorithm when evaluated with other conventional methods showed an improvement of 18.85% in throughput, and 10% of efficiency in energy with reduced network delay of 19%. This paper also checks its performance over traffic load, outage probability and network sum rate.