Device-to-Device Link Admission Policy Based on Social Interaction Information

We propose an admission policy for device-to-device (D2D) communication link based on a social interaction model. We utilize prior information on user interactive statistics such as contact frequency and contact duration among potential D2D pairs to determine the success rate of message delivery. Targeting a particular delivery success rate, we further propose methods to identify admissible D2D links according to their statistical channel state information. The social-interaction-based D2D admission policy provides a real-life guideline for practical D2D underlay operation in cellular networks.