The mobile device demand has been increased and it is estimated that in upcoming 10 years, the wireless cellular demand will increase up to 500 times. And it is not possible only with the cellular networks to satisfy this huge demand. To meet the huge requirement from the mobile end user, 5G networks enabled device to device communication can be applied. Device to Device (D2D) connection is the direct link among the two devices without the intervention of main station. Thus, D2D reduces the latency. And 5G are supported for the high data rates. Furthermore, for efficient transmission, multicast device to device communication is used. Multicast distrubutes the messages to multiple users of the restricted geographical area. Trustworthy communication is necessary for multicast D2D communication. Enhanced Diffie–Hellman algorithm is used for the trustworthiness.
Deep Learning-based Resource Allocation For Device-to-Device Communication
