Spectrum Sharing Using Meta Heuristic Genetic Model for Cellular Users and Ad-Hoc Device-To-Device Users

D2D users communicate with each other on the same frequency channels used by macro users. We develop a distributed dynamic spectrum protocol in which ad-hoc device-to-device users opportunistically access the spectrum actively in use by cellular users. In our proposed work, First, channel gain estimates by using high power node based chain optimality to set feasible transmit data using device-to-device users that keeps the interference they cause within the allowed interference temperature by using dynamic traffic assignment model (DTSM) and network information is distributed by route discovery packets in a random access way by using meta heuristic genetic model (MHGM) manner to help establish either a single-hop or multi-hop route between two device-to-device users. We improve outage probability with minimum gap analysis of device to device that network information in the discovery packet can decrease the failure rate of the route discovery at high distance based threshold and reduce the number of necessary transmissions to find an efficient route that would be simulated in MATLAB tool.