Depth-first-search-tree based D2D power allocation algorithms for V2I/ V2V shared 5G network resources

摘要

Vehicular communication technology keeps promising to reduce the current road accidents and introduce smarter, safer, and more seamless ground transportation system. The wide deployment of 5G cellular network, supported with device-to-device (D2D) technology, can afford a good solution to enhance vehicular communication performance. The main challenges here are to guarantee reliability for all vehicle-to-vehicle (V2V) links while maximizing ergodic capacity for all vehicles-to-infrastructure (V2I) links and maximizing network's utilization. This paper offers a promising solution for all mentioned challenges in efficient runtime. Two mechanisms for allocating powers to transmitting nodes are proposed. These mechanisms are MAX-mechanism and OPT-mechanism. Moreover, an analytical model is proposed to share the available resources among nodes, where multiple V2V links should share the same channel with a V2I link. Then depth first search tree (DFST) algorithm is proposed to distribute all nodes on available resources in efficient runtime. Finally, simulation results are presented showing the performance enhancement of proposed solutions.