Power Control and Evolutionary Strategy Based Slicing Resource Allocation for V2V Communication

The emerging Vehicle to Vehicle (V2V) technology supports the direct communication about road condition information between vehicles, which improves the communication efficiency and driving safety. Network slicing technology can provide network isolation for different users, which can reduce channel interference and save the cost of network resources. However, due to different resource demands and task requirements of each user, how to reasonably allocate resources and reduce the usage cost of resources is still a challenge. In this paper, we study the cost of V2V users to complete the transmission task in the scenario of shared channel with eMBB mobile cellular network users in Radio Access Network (RAN). In addition, we consider the bandwidth resource occupancy rate and the required resource size, and develop a dynamic resource pricing model to ensure the quality of user experience. Under the condition of ensuring the basic rate of cellular users, we divide the cost minimization problem of V2V users transmission tasks into two subproblems: control of transmission power and allocation of slicing bandwidth resources. Then, we propose an Evolutionary Strategy-based Bandwidth Allocation (ESBA) algorithm to complete the transmission tasks within the tolerable delay, which can avoid local minima. Simulation results show that ESBA algorithm has good convergence, and reduce the cost of V2V users transmission tasks effectively.