Joint Optimization of Phase Shift and Power Allocation for a V2X 6G System Assisted by RIS
Keywords:
Line of Sight (LOS), Power allocation, Terahertz (THz), Unmanned Aerial Vehicle (UAV), V2X 6G systemAbstract
Continuous increase of traffic density leads to vehicular communication complexity, leading to interference, together with high energy consumption. In this context, we adopt a 6G Terahertz (THz) spectrum for Vehicular to Everything (V2X) communication with the help of Reconfigurable Intelligent Surfaces (RIS) to mitigate the problems related to blockage in urban areas. In particular, obstacles on roads lead to a drop, which is a threat to human safety. In this context, we adopt RIS, ensuring dynamic directivity of the transmission link in order to build virtual Line of Sight (LOS) links. Following the non-convexity of the stated optimization problem, we consider Reinforcement Learning (RL) policy exploitation for problem solving related to RIS phase shift joint with transmitted power allocation in order to determine the optimal policy for data rate maximization in the new stated scenario of V2X RIS 6G. Simulation results have shown the efficiency of RIS for the V2X 6G system improvement.
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