Beamforming Design for IRS-assisted D2D Communication System Under Urban Street Scenarios
Considering the spectrum sharing between cellular users and D2D users,and the wireless channel characteristic of urban streets,an Intelligent Reflecting Surface(IRS)-assisted joint beamforming method is proposed.Under the constraints of signal to interference plus noise ratio for D2D link,the parameter including optimal beamforming vectors and phase-shift matrices and D2D transmitting powers are designed with the objective of maximizing cellular user capacity.The nonconvex coupling variable optimization problem is transformed into the convex decoupling variable optimization problem and binary search power allocation by introducing slack variables,and the reflection phase-shift matrices are also optimized with Riemann conjugate gradient algorithms.Simulation results show that the proposed algorithm has perfect convergence and higher user channel capacity comparing with the baseline schemes.