Sum-Rate Optimization for IRS-Aided D2D Communication Underlaying Cellular Networks

The intelligent reflective surface (IRS)-assisted communication is recognized as a promising technology to enhance capacity and coverage of the network by controlling propagation. However, in IRS-aided device-to-device (D2D) underlaying cellular networks, co-channel interference more complicated challenging than traditional D2D networks due addition extra reflection paths. To alleviate improve sum-rate, we establish multivariable resource optimization function based on IRS-assisted this paper. Then, hybrid sub-optimal algorithm proposed, which includes channel allocation game theory, power phase shift optimization. Specifically, sub-channel introduced maximize system where problem formulated two-stage combinatorial auction model, approximate optimal solution obtained bidding adjustment. for transmission shifts through local search iterative Simulation results show that proposed feasible effective. Compared other 5 schemes, it has best sum-rate performance lowest consumption.