Throughput Maximization for Intelligent Reflecting Surface-Aided Device-to-Device Communications System
Chiya Zhang, Wenyu Chen, Chunlong He, Xingquan Li
Abstract
Intelligent reflecting surface (IRS) is a promising technology for its capability of reflecting the incident signal towards the desired user. IRS can improve the efficiency of wireless communication systems. This paper introduces IRS into a device-to-device (D2D) communications system to improve the throughput of the D2D network. We adopt the block coordinate descent algorithm and semidefinite relaxation technique to optimize the beamforming vector, power allocation and phase shift matrix. Simulation results demonstrate that IRS is able to enhance the throughput of the D2D communications system, and the proposed algorithm significantly outperforms the other benchmark algorithms.
Topics & Concepts
ThroughputComputer scienceBenchmark (surveying)BeamformingCoordinate descentCommunications systemWirelessBlock (permutation group theory)Gradient descentElectronic engineeringComputer networkAlgorithmArtificial intelligenceEngineeringArtificial neural networkTelecommunicationsMathematicsGeodesyGeographyGeometryAdvanced Wireless Communication TechnologiesSatellite Communication SystemsAdvanced Antenna and Metasurface Technologies