Intelligent Reflecting Surface for Massive Device Connectivity: Joint Activity Detection and Channel Estimation
Shuhao Xia, Yuanming Shi
Abstract
Intelligent Reflecting Surface (IRS) has been a promising solution to enhance wireless networks both spectral-efficiently and energy-efficiently. This paper considers an IRS-assisted the Internet of Things network for massive connectivity. We aim to solve the IRS-related activity detection and channel estimation problem which has not been studied before. In this paper, we formulate the IRS-related activity detection and channel estimation problem as sparse matrix factorization, matrix completion and multiple measurement vector problem and, we propose a three-stage framework based on the approximate message passing. Simulation results verify the effectiveness of the proposed algorithm.
Topics & Concepts
Computer scienceChannel (broadcasting)Matrix decompositionJoint (building)Matrix (chemical analysis)Internet of ThingsWirelessMessage passingEnergy (signal processing)AlgorithmComputer networkDistributed computingArtificial intelligenceTelecommunicationsMathematicsEngineeringEmbedded systemPhysicsComposite materialMaterials scienceStatisticsQuantum mechanicsArchitectural engineeringEigenvalues and eigenvectorsAdvanced Wireless Communication TechnologiesIndoor and Outdoor Localization TechnologiesCooperative Communication and Network Coding