Efficient Multi-Stage Active Device Identification in Massive Random Access Networks

A novel multi-stage active device identification framework is proposed to efficiently recover the sparse set of active devices in massive machine-type communications (mMTC) networks, leveraging feedback and hypothesis testing across multiple stages.