218 / 2020-01-02 06:43:00

Message-Passing Based Receiver Design for Coexistence of Human-Type and Machine-Type mmWave Communications

mmWave Massive MIMO; human-type communication; machine-type communication; message passing

IEEE SAM 2020: Special Sessions > Sparse and Low-Rank Methods for Array Processing and Wireless Communications

Future cellular networks are expected to support new communication paradigms such as machine type communication (MTC) services along with conventional human-type communication (HTC) services. In this paper, we study transceiver design for the uplink transmission of a HTC and MTC coexisted massive MIMO system. The common user access approach in cellular systems is to perform grant-based random access using the dedicated random-access control channel. However, the grant-based access in the existing cellular systems is unable to efficiently support massive device connectivity, due to its signaling overhead. As such, one promising solution is the grant-free random access scheme for the massive connectivity. In this context, the BS is considered to achieve joint device activity identification, channel
estimation, and signal detection. To address this issue, we propose a message-passing based statistical interference framework to systematically and efficiently solve the joint estimation (JE) problem. In specific, we develop a message passing algorithm involving affine sparse matrix factorization and service-type identification. We show that our proposed approach significantly outperforms the counterpart algorithms including the training-based algorithm.