Joint Sparse Channel Estimation And Data Transmission for Many Access MIMO System

Recently, with massive devices accessing the communication network, resource utilization will be very inefficient if we follow traditional orthogonal multiple access protocols. As an effective solution to solve the signaling overhead and expand the system capacity, the combination of active device detection (ADD) and channel estimation (CE) is now a hot topic. Allows all active devices to transmit information at the same time. Compressed sensing technology can be used to detect all active devices. In order to reduce the time used for the training sequence, this paper adopts Data Aided(DA) scheme to further improve the performance of ADD and CE. Unlike traditional DA programs: Data symbols can be used to achieve better CSI while improving active device detection performance In this way, we will greatly reduce the gap between perfect and imperfect CSI to ensure data recovery using fewer training symbols.

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