Abstract
In this letter, an efficient multiuser detection (MUD) is proposed for the grant-free non-orthogonal multiple access in the scenario with dynamic active users and unknown temporal-correlated channels. The proposed MUD performs active user and slot detection, channel estimation, and data detection simultaneously by iterative generalized approximate message passing (GAMP) and message passing (MP) over the joint factor graph. Concretely, GAMP is to decouple the transmissions of different users, and MP to update channel and user activity information. Finally, computer simulations are provided to validate the performance of the proposed method.
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