Abstract
Grant-free spatial modulated multi-carrier non-orthogonal multiple access (SM/MC-NOMA) is proposed for supporting the large-scale access of devices transmitting in a sporadic pattern at a low rate. Furthermore, a pair of compressive sensing (CS)-based low-complexity detectors are conceived for jointly detecting the active users and their transmitted data. These detectors are referred to as the Joint Multiuser Matching Pursuit (JMuMP) detector, and the Adaptive MuMP (AMuMP) detector, respectively. However, most of the state-of-the-art CS-based detectors designed for grant-free NOMA systems critically rely on the sparsity of the user activity. By contrast, the proposed AMuMP detector does not require any prior knowledge about the user activity in our SM/MC-NOMA system. The bit error rate (BER) performance of both detectors converges to that of the idealized ‘genie’ receiver, which has perfect knowledge of the user activity. Finally, the complexity of both detectors is quantified.
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