Compressive sensing based multiuser detector for massive MBM MIMO uplink

doi:10.21629/JSEE.2020.01.03

Abstract

Abstract:

Media based modulation (MBM) is expected to be a prominent modulation scheme, which has access to the high data rate by using radio frequency (RF) mirrors and fewer transmit antennas. Associated with multiuser multiple input multiple output (MIMO), the MBM scheme achieves better performance than other conventional multiuser MIMO schemes. In this paper, the massive MIMO uplink is considered and a conjunctive MBM transmission scheme for each user is employed. This conjunctive MBM transmission scheme gathers aggregate MBM signals in multiple continuous time slots, which exploits the structured sparsity of these aggregate MBM signals. Under this kind of scenario, a multiuser detector with low complexity based on the compressive sensing (CS) theory to gain better detection performance is proposed. This detector is developed from the greedy sparse recovery technique compressive sampling matching pursuit (CoSaMP) and exploits not only the inherently distributed sparsity of MBM signals but also the structured sparsity of multiple aggregate MBM signals. By exploiting these sparsity, the proposed CoSaMP based multiuser detector achieves reliable detection with low complexity. Simulation results demonstrate that the proposed CoSaMP based multiuser detector achieves better detection performance compared with the conventional methods.

Key words: media based modulation (MBM), radio frequency (RF) mirror, compressive sensing (CS), multiple input multiple output (MIMO), multiuser detector, compressive sampling matching pursuit (CoSaMP)

Wei SONG, Wenzheng WANG. Compressive sensing based multiuser detector for massive MBM MIMO uplink[J]. Journal of Systems Engineering and Electronics, 2020, 31(1): 19-27.

Figures/Tables 6

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MAP index	Information bit sequence	Mirror 1 status	Mirror 2 status	Mirror 3 status
1	000	ON	ON	ON
2	001	ON	ON	OFF
3	010	ON	OFF	ON
4	011	ON	OFF	OFF
5	100	OFF	ON	ON
6	101	OFF	ON	OFF
7	110	OFF	OFF	ON
8	111	OFF	OFF	OFF

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