“…Assumption 2: Perfect channel state information (CSI) is assumed to be known at both the Tx and the Rx following the setup of typical SSM systems [9]- [15], [17], [19], [20].…”
Section: A Model Assumptionsmentioning
confidence: 99%
“…J. Zhang et al developed an adaptive SSM scheme to maximize the data rate constrained by a maximal tolerable bit error probability [14]. Y. Ding et al extended the SSM to the generalized SSM (GSSM) by configuring multiple RF chains by allowing acceptable hardware overhead [15]. S. Guo further analyzed the spectral efficiency of GSSM and emphasized it as a breakthrough in mmWave MIMO [16].…”
In this paper, a multipath component aggregation (MCA) mechanism is introduced for spatial scattering modulation (SSM) to overcome the limitation in conventional SSM that the transmit antenna array steers the beam to a single multipath (MP) component at each instance. In the proposed MCA-SSM system, information bits are divided into two streams. One is mapped to an amplitude-phase-modulation (APM) constellation symbol, and the other is mapped to a beam vector symbol which steers multiple beams to selected strongest MP components via an MCA matrix. In comparison with the conventional SSM system, the proposed MCA-SSM enhances the bit error performance by avoiding both low receiving power due to steering the beam to a single weak MP component and inter-MP interference due to MP components with close values of angle of arrival (AoA) or angle of departure (AoD). For the proposed MCA-SSM, a union upper bound (UUB) on the average bit error probability (ABEP) with any MCA matrix is analytically derived and validated via Monte Carlo simulations. Based on the UUB, the MCA matrix is analytically optimized to minimize the ABEP of the MCA-SSM. Finally, numerical experiments are carried out, which show that the proposed MCA-SSM system remarkably outperforms the state-of-the-art SSM system in terms of ABEP under a typical indoor environment.
“…Assumption 2: Perfect channel state information (CSI) is assumed to be known at both the Tx and the Rx following the setup of typical SSM systems [9]- [15], [17], [19], [20].…”
Section: A Model Assumptionsmentioning
confidence: 99%
“…J. Zhang et al developed an adaptive SSM scheme to maximize the data rate constrained by a maximal tolerable bit error probability [14]. Y. Ding et al extended the SSM to the generalized SSM (GSSM) by configuring multiple RF chains by allowing acceptable hardware overhead [15]. S. Guo further analyzed the spectral efficiency of GSSM and emphasized it as a breakthrough in mmWave MIMO [16].…”
In this paper, a multipath component aggregation (MCA) mechanism is introduced for spatial scattering modulation (SSM) to overcome the limitation in conventional SSM that the transmit antenna array steers the beam to a single multipath (MP) component at each instance. In the proposed MCA-SSM system, information bits are divided into two streams. One is mapped to an amplitude-phase-modulation (APM) constellation symbol, and the other is mapped to a beam vector symbol which steers multiple beams to selected strongest MP components via an MCA matrix. In comparison with the conventional SSM system, the proposed MCA-SSM enhances the bit error performance by avoiding both low receiving power due to steering the beam to a single weak MP component and inter-MP interference due to MP components with close values of angle of arrival (AoA) or angle of departure (AoD). For the proposed MCA-SSM, a union upper bound (UUB) on the average bit error probability (ABEP) with any MCA matrix is analytically derived and validated via Monte Carlo simulations. Based on the UUB, the MCA matrix is analytically optimized to minimize the ABEP of the MCA-SSM. Finally, numerical experiments are carried out, which show that the proposed MCA-SSM system remarkably outperforms the state-of-the-art SSM system in terms of ABEP under a typical indoor environment.
“…The state-of-the-art of IM schemes in mmWave communications assumed orthogonality among paths when the array size is large [9], [12], [16], [18], [19]. Nonetheless, this orthogonality assumption is unrealistic, and in practice, there is a correlation among each couple of paths that is not ignorable for indexing paths [13].…”
Section: B Motivations and Contributionsmentioning
confidence: 99%
“…Another drawback of the SSM scheme is the orthogonality assumption among paths. Generalized SSM (GSSM) is also proposed in [16] by indexing a set of paths instead of a single path. Both works of [12] and [16] adopt linear arrays at the transmitter and receiver, which are not capable of resolving scattering paths in both azimuth and elevation directions.…”
Section: Introductionmentioning
confidence: 99%
“…Generalized SSM (GSSM) is also proposed in [16] by indexing a set of paths instead of a single path. Both works of [12] and [16] adopt linear arrays at the transmitter and receiver, which are not capable of resolving scattering paths in both azimuth and elevation directions. Moreover, in [9], the authors investigated a generalization three dimensions (3D) SSM scheme to facilitate the problem of path resolution in both azimuth and elevation dimensions.…”
In this paper, we propose a transmission mechanism for a reconfigurable intelligent surface (RIS)-assisted millimeter wave (mmWave) system based on cluster index modulation (CIM), named best-gain optimized cluster selection CIM (BGCS-CIM). The proposed BGCS-CIM scheme considers effective cluster power gain and spatial diversity gain obtained by the additional paths within the indexed cluster to construct an efficient codebook. We also integrate the proposed scheme into a practical system model to create a virtual path between transmitter and receiver where the direct link has been blocked. Thanks to the designed whitening filter, a closed-form expression for the upper bound on the average bit error rate (ABER) is derived and used to validate the simulation results. It has been shown that the proposed BGCS-CIM scheme outperforms the existing benchmarks thanks to its higher effective cluster gain, spatial diversity of indexed clusters, and lower inter-cluster interference.
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