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HUANG Fuchun, ZHU Han, TANG Xiaoqing, YANG Fan, HUANG Jie. Index Modulation Design with Sparse Spatial Constellation and Dynamic Multi-RIS-Block Selection for RIS-MIMO Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT251289
Citation: HUANG Fuchun, ZHU Han, TANG Xiaoqing, YANG Fan, HUANG Jie. Index Modulation Design with Sparse Spatial Constellation and Dynamic Multi-RIS-Block Selection for RIS-MIMO Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT251289

Index Modulation Design with Sparse Spatial Constellation and Dynamic Multi-RIS-Block Selection for RIS-MIMO Systems

doi: 10.11999/JEIT251289 cstr: 32379.14.JEIT251289
Funds:  National Natural Science Foundation of China (62301094), Hubei Provincial Key Research and Development Program Project (2023BAB082), Chongqing Special Key Project of Technological Innovation and Application Development (CSTB2024TIAD-STX0034), Guangdong Provincial University Characteristic and Innovation Project (2025KTSCX202)
  • Accepted Date: 2026-04-17
  • Rev Recd Date: 2026-04-17
  • Available Online: 2026-05-04
  •   Objective  Reconfigurable Intelligent Surface (RIS)-assisted Multiple-Input Multiple-Output (MIMO) Index Modulation (IM) systems face two main challenges: the difficult deployment of a single large-scale RIS panel and the high design complexity of efficient transmit spatial signal vectors. To address these issues, a joint design that combines sparse spatial constellation and dynamic multi-RIS-block selection is proposed. The design improves spectral efficiency, Bit Error Rate (BER) performance, and deployment flexibility.  Methods  Inspired by the Extended Space Index Modulation (ESIM) paradigm, a sparse spatial constellation with two active antennas (SCTA) is proposed, forming the SCTA-RIS-SM system. In this design, Pulse Amplitude Modulation (PAM) and Secondary PAM (SPAM) constellations are combined to construct the spatial constellation vector [x1,x2]T, which is modulated onto two active antennas. This design maximizes the Minimum Euclidean Distance (MED) between transmit vectors and improves the anti-interference capability of the system. To address the deployment difficulty of a single large-scale RIS panel, an enhanced SCTA-MBRIS-SM system is further proposed. The system uses a distributed array of small RIS blocks and dynamically selects a subset of blocks for cooperative reflection. Different RIS block selection combinations are used as a new IM dimension. Spectral efficiency and average BER are then analyzed theoretically. Monte Carlo simulations are conducted to compare the proposed systems with several existing schemes.  Results and Discussions  The simulation results show that the proposed SCTA-RIS-SM system achieves clear Signal-to-Noise Ratio (SNR) gains over RIS-SIM, RIS-SM, and DHRIS-SM systems at the same spectral efficiency, such as 10-12 bits/(s·Hz). For instance, when BER = 10–3, SCTA-RIS-SM outperforms RIS-SIM by approximately 1.5-2.5 dB and DHRIS-SM by more than 6 dB. By using additional IM from RIS block selection, SCTA-MBRIS-SM further improves BER performance and spectral efficiency compared with SCTA-RIS-SM, without increasing the number of Radio Frequency (RF) chains. With the same total number of reflecting elements, the proposed multi-RIS-block scheme achieves an SNR gain of up to 5 dB over RIS-SIM when BER = 10−3. The theoretical BER curves agree well with the simulation results in the high-SNR region, confirming the validity of the analytical derivations. The results also indicate that the performance advantage is maintained as the number of transmit antennas increases. In addition, the proposed design is compatible with channel coding.  Conclusions  This paper addresses the challenges of large-scale RIS deployment and high-complexity spatial signal design in RIS-assisted MIMO systems. The proposed SCTA design improves system reliability by optimizing the Euclidean distance distribution in the signal space. Dynamic multi-RIS-block selection transforms hardware deployment constraints into a new dimension for improving spectral efficiency, providing a feasible path for practical large-scale RIS applications. Simulation results confirm that joint optimization of transmit spatial vectors and RIS reflection degrees of freedom is an effective strategy for improving system performance. Future work will focus on robust design under imperfect channel state information, construction of higher-dimensional sparse constellations, extension to extremely large-scale MIMO scenarios, and multi-user communications.
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  • [1]
    MESLEH R, IKKI S S, and AGGOUNE H M. Quadrature spatial modulation[J]. IEEE Transactions on Vehicular Technology, 2015, 64(6): 2738–2742. doi: 10.1109/tvt.2014.2344036.
    [2]
    ZHU Feifei, HAI Han, PENG Yuyang, et al. Extended variable active antenna generalized spatial modulation[J]. IEEE Wireless Communications Letters, 2024, 13(2): 265–269. doi: 10.1109/LWC.2023.3322005.
    [3]
    ABU-HUDROUSS A M, EL ASTAL M T O, AL HABBASH A H, et al. Signed quadrature spatial modulation for MIMO systems[J]. IEEE Transactions on Vehicular Technology, 2020, 69(3): 2740–2746. doi: 10.1109/TVT.2020.2964118.
    [4]
    HUANG Fuchun and LI Dong. Extended space index modulation[J]. IEEE Wireless Communications Letters, 2022, 11(6): 1171–1175. doi: 10.1109/LWC.2022.3160059.
    [5]
    HUANG Fuchun and LI Dong. Spatial modulation with joint permutation, group and antenna indexes[J]. IEEE Wireless Communications Letters, 2023, 12(4): 753–757. doi: 10.1109/LWC.2023.3243433.
    [6]
    BASAR E. Reconfigurable intelligent surface-based index modulation: A new beyond MIMO paradigm for 6G[J]. IEEE Transactions on Communications, 2020, 68(5): 3187–3196. doi: 10.1109/TCOMM.2020.2971486.
    [7]
    ZHANG Lechen, LEI Xia, XIAO Yue, et al. Large intelligent surface-based generalized index modulation[J]. IEEE Communications Letters, 2021, 25(12): 3965–3969. doi: 10.1109/LCOMM.2021.3119522.
    [8]
    MA Teng, XIAO Yue, LEI Xia, et al. Large intelligent surface assisted wireless communications with spatial modulation and antenna selection[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(11): 2562–2574. doi: 10.1109/JSAC.2020.3007044.
    [9]
    GUO Shuaishuai, LV Shuheng, ZHANG Haixia, et al. Reflecting modulation[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(11): 2548–2561. doi: 10.1109/JSAC.2020.3007060.
    [10]
    SANILA K S and RAJAMOHAN N. Joint spatial and reflecting modulation for active IRS assisted MIMO communications[J]. IEEE Transactions on Communications, 2023, 71(5): 3132–3143. doi: 10.1109/TCOMM.2023.3258486.
    [11]
    YASIN S H, OMER O A, NOR A M, et al. Reconfigurable intelligent surfaces-assisted enhanced spatial modulation for future wireless networks[J]. IEEE Access, 2023, 11: 142652–142662. doi: 10.1109/ACCESS.2023.3339644.
    [12]
    AN Bo, WU Liang, ZHANG Zaichen, et al. Enhanced reconfigurable intelligent surface-assisted spatial index modulation[J]. IEEE Transactions on Communications, 2024, 72(5): 2610–2624. doi: 10.1109/TCOMM.2023.3347568.
    [13]
    VORDONIS D, KOMPOSTIOTIS D, PALIOURAS V, et al. Evaluating beam aweeping for AoA estimation with an RIS prototype: Indoor/outdoor field trials[C]. 2025 IEEE Wireless Communications and Networking Conference, Milan, Italy, 2025. doi: 10.1109/WCNC61545.2025.10978277.
    [14]
    GAUTAM P R, ZHANG Li, and FAN Pingzhi. Passive precoding and power allocation for energy efficient reconfigurable intelligent surface enhanced millimeter wave MU-MISO[J]. IEEE Transactions on Vehicular Technology, 2026, 75(4): 5831–5845. doi: 10.1109/TVT.2025.3617379.
    [15]
    WIJEKOON D, MEZGHANI A, and HOSSAIN E. Joint communication and sensing in RIS-assisted MIMO system under mutual coupling[EB/OL]. https://arxiv.org/abs/2601.08142, 2026.
    [16]
    PEI Xilong, YIN Haifan, TAN Li, et al. RIS-aided wireless communications: Prototyping, adaptive beamforming, and indoor/outdoor field trials[J]. IEEE Transactions on Communications, 2021, 69(12): 8627–8640. doi: 10.1109/TCOMM.2021.3116151.
    [17]
    LI Dong. How many reflecting elements are needed for energy- and spectral-efficient intelligent reflecting surface-assisted communication[J]. IEEE Transactions on Communications, 2022, 70(2): 1320–1331. doi: 10.1109/TCOMM.2021.3128544.
    [18]
    LI Dong. Ergodic capacity of intelligent reflecting surface-assisted communication systems with phase errors[J]. IEEE Communications Letters, 2020, 24(8): 1646–1650. doi: 10.1109/LCOMM.2020.2997027.
    [19]
    SIMON M K and ALOUINI M S. Digital Communication Over Fading Channels[M]. 2nd ed. Hoboken, USA: Wiley, 2005.
    [20]
    YU Xianhua and LI Dong. Phase shift compression for control signaling reduction in IRS-aided wireless systems: Global attention and lightweight design[J]. IEEE Transactions on Wireless Communications, 2024, 23(8): 8528–8541. doi: 10.1109/TWC.2024.3351755.
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