Low-Complexity FNN-Based Transmit Antenna Selection for Enhanced Performance in VASM Systems over Rician Fading Channels
Abstract
Variable Active Antenna Spatial Modulation (VASM) is a spatial modulation variant designed to improve
spectral efficiency and offer greater flexibility in system configuration. In this paper, we propose a feedforward neural network (FNN) framework to address the transmit antenna selection (TAS) problem, aiming to enhance performance in VASM systems operating over Rician fading channels. Computational results demonstrate that our novel FNN-TAS algorithm provides a significant reduction in computational costs compared to the standard Euclidean distance-based method. Additionally, simulation results indicate that the bit error rate (BER) of the VASM system increases with the Rician factor. However, the proposed FNN-TAS method effectively improves BER performance for VASM systems, particularly at high Rician factors, and outperforms conventional TAS methods based on channel gain.
References
M. N. A. Siddiky, M. E. Rahman, M. S. Uzzal, and H. M. D. Kabir, “A comprehensive exploration of 6G wireless communication technologies,” Computers, vol. 14, no. 1, Jan. 2025.
Z. Wang, J. Zhang, H. Du, D. Niyato, S. Cui, B. Ai, M. Debbah, K. B. Letaief, and H. V. Poor, “A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,” IEEE Communications Surveys and Tutorials, vol. 26, no. 3, pp. 1560–1605, Jan. 2024.
R. Y. Mesleh, H. Haas, S. Sinanovic, C. W. Ahn, and S. Yun, “Spatial modulation,” IEEE Transactions on Vehicular Technology, vol. 57, no. 4, pp. 2228–2241, Jul. 2008.
M. Wen, B. Zheng, K. J. Kim, M. Di Renzo, T. A. Tsiftsis, K.-C. Chen, and N. Al-Dhahir, “A survey on spatial modulation in emerging wireless systems: Research progresses and applications,” IEEE Journal on Selected Areas in Communications, vol. 37, no. 9, pp. 1949–1972, Sep. 2019.
A. Younis, N. Serafimovski, R. Mesleh, and H. Haas, “Generalised spatial modulation,” in 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, Apr. 2010, pp. 1498–1502.
R. Mesleh, S. S. Ikki, and H. M. Aggoune, “Quadrature spatial modulation,” IEEE Transactions on Vehicular Technology, vol. 64, no. 6, pp. 2738–2742, Jun. 2015.
O. Osman, “Variable active antenna spatial modulation,” IET Microwaves, Antennas and Propagation, vol. 9, Oct. 2015.
Y. Li, X. Lei, Y. Xiao, X. Zhou, and H. Niu, “Variable active pre-coding aided spatial modulation,” in 2019 IEEE 19th International Conference on Communication Technology (ICCT). IEEE, Otc. 2019, pp. 670–673. HC-TAS (Ns=4) HC-TAS (Ns=5)
S. Gadhai and R. Budhiraja, “Joint-mapping-based variable active antenna spatial modulation,” IEEE Wireless Communications Letters, vol. 9, no. 10, pp. 1668–1672, Oct. 2020. HC-TAS (Ns=6) FNN-TAS (Corr) FNN-TAS (R&I) FNN-TAS (Phase) FNN-TAS (Mag) FNN-TAS (Norm)
T. V. Vinh, P. T. Hiep, and N. T. Phuong, “Combined variable active antenna spatial modulation and NOMA to enhance spectral efficiency for multiple users MIMO systems,” in 2022 International Conference on Advanced Technologies for Communications (ATC), Nov. 2022, pp. 29–34.
F. Zhu, H. Hai, Y. Peng, J. Hou, and X.-Q. Jiang, “Extended variable active antenna generalized spatial modulation,” IEEE Wireless Communications Letters, vol. 13, no. 2, pp. 265–269, Feb. 2024.
J. Zheng, J. Zhang, H. Du, D. Niyato, B. Ai, M. Debbah, and K. B. Letaief, “Mobile cell-free massive MIMO: Challenges, solutions, and future directions,” IEEE Wireless Communications, Feb. 2024.
R. Rajashekar, K. Hari, and L. Hanzo, “Antenna selection in spatial modulation systems,” IEEE Communications Letters, vol. 17, no. 3, pp. 521–524, Jan. 2013. 52 Vol. 2025, No. 1, March
P. Yang, Y. Xiao, Y. L. Guan, S. Li, and L. Hanzo, “Transmit antenna selection for multiple-input multiple-output spatial modulation systems,” IEEE Transactions on Communications, vol. 64, no. 5, pp. 2035–2048, Mar. 2016.
R. Zhu, H. Chen, Y. Xiao, X. Ji, W. Tang, and Y. Zhao, “Reduced-complexity transmit antenna selection for spatial modulation,” in 2020 IEEE 20th International Conference on Communication Technology (ICCT), Oct. 2020, pp. 888 892.
G. Altın, “A novel and low-complexity algorithm of EDAS for spatial modulation systems,” IEEE Communications Letters, vol. 24, no. 12, pp. 2922–2925, Aug. 2020.
T. V. Vinh, A. H. Phan, N. T. Thanh, and N. T. Phuong, “Proposal of a hierarchical combination of CG-TAS and
ED-TAS to improve BER performance at low complexity for VASM systems,” in 2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS). IEEE, Jan. 2024, pp. 448–453.
T. V. Vinh, N. H. Minh, P. T. Hiep, and N. T. Phuong, “Transmit antenna selection for multi-user VASM systems: Simplicity and fairness,” AEU-International Journal of Electronics and Communications, vol. 170, p. 154842, Oct. 2023.
K. X. Thuc, T. V. Vinh, P. L. Nguyen, T. Van Luyen, H. M. Kha, and N. T. Phuong, “Investigation of transmit antenna selection for MU-VASM systems over correlated channels,” in International Conference on Ad Hoc Networks. Springer, Mar. 2024, pp. 112–124.
W. C. Jakes and D. C. Cox, Microwave mobile communications. Wiley-IEEE press, 1994.
M. Xie, X. Yu, J. Chen, and T. Teng, “BER performance of unmanned aerial vehicle assisted spatial modulation system in Rician channels,” Physical Communication, vol. 49, p. 101471, Dec. 2021.
A. Kabil, A. Bendary, A. F. Darwesh, and H. Dahshan, “Spatial index modulation in fading channels: A fair comparison approach,” in 2024 14th International Conference on Electrical Engineering (ICEENG), Jun. 2024, pp. 300–304.
S. Shrestha, S. Naser, L. Bariah, S. Muhaidat, P. C. Sofota sios, H. Elgala, and E. Damiani, “Autoencoder-based spatial modulation for the next generation of wireless networks,” IEEE Internet of Things Journal, vol. 11, no. 22, pp. 36322 36334, Nov. 2024.
Y. Zhang, J. Wang, X. Wang, Y. Xue, and J. Song, “Efficient selection on spatial modulation antennas: Learning or boosting,” IEEE Wireless Communications Letters, vol. 9, no. 8, pp. 1249–1252, Apr. 2020.
A. Mohamed, Z. Bai, F.-P. Oloruntomilayo, K. Pang, Y. Yang, D. Zhou, and K. S. Kwak, “Low complexity deep
neural network based transmit antenna selection and signal detection in SM-MIMO system,” Digital Signal Processing, vol. 130, p. 103708, Sep. 2022.
G. Altın and ˙ I. A. Arslan, “Joint transmit and receive antenna selection for spatial modulation systems using deeplearning,” IEEE Communications Letters, vol. 26, no. 9, pp. 2077–2080, Jun. 2022.
H. K. Jadhav and V. B. Kumaravelu, “Deep learning-assisted transmit antenna classifiers for fully generalized spatial modulation: Online efficiency replaces offline complexity,” Applied Sciences, vol. 13, no. 8, p. 5134, Apr. 2023.
F. Zhu, H. Hai, and X.-Q. Jiang, “Efficient antenna selection for adaptive enhanced spatial modulation: A deep neural network approach,” IEEE Communications Letters, vol. 27, no. 5, pp. 1352–1356, May. 2023.
H. Zhang and N. Yang, Deep Learning in Wireless Communications. Springer, 2025.
A. Bhowal and R. S. Kshetrimayum, Advanced spatial modulation systems. Springer, 2021.
