Improving the Spectral Efficiency of Multiuser Multiple Antenna Millimeter Wave System Using Enhanced Kalman-Based Hybrid Precoder
Article Sidebar
Page Numbers:
139-149
Digital Object Identifier:
10.58578/ajstea.v4i2.8765
Viewed: 92 times
Downloaded: 65 times
LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers
Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.
Authors:
Chioma Odochi Uneze1*, C. B. Mbachu2, Chidiebere N. Muoghalu3 
Copyright :
Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
Multipath fading remains a critical challenge in wireless communication systems, necessitating precoding schemes that are both flexible and robust under realistic transmission conditions. This study evaluated the performance of an enhanced Kalman-based hybrid digital precoding algorithm in a multipath environment with 10 paths and compared it with zero forcing (ZF), minimum mean square error (MMSE), and conventional Kalman hybrid digital precoding schemes reported in the literature. Using simulation-based analysis under varying numbers of base station (BS) antennas, the study assessed spectral efficiency as the primary performance indicator. The results showed that, at 64 BS antennas, the enhanced Kalman scheme outperformed ZF, MMSE, and Kalman precoding by 1.9711 bps/Hz, 1.7155 bps/Hz, and 1.11 bps/Hz, respectively. At 81 BS antennas, the corresponding performance gains were 1.7453 bps/Hz over ZF, 1.5344 bps/Hz over MMSE, and 0.9385 bps/Hz over Kalman. Similarly, at 256 BS antennas, the enhanced scheme achieved superior spectral efficiency by 1.4116 bps/Hz over ZF, 1.3324 bps/Hz over MMSE, and 0.9301 bps/Hz over Kalman. Overall, the findings demonstrate that the enhanced Kalman-based hybrid digital precoding algorithm consistently provides the highest spectral efficiency under identical multipath conditions, indicating improved data transmission performance over multipath communication channels. This study therefore contributes practical evidence for the application of enhanced Kalman-based precoding in wireless digital communication systems, with implications for achieving faster and more adaptable data transfer in realistic multipath environments.
Citation Metrics:
Downloads
Article Details
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
Ali, K. S., Khan, A. A., T, P., Ur Rehman, A., & Ouahada, K. (2023). Learned-SBL-GAMP based hybrid precoders/combiners in millimeter wave massive MIMO systems. PLOS ONE, 18(9), e0289868. https://doi.org/10.1371/journal.pone.0289868
Borges, D., Montezuma, P., Dinis, R., & Beko, M. (2021). Massive MIMO techniques for 5G and beyond—Opportunities and challenges. Electronics, 10(14), Article 1667. https://doi.org/10.3390/electronics10141667
Han, S., I, C. L., Xu, Z., & Rowell, C. (2015). Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G. IEEE Communications Magazine, 53(1), 186–194. https://doi.org/10.1109/MCOM.2015.7010533
Hussein, M. K., & Khamiss, N. N. (2020a). Integrating millimeter wave with hybrid precoding multiuser massive MIMO for 5G communication. TELKOMNIKA (Telecommunication Computing Electronics and Control), 18(1), 90–98. https://doi.org/10.12928/TELKOMNIKA.v18i1.13674
Hussein, M. K., & Khamiss, N. N. (2020b). Multi-user massive MIMO systems based on hybrid analog-digital beamforming for millimeter-wave communications. International Journal of Intelligent Engineering and Systems, 13(5), 408–415. https://doi.org/10.22266/ijies2020.1031.36
Khwandah, S. A., Cosmas, J. P., Lazaridis, P. I., Zaharis, Z. D., & Chochliouros, I. P. (2021). Massive MIMO systems for 5G communications. Wireless Personal Communications, 120(3), 2101–2115. https://doi.org/10.1007/s11277-021-08550-9
Lin, Z., Du, X., Chen, H. H., Ai, B., Chen, Z., & Wu, D. (2019). Millimeter-wave propagation modeling and measurements for 5G mobile networks. IEEE Wireless Communications, 26(1), 72–77. https://doi.org/10.1109/MWC.2019.1800035
Muoghalu, C. N., Ekengwu, B. O., Asiegbu, N. C., & Eke-Nnodi, C. O. (2021). Bit-to-error rate performance analysis of massive multiple-antenna downlink system. Journal of Scientific and Engineering Research, 8(9), 44–51. https://doi.org/10.5281/zenodo.10614528
Muoghalu, C. N., Ekengwu, B. O., Asiegbu, N. C., Udechikwu, F. C., & Olisa, S. C. (2021). Analysis of massive multiple antenna system capacity based on channel state information performance. International Journal of Progressive Sciences and Technologies, 28(2), 130–138. https://doi.org/10.52155/ijpsat.v28.2.3476
Muoghalu, C. N., Mbachu, C. B., & Nwabueze, C. A. (2021). Achieving near optimal sum rate in downlink massive multiple-antenna system. International Journal of Progressive Sciences and Technologies, 28(2), 112–129. https://doi.org/10.52155/ijpsat.v28.2.3460
Vizziello, A., Savazzi, P., & Chowdhury, K. R. (2018). A Kalman based hybrid precoding for multi-user millimeter wave MIMO systems. IEEE Access, 6, 55712–55722. https://doi.org/10.1109/ACCESS.2018.2872738