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All Journal Bulletin of Electrical Engineering and Informatics
Jamal Amadid
Higher Institute of Engineering and Business (ISGA)
Electrical & Electronics Engineering

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Uplink power control for multi-path channel estimation in massive multiple-input multiple-output systems Jamal Amadid; Asma Khabba; Zakaria El Ouadi; Lahcen Sellak; Abdelmouttalib Bousrout; Abdelouhab Zeroual; Tole Sutikno
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.10707

Abstract

Multi-path communication channels provide a realistic representation of transmitter-receiver communication in practical propagation environments. This work investigates uplink (UL) multi-path channel estimation (CE) in a massive multiple-input multiple-output (M-MIMO) multi-cell multi-user system, where each user communicates with its serving base station (BS) through a multi-path channel. The network operates using time-division duplex (TDD), exploiting channel reciprocity between the uplink and downlink. The impact of multi path propagation on CE is analyzed using two approaches: the ideal minimum mean square error (MMSE) estimator and a proposed simplified estimator. The MMSE estimator assumes prior knowledge of the large-scale fading (LSF) coefficients of interfering users, which is impractical in real systems. To overcome this limitation, a simplified estimator is proposed that does not require such information while achieving asymptotic performance close to that of the MMSE estimator. Realistic propagation scenarios are also considered, where channels may include either non-line-of-sight (NLoS) components or a combination of line-of-sight (LoS) and NLoS paths depending on the user’s distance from the BS. Furthermore, a heuristic power control strategy is introduced to mitigate pilot contamination, particularly for cell-edge users, thereby reducing inter-cell interference and improving overall system performance. Analytical and simulation results validate the proposed approach.
PAPR mitigation in GFDM using an efficient SLM technique based JAYA algorithm Karima Ait Bouslam; Jamal Amadid; Fatim-Zahra Bennioui; Asma Khabba; Radouane Iqdour; Abdelouhab Zeroual; Tole Sutikno
Bulletin of Electrical Engineering and Informatics Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i5.11718

Abstract

Significant research efforts have focused on selective mapping (SLM), a widely adopted technique for reducing the peak-to-average power ratio (PAPR) in multicarrier communication systems. Although integrating SLM with metaheuristic optimization algorithms can significantly improve PAPR reduction, it generally introduces additional computational complexity due to the optimization process. To address this limitation, this paper proposes an improved SLM scheme, referred to as JAYA-SLM, for generalized frequency division multiplexing (GFDM) systems. The proposed approach employs the JAYA algorithm as an efficient phase-factor optimizer within the SLM framework, aiming to achieve an effective trade-off between PAPR reduction and computational complexity. The performance of JAYA-SLM is evaluated through extensive simulations and compared with conventional SLM-based GFDM, as well as SLM schemes assisted by artificial bee colony (ABC), genetic algorithm (GA), and biogeography-based optimization (BBO). Three low-complexity SLM variants are also considered for comparison. Simulation results demonstrate that the proposed JAYA-SLM achieves an average PAPR reduction of approximately 42% with rapid convergence and substantially lower computational complexity than conventional metaheuristic-assisted SLM approaches. Moreover, it provides notable power savings while maintaining an acceptable bit error rate (BER). These results confirm the potential of JAYA-SLM as an efficient and low-complexity PAPR reduction technique for GFDM-based 5G communication systems.
Co-Authors Abdelmouttalib Bousrout Abdelouhab Zeroual Asma Khabba Asma Khabba Fatim-Zahra Bennioui Karima Ait Bouslam Lahcen Sellak Radouane Iqdour Tole Sutikno Zakaria El Ouadi