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  1. No Access

    Article

    Performance analysis and design of semi-blind beamforming for downlink MIMO–NOMA heterogeneous network

    Non-orthogonal multiple access (NOMA) communication is a potential strategy for overcoming the limits of classic orthogonal multiple access schemes, and it can improve possible rates. In contrast, MIMO–NOMA im...

    Sadiq Ur Rehman, Jawwad Ahmad, Anwaar Manzar in Telecommunication Systems (2024)

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    Article

    Beamforming Techniques for MIMO-NOMA for 5G and Beyond 5G: Research Gaps and Future Directions

    Effective sharing of the communication channel among many users, or multiple access (MA) techniques, can play a vital role in meeting the diverse demands of low latency, high reliability, massive connectivity,...

    Sadiq Ur Rehman, Jawwad Ahmad, Anwaar Manzar in Circuits, Systems, and Signal Processing (2024)

  3. No Access

    Article

    A Weighted Gaussian Kernel Least Mean Square Algorithm

    In this work, a novel weighted kernel least mean square (WKLMS) algorithm is proposed by introducing a weighted Gaussian kernel. The learning behavior of the WKLMS algorithm is studied. Mean square error (MSE)...

    Muhammad Moinuddin, Azzedine Zerguine in Circuits, Systems, and Signal Processing (2023)

  4. No Access

    Article

    A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

    The Least Mean Square (LMS) algorithm has a slow convergence rate as it is dependent on the eigenvalue spread of the input correlation matrix. In this research, we solved this problem by introducing a novel ad...

    Alishba Sadiq, Imran Naseem, Shujaat Khan, Muhammad Moinuddin in Applied Intelligence (2023)

  5. No Access

    Article

    An efficient normalized LMS algorithm

    The task of adaptive estimation in the presence of random and highly nonlinear environment such as wireless channel estimation and identification of non-stationary system etc. has been always challenging. The ...

    Azzedine Zerguine, Jawwad Ahmad, Muhammad Moinuddin in Nonlinear Dynamics (2022)

  6. No Access

    Article

    Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links

    The quantum calculus provides an extra degree of freedom to search the local and global minima by inducing a q-parameter. Motivated by this fact, a quantum calculus-based noisy links incremental least mean square...

    Muhammad Arif, Saba Samreen Khan in Circuits, Systems, and Signal Processing (2022)

  7. No Access

    Article

    Diffusion Quantum-Least Mean Square Algorithm with Steady-State Analysis

    Diffusion least mean square (LMS) algorithm is a well-known algorithm for distributed estimation where estimation takes place at multiple nodes. However, it inherits slow convergence speed due to its gradient ...

    Muhammad Arif, Muhammad Moinuddin, Imran Naseem in Circuits, Systems, and Signal Processing (2022)

  8. No Access

    Article

    Comments on “Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization”

    The purpose of this note is to discuss some aspects of recently proposed fractional-order variants of complex least mean square (CLMS) and normalized least mean square (NLMS) algorithms in Shah et al. (Nonline...

    Shujaat Khan, Abdul Wahab, Imran Naseem, Muhammad Moinuddin in Nonlinear Dynamics (2020)

  9. No Access

    Article

    System reliability analysis of small-cell deployment in heterogeneous cellular networks

    This paper exhibits a primer on the use of modern system reliability techniques on several important topologies of small-cell deployment in multi-tier dense cellular networks. We synthesize a network into seve...

    Ali Muhammad Ali Rushdi, Ahmad Kamal Hassan in Telecommunication Systems (2020)

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    Article

    Improved Optimum Error Nonlinearities Using Cramer–Rao Bound Estimation

    In this paper, we propose an efficient design of optimum error nonlinearities (OENL) for adaptive filters which minimizes the steady-state excess mean square error and attains the limit mandated by the Cramer–...

    Muhammad Arif, Imran Naseem, Muhammad Moinuddin in Circuits, Systems, and Signal Processing (2019)

  11. No Access

    Article

    A State-Space Backpropagation Algorithm for Nonlinear Estimation

    The fact that the knowledge of system model enhances the performance of any estimation algorithm is well known. However, the existing state-space-based algorithms are either linear such as the Kalman Filter an...

    Hasan A. Bjaili, Muhammad Moinuddin in Circuits, Systems, and Signal Processing (2019)

  12. No Access

    Article

    Sum Ergodic Capacity Analysis Using Asymptotic Design of Massive MU-MIMO Systems

    This communication attempts to characterize the performance metrics of downlink Massive MU-MIMO systems impaired by cochannel interference and additive noise over a Rayleigh fading environment. We obtain close...

    Ahmad Kamal Hassan, Muhammad Moinuddin in Wireless Personal Communications (2018)

  13. No Access

    Article

    On the Kernel Optimization of Radial Basis Function Using Nelder Mead Simplex

    Artificial neural networks in general and radial basis function in particular are known for high accuracies in function approximation, nonlinear system identification, and pattern classification problems; howe...

    Ahmad Kamal Hassan, Muhammad Moinuddin in Arabian Journal for Science and Engineering (2018)

  14. No Access

    Article

    A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks

    In this research, we propose a novel algorithm for learning of the recurrent neural networks called as the fractional back-propagation through time (FBPTT). Considering the potential of the fractional calculus...

    Shujaat Khan, Jawwad Ahmad, Imran Naseem in Circuits, Systems, and Signal Processing (2018)

  15. No Access

    Article

    q-State Space Least Mean Family of Algorithms

    It is generally known that model-based estimation algorithms (such as Kalman filter and its family) perform better than the non-model-based algorithms [such as least mean square (LMS), recursive least squares]...

    Arif Ahmed, Muhammad Moinuddin in Circuits, Systems, and Signal Processing (2018)

  16. No Access

    Article

    Does a one-size-fits-all approach to financial regulations alleviate default risk? The case of dual banking systems

    Financial regulations are developed to curb financial and economic fragility costs without undermining the economic contributions of banks to economic development. To understand the impact financial regulation...

    Muhammad Suhail Rizwan, Muhammad Moinuddin in Journal of Regulatory Economics (2018)

  17. No Access

    Article

    Differences in photosynthetic syndromes of four halophytic marsh grasses in Pakistan

    Salt-tolerant grasses of warm sub-tropical ecosystems differ in their distribution patterns with respect to salinity and moisture regimes. Experiments were conducted on CO2 fixation and light harvesting processes...

    Muhammad Moinuddin, Salman Gulzar, Abdul Hameed, Bilquees Gul in Photosynthesis Research (2017)

  18. Article

    Open Access

    Multiple access interference in MIMO-CDMA systems under Rayleigh fading: statistical characterization and applications

    A major limiting factor in the performance of multiple-input-multiple-output (MIMO) code division multiple access (CDMA) systems is multiple access interference (MAI) which can reduce the system’s capacity and...

    Khalid Mahmood, Syed Muhammad Asad in EURASIP Journal on Advances in Signal Proc… (2016)

  19. No Access

    Article

    State Space Least Mean Fourth Algorithm for Dynamic State Estimation in Power Systems

    Power system dynamic state estimation (DSE) has always been a critical problem in studying power systems. One of the essential parts of power systems are synchronous machines. In this work, we dealt with the p...

    Arif Ahmed, Muhammad Moinuddin in Arabian Journal for Science and Engineering (2016)

  20. Article

    Open Access

    Family of state space least mean power of two-based algorithms

    In this work, a novel family of state space adaptive algorithms is introduced. The proposed family of algorithms is derived based on stochastic gradient approach with a generalized least mean cost function J[k]=E

    Muhammad Moinuddin, Ubaid M Al-Saggaf in EURASIP Journal on Advances in Signal Proc… (2015)

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