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    Optimum iterative water-filling algorithm for cognitive MIMO MAC by Fei WEI, Zhen YANG

    Published 2011-11-01
    “…The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.…”
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    Article
  3. 303

    Optimum iterative water-filling algorithm for cognitive MIMO MAC by Fei WEI, Zhen YANG

    Published 2011-11-01
    “…The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.…”
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    Article
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    Optimization of stamping workshop line layout based on improved PSO algorithm by Yaxuan Bi, Xin Ning, Shuai Zhao

    Published 2025-03-01
    Subjects: “…Improved particle swarm optimization algorithm…”
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    Article
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    Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm by Yuanhang Qi, Haoran Jiang, Gewen Huang, Liang Yang, Fujie Wang, Yunjian Xu

    Published 2025-04-01
    “…To tackle the MUAVPP-MEC, this study proposes an improved Bee Foraging Learning Particle Swarm Optimization algorithm (IBFLPSO), which integrates the bee-foraging algorithm into the particle swarm optimization framework. …”
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    The Application of Compound Control Algorithm in Photovoltaic System MPPT by WANG Shenghui, LI Yilun, ZHENG Hong, GAO Shan

    Published 2020-06-01
    “…Aiming at the problem that the output array exhibits multipeak characteristics when the PV array is partially shaded or unevenly illuminated, the traditional singlepeak MPPT algorithm is difficult to track the maximum power point A hybrid algorithm is proposed to improve the particle swarm combined with the sliding mode search Firstly, the probability judgment criterion of improved simulated annealing algorithm is introduced into the standard particle swarm optimization algorithm; the law of inertia weight change is improved; the disturbance parameter is added to the learning factor Secondly, using the sliding mode extreme value search algorithm, the suspected optimal value obtained by the particle swarm optimization algorithm is continuously optimized, and finally the maximum power point is found The simulation results show that the composite control algorithm can track the maximum power point quickly and accurately under different shadow conditions, and avoid the system falling into the local optimum value…”
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  16. 316

    Path Planning of Library Management Robot Based on PDO-ACO Algorithm by Na Lin

    Published 2025-01-01
    “…The method combines the negative feedback improved ant colony algorithm and particle difference optimization algorithm to enhance the accuracy, stability and environmental adaptability of path planning. …”
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    Self-adapted task allocation algorithm with complicated coalition in wireless sensor network by Wen-zhong GUO, Jin-shu SU, Cheng-yu CHEN, Guo-long CHEN

    Published 2014-03-01
    “…Considering the real-time requirement and some specific limitations (e.g.insufficient computing resource,energy constraint,etc) in task scheduling of wireless sensor networks,different priorities were assigned to tasks according to their deadline,and an adaptive task allocation algorithm with complicated coalition was designed through analyzing historical information.Moreover,a discrete particle swarm optimization algorithm was designed via employing binary matrix coding form.The proposed optimization algorithm generates coalitions in parallel and then performs subtask allocation algorithm based on load and energy balance.Finally,the experimental results show that the proposed algorithm strikes a good balance between local solution and global exploration,and achieves a satisfactory result within a short period of time.…”
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    Article
  20. 320

    Self-adapted task allocation algorithm with complicated coalition in wireless sensor network by Wen-zhong GUO, Jin-shu SU, Cheng-yu CHEN, Guo-long CHEN

    Published 2014-03-01
    “…Considering the real-time requirement and some specific limitations (e.g.insufficient computing resource,energy constraint,etc) in task scheduling of wireless sensor networks,different priorities were assigned to tasks according to their deadline,and an adaptive task allocation algorithm with complicated coalition was designed through analyzing historical information.Moreover,a discrete particle swarm optimization algorithm was designed via employing binary matrix coding form.The proposed optimization algorithm generates coalitions in parallel and then performs subtask allocation algorithm based on load and energy balance.Finally,the experimental results show that the proposed algorithm strikes a good balance between local solution and global exploration,and achieves a satisfactory result within a short period of time.…”
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    Article