Search alternatives:
resourcess » resource (Expand Search)
Showing 161 - 180 results of 1,377 for search '((( resources OR resourcess) allocation algorithm ) OR ( sources allocation algorithm ))*', query time: 0.20s Refine Results
  1. 161

    Secure resource allocation in hybrid energy-harvesting relay and full-duplex receiver by Wei WANG, Xinrui LI, Liuguo YIN, Guoan ZHANG, Shibing ZHANG

    Published 2019-01-01
    “…Taking into account the wireless physical layer security in energy-constrained relaying systems,a secure resource allocation scheme was proposed under simultaneous wireless information and power transfer (SWIPT) protocol.The utility optimization problem was considered aiming to maximize the secrecy rate by jointly optimizing the power splitting (PS) ratio and the transmit powers under the constraint of the transmit powers of the nodes and the harvested energy of the relay.The objective problem,which is non-convex,was decoupled into two subproblems.One was to optimize the PS ratio,another was to optimize the transmit powers.The optimal solution of the subproblems can be obtained in the closed-form.Then,the suboptimal solution is obtained with the proposed convergent iterative algorithm.Simulation results show the effects of artificial noise signal,residual self-interference signal,transmit power of nodes,amplification factor of relay and other factors on the security performance.Compared with the traditional gradient descent algorithm,the proposed algorithm can reduce more than 80% of the computational load,while the algorithm has the slightly better performance.…”
    Get full text
    Article
  2. 162

    A Dual-Agent Approach for Coordinated Task Offloading and Resource Allocation in MEC by Jiadong Dong, Kai Pan, Chunxiang Zheng, Lin Chen, Shunfeng Wu, Xiaolin Zhang

    Published 2023-01-01
    “…The proposed algorithm coordinates task offloading scheduling and resource allocation for two intelligent agents. …”
    Get full text
    Article
  3. 163
  4. 164

    Joint Resource Allocation for V2X Sensing and Communication Based on MADDPG by Zhiyong Zhong, Zhangyou Peng

    Published 2025-01-01
    “…In addition, a reward function is designed based on the characteristics of the scenario. The power allocation is used as a continuous action space, and we employ the MultiAgent Deep Deterministic Policy Gradient (MADDPG) algorithm to solve this optimization problem to address the challenge of dynamic resource allocation. …”
    Get full text
    Article
  5. 165

    Research on Resource Allocation of Satellite Internet Service Function Based on SDN/NFV by Meilin XU, Min JIA, Qing GUO

    Published 2022-03-01
    “…Software-defined networks and network function virtualization can effectively solve the problems of difficult management and control of large-scale networks and diffi culties in resource scheduling.Applying the software-defi ned network architecture model and network function virtualization technologies to the large-scale satellite internet can eff ectively solve some problems.This paper proposed a new SDN/NFV-based new satellite internet architecture, different satellite domains could be responsibled for different functions, inter-satellite and inter-domain could used SDN and NVF for eff ective collaboration, effi cient used of network resources, research and optimization of its service function resource allocation technology after VNF deployment, a simulated annealing algorithm based on resource awareness was proposed.Simulation results showed that this algorithm could effectively reduced the end-to-end delay and bandwidth consumption of SFC data fl ow during transmission, and could provided users with better services.…”
    Get full text
    Article
  6. 166

    Multi-satellite cooperative beam hopping resource allocation based on interference perception by Jinlong HU, Jihong LIU, Yiqing ZHOU, Huan CAO, Zifan LIU, Jiawei ZHAO, Jinhong YUAN

    Published 2023-08-01
    “…Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite, however, the actual LEO system is covered by multiple satellites in multiple orbits, and existing research ignores beam interference between satellites, which can easily lead to a decrease in system throughput and service quality.To address these issues, this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH), aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite, the BSS of the MSIC-SAA algorithm has been improved by 47.24%, the average signal to interference noise ratio (SINR) has been improved by 27.40%, and the system throughput has been improved by 22.92%.…”
    Get full text
    Article
  7. 167

    Resource Allocation and Interference Coordination Strategies in Heterogeneous Dual-Layer Satellite Networks by Jinhong Li, Rong Chai, Tianyi Zhou, Chengchao Liang

    Published 2025-02-01
    “…We formulate a mathematical optimization problem to optimize resource allocation while minimizing co-channel interference and develop an ADMM-based distributed algorithm for efficient problem-solving. …”
    Get full text
    Article
  8. 168

    Computation Offloading and Resource Allocation for Energy-Harvested MEC in an Ultra-Dense Network by Dedi Triyanto, I Wayan Mustika, Widyawan

    Published 2025-03-01
    “…To address the challenge of efficient task implementation in resource-limited environments, this work strengthens system performance through resource allocation based on fairness and energy efficiency. …”
    Get full text
    Article
  9. 169

    QoS-Based Resource Allocation in Multicarrier NOMA-IBFD Cellular System With Sectorization by Ananda Kumar Karem, A. Krishna Chaitanya, Satya Kumar Vankayala, Seungil Yoon, Ganesh Chandrasekaran, Karthik Muralidhar

    Published 2024-01-01
    “…Subsequently, we extend our investigation at sector level to obtain a comprehensive understanding of network dynamics within a more confined coverage area. We use orthogonal resource allocation and half duplex scenarios as benchmarks to evaluate the performance of proposed algorithm. …”
    Get full text
    Article
  10. 170
  11. 171
  12. 172

    Deep and robust resource allocation for random access network based with imperfect CSI by Weihua WU, Guanhua CHAI, Qinghai YANG, Runzi LIU

    Published 2020-07-01
    “…A deep and robust resource allocation framework was proposed for the random access based wireless networks,where both the communication channel state information (C-CSI) and the interference channel state information (I-CSI) were uncertain.The proposed resource allocation framework considered the optimization objective of wireless networks as a learning problem and employs deep neural network (DNN) to approximate optimal resource allocation policy through unsupervised manner.By modeling the uncertainties of CSI as ellipsoid sets,two concatenated DNN units were proposed,where the first was uncertain CSI processing unit and the second was the power control unit.Then,an alternating iterative training algorithm was developed to jointly train the two concatenated DNN units.Finally,the simulations verify the effectiveness of the proposed robust leaning approach over the nonrobust one.…”
    Get full text
    Article
  13. 173
  14. 174

    LEO satellite Internet resource allocation strategy based on terminal traffic prediction by SHEN Fei, LYU Chengcheng, ZHANG Jiaxuan, RUAN Xiaoting

    Published 2024-07-01
    “…A resource allocation strategy for the low earth orbit (LEO) satellite Internet based on terminal traffic prediction was proposed to address the problems of blind coverage spots in ground network and the low resource utilization of satellite network. …”
    Get full text
    Article
  15. 175

    A Computational Offloading Method for Edge Server Computing and Resource Allocation Management by Muna Al-Razgan, Taha Alfakih, Mohammad Mehedi Hassan

    Published 2021-01-01
    “…Furthermore, we propose availability of a virtual machine resource algorithm (AVM) based on the availability of VM in edge cloud servers for efficient resource allocation and task scheduling. …”
    Get full text
    Article
  16. 176

    Jumping knowledge graph attention network for resource allocation in wireless cellular system by Qiushi Sun, Zhou Fang, Yin Li, Ovanes Petrosian

    Published 2025-05-01
    “…The realization of these features hinges on the development of rational resource allocation strategies to optimize the utilization of radio resources. …”
    Get full text
    Article
  17. 177

    Power Grid Clock Synchronization Optimization Based on Stackelberg Game Theory by Jiahao Li, Yitao Zhao, Yiming Zhang, Zhiyu Xia, Chuanxu Chen, Quansheng Guan

    Published 2025-04-01
    “…Finally, the simulation results are given in MATLAB to prove that the proposed method can converge quickly and dynamically adjust allocation according to user demand. Furthermore, the network simulator Mininet and the open-source software-defined network framework Ryu are used to evaluate the performance of the proposed method. …”
    Get full text
    Article
  18. 178
  19. 179

    Intelligent resource allocation in internet of things using random forest and clustering techniques by Nahideh Derakhshanfard, Lida Hosseinzadeh, Fahimeh Rashid Jafari, Ali Ghaffari

    Published 2025-08-01
    “…The intrinsic constraints of IoT devices, such as energy consumption, limited bandwidth, and reduced computational power, have increased the demand for more intelligent and efficient resource allocation strategies. Numerous current resource allocation methods, such as evolutionary algorithms and multi-agent reinforcement learning, are grossly inefficient at adapting well to IoT networks in light of dynamic and rapid changes due to the inherent computational complexity and high cost. …”
    Get full text
    Article
  20. 180