Showing 201 - 220 results of 1,377 for search '((( resource OR resources) allocation algorithm ) OR ( (source OR sources) allocation algorithm ))*', query time: 0.29s Refine Results
  1. 201

    Energy-efficient optimal algorithm based on uplink multi-user very large MIMO system by UYing H, IBao-feng J, UANGYong-ming H, UFei Y, ANGLV-xi Y

    Published 2015-01-01
    “…Using the energy efficiency lower bound as the optimization criterion,a resource allocation algorithm was investigated under uplink multi-user very large MIMO systems.Specifically,both the number of antenna arrays at the BS and the transmit data rate at the user are adjusted to maximize the energy efficiency,in which the power consumption accounts for both transmit power and circuit power,meanwhile the BS uses a zero forcing(ZF) receiver.The existence of a unique globally optimal resource allocation solution was demonstrated by exploiting the properties of objective function.Furthermore,by transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming,an iterative resource allocation algorithm was developed to achieve the optimum was developed.Simulation results show that the algorithm converge to a near optimal solution only with a small number of iterations.…”
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  2. 202

    Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction by Lei Li, Xue Gao

    Published 2025-02-01
    “…However, the workload of an Internet service is not constant; therefore, the required cloud computing resources need to be allocated elastically to minimize the associated costs. …”
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  3. 203

    Unified Resource Allocation and Mobility Management Technique Using Particle Swarm Optimization for VLC Networks by Muhammet Selim Demir, Sadiq M. Sait, Murat Uysal

    Published 2018-01-01
    “…In this paper, we present a unified resource allocation and mobility management algorithm based on particle swarm optimization (PSO) for indoor visible light communication (VLC) networks. …”
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  4. 204

    Efficient dynamic task offloading and resource allocation in UAV-assisted MEC for large sport event by Chen Peng, Qiqi Wang, Desheng Zhang

    Published 2025-04-01
    “…To address this issue, we propose the efficient dynamic resource allocation (EDRA) algorithm. By employing stochastic optimization techniques, the original problem is decomposed into multiple sub-problems that can be solved in parallel. …”
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  5. 205

    MAARS: Multiagent Actor–Critic Approach for Resource Allocation and Network Slicing in Multiaccess Edge Computing by Ducsun Lim, Inwhee Joe

    Published 2024-12-01
    “…This paper presents a novel algorithm to address resource allocation and network-slicing challenges in multiaccess edge computing (MEC) networks. …”
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  6. 206

    Effective 3C Resource Utilization and Fair Allocation Strategy for Multi-Task Federated Learning by Chaofeng Zhang, Mianxiong Dong, Kaoru Ota

    Published 2023-01-01
    “…Next, a Federated Learning Long Short-Term Memory (LSTM) based Queuing Optimization and Allocation Policy Calculation Algorithm (FL-QAPC) is proposed for resource allocation policy calculation using multi-dimensional network state inputs with time series. …”
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  7. 207

    Jointly Optimizing Resource Allocation, User Scheduling, and Grouping in SBMA Networks: A PSO Approach by Jianjian Wu, Chanzi Liu, Xindi Wang, Chi-Tsun Cheng, Qingfeng Zhou

    Published 2025-06-01
    “…However, realizing SBMA’s full potential requires efficient joint resource allocation (RA), user scheduling (US), and user grouping (UG). …”
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  8. 208

    Resource Allocation in User-Centric Cell-Free Massive MIMO URLLC Systems With Network Slicing by Han Lu, Weiwei Xia, Weiwei Miao, Mingxuan Zhang, Feng Yan, Lianfeng Shen

    Published 2025-01-01
    “…The user-slice association problem is addressed using the simulated annealing algorithm. For the resource allocation problem, a successive rate lower bound maximization algorithm is employed to obtain the convex lower bound of the data rate under short packet transmission, and the successive convex approximation (SCA) method is used to determine the optimal bandwidth and frequency allocation. …”
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  9. 209

    Next generation network resource allocation method based on cooperative game and decision-making in advance by RAO Xiang, ZHANG Shun-yi, SUN Yan-fei, DING Wen-tao

    Published 2009-01-01
    “…It’s an important way to guarantee QoS for the next generation network(NGN) with diverse services by allo-cating resources reasonably and optimizing the efficiency of whole network according to diverse service styles.A net-work resource allocating method based on co-operative game theory for NGN was proposed and analyzed,and it had a weakness which brought about overgreat system costing.In order to overcome this weakness,an idea about deci-sion-making in advance was added,and an improved resource allocation algorithm was proposed,which could guarantee the efficiency of whole network best and reduce the system costing.Simulation results of this method show its validity.…”
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  10. 210

    Next generation network resource allocation method based on cooperative game and decision-making in advance by RAO Xiang, ZHANG Shun-yi, SUN Yan-fei, DING Wen-tao

    Published 2009-01-01
    “…It’s an important way to guarantee QoS for the next generation network(NGN) with diverse services by allo-cating resources reasonably and optimizing the efficiency of whole network according to diverse service styles.A net-work resource allocating method based on co-operative game theory for NGN was proposed and analyzed,and it had a weakness which brought about overgreat system costing.In order to overcome this weakness,an idea about deci-sion-making in advance was added,and an improved resource allocation algorithm was proposed,which could guarantee the efficiency of whole network best and reduce the system costing.Simulation results of this method show its validity.…”
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    Article
  11. 211

    Cross-layer scheduling and dynamic resource allocation for MIMO-OFDMA/SDMA systems with multi-service by ZHONG Chong-xian1, LI Chun-guo1, YANG Lv-xi1

    Published 2010-01-01
    “…Cross-layer scheduling and dynamic resource allocation problems were investigated for downlink MIMO-OFDMA/SDMA systems with multi-service.Firstly,a mathematical formulation of the optimization problem was provided with the objective of maximizing the total system throughput under various constraints.Secondly,a user group-ing scheme was proposed utilizing clustering analysis method based on the type of services and the spatial compatibility of multiple users with multiple receive antennas.Thirdly,a new cross-layer scheduling and dynamic resource allocation algorithm was developed based on the proposed user grouping scheme combined with the priorities of different service,which maximizes the total system throughput by maximizing the throughput of each subcarrier.Simulation results show that compared with the existing schemes,the proposed algorithms obtain reasonable throughput performance while provide better QoS requirement for each user of different services.…”
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  12. 212
  13. 213

    Game-based resource allocation in heterogeneous downlink CR-NOMA network without subchannel sharing by Deepa Das, Rajendra Kumar Khadanga, Deepak Kumar Rout, Md. Minarul Islam, Taha Selim Ustun

    Published 2025-01-01
    “…Our approach introduces a new SU clustering method based on fuzzy logic, paired with a hierarchical learning method inspired by the well-known UCB1 algorithm to allocate power effectively to these clusters. …”
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  14. 214

    Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multiple Flexible Resources by DENG Qianwen, LI Qi, QIU Yibin, LI Doumeng, HUO Shasha, CHEN Weirong

    Published 2025-07-01
    “…Under the “carbon peaking and carbon neutrality” strategy, the penetration ratio of renewable energy is increasing, while the lack of flexible resources becomes a growing challenge. To address this and build a safe, efficient, low-carbon, and clean energy system, an integrated energy system (IES) optimization allocation method is proposed considering the joint operation of multiple flexibility resources. …”
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  15. 215

    Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing by Huabing Yan, Hualong Huang, Zijia Zhao, Zhi Wang, Zitian Zhao

    Published 2025-07-01
    “…This paper presents a novel framework for optimizing multimodal large language model (MLLM) inference through task offloading and resource allocation in UAV-assisted satellite edge computing (SEC) networks. …”
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  16. 216

    Cooperative sensing, communication and computation resource allocation in mobile edge computing-enabled vehicular networks by Zhenyu Li, Yuchuan Fu, Mengqiu Tian, Changle Li

    Published 2024-07-01
    “…This could leave insufficient resources allocated to the sensing tasks, resulting in low sensing performance. …”
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  17. 217

    Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework by Nidhi Simmons, David E. Simmons, Michel Daoud Yacoub

    Published 2024-01-01
    “…Additionally, when applied to another ML-based resource allocation scheme (a modified greedy algorithm), our proposed loss function maintains its efficacy.…”
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  18. 218

    Efficient Resource Allocation for Blockchain-Enabled Mobile Edge Computing: A Joint Optimization Approach by Moein Valitabar, Mohammad Fathi, Keivan Navaie

    Published 2025-01-01
    “…This paper addresses the critical challenge of optimizing resource allocation for task offloading in blockchain-enabled mobile edge computing (MEC), aiming to minimize the total energy consumption within wireless networks equipped with edge servers (ESs). …”
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  19. 219
  20. 220

    A dual scheduling framework for task and resource allocation in clouds using deep reinforcement learning by Jiahui Pan, Yi Wei, Lei Meng, Xiangxu Meng

    Published 2025-06-01
    “…The QoS-aware task allocation scheduler and the workload-aware VM auto-scaling scheduler work together to achieve efficient task scheduling and elastic resource provisioning. …”
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