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241
Jointly Optimizing Resource Allocation, User Scheduling, and Grouping in SBMA Networks: A PSO Approach
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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242
Resource Allocation in User-Centric Cell-Free Massive MIMO URLLC Systems With Network Slicing
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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243
Next generation network resource allocation method based on cooperative game and decision-making in advance
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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244
Next generation network resource allocation method based on cooperative game and decision-making in advance
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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245
Cross-layer scheduling and dynamic resource allocation for MIMO-OFDMA/SDMA systems with multi-service
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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246
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247
Game-based resource allocation in heterogeneous downlink CR-NOMA network without subchannel sharing
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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248
Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multiple Flexible Resources
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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249
Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing
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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250
Cooperative sensing, communication and computation resource allocation in mobile edge computing-enabled vehicular networks
Published 2024-07-01“…This could leave insufficient resources allocated to the sensing tasks, resulting in low sensing performance. …”
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251
Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework
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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252
Efficient Resource Allocation for Blockchain-Enabled Mobile Edge Computing: A Joint Optimization Approach
Published 2025-01-01“…The solution assigns mobile terminals (MTs) to ESs and optimally allocates computational resources at ESs for both task computation and block generation. …”
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253
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A dual scheduling framework for task and resource allocation in clouds using deep reinforcement learning
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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255
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256
Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants
Published 2025-01-01“…As the proportion of new energy in VPPs continues to rise, the impacts of the uncertainty of internal new energy output and load have become increasingly significant, and the demand for flexible resources has also become more urgent. To address the challenges of system operation optimization and resource allocation caused by the integration of a large amount of renewable energy on the supply side of the energy system into VPPs and the flexible and changeable load on the demand side, this paper proposes a distributed robust optimization method that simultaneously considers the uncertainties of both the source and the load. …”
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257
Q-LME: Q-learning-based local mutual exclusion algorithm for flying ad hoc networks
Published 2025-07-01“…However, resource allocation and token management in FANETs remain unexplored. …”
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258
Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks
Published 2024-01-01“…To address these challenges, this paper proposes a novel power-allocation framework that integrates an EH-capable source node, a relay, and multiple power-domain NOMA-based users. …”
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259
An Automatic Tagging System Focused on Digital Resources
Published 2020-06-01“…In this paper, we proposed a novel automatic tagging system which aimed at the lack of tags about digital resources and the difficulty of extending tags This tagging system can effectively extend tags for public cultural resources we collected and other public data sets The algorithm of tagging system based on neural network and generative learning We use Latent Dirichlet Allocation (LDA) and Word2Vec to process resources and initial tags, generating the representation vectors of resources and initial tags, then use these two kinds of vector to build this automatic tagging system focused on digital resources From the results, the Precision, MRR, MAP and other indexes of this method is better than other comparison tagging methods mentioned in this paper, and it can solve the lack of tags in some cases Increasing utilization of resources…”
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260
A survey on AI algorithms applied in communication and computation in Internet of vehicles
Published 2023-01-01Subjects: “…communication resource allocation;communication security;computation offloading;communication-computation integration;AI algorithm;deep reinforcement learning…”
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