Intelligent resource allocation
Nettet14. aug. 2024 · This article investigates the downlink communications of intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) systems. To … NettetGrained Management in 5G: DQN Based Intelligent Resource Allocation for Network Function Virtualization in C-RAN,” authored by Zhang, Dong, and Ota, introduced a DQL (Deep Q-learning Network) based intelligent resource management method to improve the quality-of-service (QoS) under limited network resources. The simulation shows …
Intelligent resource allocation
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NettetIntelligent Resource Allocation for Video Analytics in Blockchain-Enabled Internet of Autonomous Vehicles With Edge Computing. Abstract: Video surveillance in intelligent … Nettet18. nov. 2024 · An Intelligent Resource Allocation Strategy for 5G Vehicular Networks November 2024 DOI: 10.1109/AUTEEE56487.2024.9994525 Conference: 2024 IEEE 5th International Conference on Automation,...
Nettet25. jan. 2024 · The RLA algorithm is a resource allocation reinforced learning method, while the CMA algorithm is a resource optimization algorithm in the cognitive radio … NettetIn MDP, the IRS-enhanced spectrum sharing secure communication system with OFDM is considered as an environment, and the central controller of BS is considered as an intelligent agent. Apart from environment and agent, the MDP problem also consists of state, action, reward and transition probability.
NettetIn [28], a DRL based neural network and a deep-unfolding neural network were applied to optimize the beam selection and digital precoding matrices in the millimeter … Nettet28. sep. 2024 · In this paper, we show how a resource allocation problem can be solved through Integer Linear Programming (ILP). A detailed illustrative example is presented, …
Nettet22. mar. 2024 · In the intelligent edge resource allocation system model, it could be applied on HAPSs, satellites, ground base stations, etc. Secondly, we utilize …
NettetAbstract: In this paper, we study the resource allocation problem for an intelligent reflecting surface (IRS)-assisted OFDM system. The system sum rate maximization framework is formulated by jointly optimizing subcarrier allocation, base station transmit beamforming and IRS phase shift. pullman 65Nettet23. mar. 2024 · This paper studies an intelligent reflecting surface (IRS)-assisted wireless-powered communication network (WPCN), where a hybrid access point (HAP) broadcasts energy signals to multiple devices for their energy harvesting in the downlink (DL) and then the devices use the harvested energy to transmit information signals to … pullman 65 postiNettetOptimizing resource allocation can be incredibly challenging when you consider the number of moving parts required across multiple large-scale client engagements. An intelligent resource management software solution can help your firm to overcome these complexities and allocate your resources strategically. pullman 66Nettet25. okt. 2024 · It guarantees the efficient allocation of virtual machines on physical machines with multiple NUMA (nonuniform memory access) domains by minimizing contention between workloads. We prove that our solutions for data placement and virtual machine allocation outperform other state-of-the-art approaches. Keywords: pullman 68 torinoNettetThis paper investigates the joint design of user association and resource allocation algorithm for multiple intelligent reflecting surfaces (IRSs) aided downlink communication systems, where a base station serves a group of ultra-reliable low-latency communication (URLLC) users. We employ IRSs to enhance the communication channel and increase … pullman 66 milanoNettet25. apr. 2024 · Intelligent resource allocation in mobile blockchain for privacy and security transactions: a deep reinforcement learning based approach Zhaolong Ning, … pullman 65 passianoNettet20. feb. 2024 · The intelligent task offloading method based on Deep Q-network that can optimize computation capability of the multi-edge computing environments and gets a better performance in terms of the end-to-end latency of the offloaded task than the existing methods. Recently, various applications using artificial intelligence (AI) are … pullman 68 orari