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Joint Optimization of Handover Control and Power Allocation Based on Multi-Agent Deep Reinforcement Learning

IEEE Transactions on Vehicular Technology, 2020
In this paper, we study the handover (HO), and power allocation problem in a two-tier heterogeneous network (HetNet), which consists of a macro base station, and some millimeter-wave (mmWave) small base stations.
Delin Guo   +3 more
semanticscholar   +1 more source

The Power of Dynamic Asset Allocation

The Journal of Portfolio Management, 2014
This article re-assesses the evidence and practical relevance of asset returns’ long-horizon predictability, investigating whether practitioners can profitably exploit predictability patterns by using relatively simple, dynamic asset allocation strategies.
M. Cardinale, NAVONE, MARCO, A. Pioch
openaire   +2 more sources

Collaborative detection and power allocation framework for target tracking in multiple radar system

Information Fusion, 2020
In reality, multiple radar system (MRS) may have some limited resource, such as the data computation capacity of the fusion center and the transmit energy of each radar.
Junkun Yan   +4 more
semanticscholar   +1 more source

AI Based Power Allocation for NOMA

Wireless Personal Communications, 2022
Novel methods using artificial intelligence for downlink power allocation problem in non-orthogonal multiple access networks are presented. The proposed machine learning and deep learning based methods achieved performance close to the optimum in terms of sum capacity with significantly lower computational costs. The numerical results also demonstrated
Talgat Manglayev   +4 more
openaire   +1 more source

Joint Power Allocation and 3D Deployment for UAV-BSs: A Game Theory Based Deep Reinforcement Learning Approach

IEEE Transactions on Wireless Communications
Ultra-dense unmanned aerial vehicle (UAV) plays an important role in the field of communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial vehicle base station (UAV-BS) can improve communication quality by providing ...
Shu Fu   +3 more
semanticscholar   +1 more source

Optimal Power Allocation for Full-Duplex Underwater Relay Networks With Energy Harvesting: A Reinforcement Learning Approach

IEEE Wireless Communications Letters, 2020
In this letter, we study the optimal power allocation problem where the goal is to maximize the long-term end-to-end sum rate of an underwater full-duplex energy harvesting relay network.
Ranning Wang   +5 more
semanticscholar   +1 more source

Generative Adversarial Network Assisted Power Allocation for Cooperative Cognitive Covert Communication System

IEEE Communications Letters, 2020
This letter investigates a power allocation problem for a cooperative cognitive covert communication system, where the relay secondary transmitter (ST) covertly transmits private information under the supervision of the primary transmitter (PT).
Xiaomin Liao   +4 more
semanticscholar   +1 more source

Partial Offloading Scheduling and Power Allocation for Mobile Edge Computing Systems

IEEE Internet of Things Journal, 2019
Mobile edge computing (MEC) is a promising technique to enhance computation capacity at the edge of mobile networks. The joint problem of partial offloading decision, offloading scheduling, and resource allocation for MEC systems is a challenging issue ...
Zhufang Kuang   +4 more
semanticscholar   +1 more source

Adaptive subcarrier allocation, power control, and power allocation for multiuser FDD-DMT systems

2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577), 2004
This paper considers the problem of adaptive subcarrier allocation, power control, and power allocation for multiuser frequency division duplex-discrete multitone (FDD-DMT) systems in a Gaussian interference channel. Assuming perfect knowledge of all channel and crosstalk transfer functions, we formulate the problem as an optimization problem to ...
Driton Statovci, Tomas Nordström
openaire   +1 more source

Adaptive power allocation using artificial potential field with compensator for hybrid energy storage systems in electric vehicles

, 2020
This paper proposes an adaptive power allocation strategy using artificial potential field with a compensator for hybrid energy storage systems in electric vehicles.
Yue Wu   +8 more
semanticscholar   +1 more source

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