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Evolutionary Games for Multiple Access Control
[article]
2011
arXiv
pre-print
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We then focus on evolutionary games for hybrid additive white Gaussian noise multiple access channel with multiple users and multiple receivers, where each user chooses a rate and splits it over the receivers ...
Building upon the static game, we formulate a system of hybrid evolutionary game dynamics using G-function dynamics and Smith dynamics on rate control and channel selection, respectively. ...
Based on the single-receiver model, we then propose an evolutionary game-theoretic framework for the hybrid additive white Gaussian noise multiple access channel. ...
arXiv:1103.2496v1
fatcat:icpb5poykrcezmuzx4zjqxrzua
Learning based mechanisms for interference mitigation in self-organized femtocell networks
2010
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
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We introduce two mechanisms for interference mitigation, inspired by evolutionary game theory and machine learning to support the coexistence of a macrocell network underlaid with self-organized femtocell ...
We formulate the interactions among selfish femtocells using evolutionary games and demonstrate how the system converges to an equilibrium. ...
ACKNOWLEDGEMENTS The authors would like to thank the Finnish funding agency for technology and innovation, Elektrobit, Nokia and Nokia Siemens Networks for supporting this work. ...
doi:10.1109/acssc.2010.5757866
fatcat:hlfjmfqdnzbdzpnkucq3fi47rq
A Constrained Evolutionary Gaussian Multiple Access Channel Game
[article]
2011
arXiv
pre-print
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In this paper, we formulate an evolutionary multiple access channel game with continuous-variable actions and coupled rate constraints. ...
We examine the long-run behavior of these strategies under several classes of evolutionary game dynamics such as Brown-von Neumann-Nash dynamics, and replicator dynamics. ...
We present in the next section the evolutionary game model of rate allocation in additive white Gaussian multiple access wireless networks, and analyze its equilibria and Pareto optimality. ...
arXiv:1103.2493v1
fatcat:otdqxhxwefdyvcwg3rbdnm7axe
Evolutionary Reinforcement Learning: A Survey
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2303.04150v2 fatcat:4yz7pwcbofcqfkwh7rh2hicj34Other Versions
The integration of RL with deep learning has recently resulted in impressive achievements in a wide range of challenging tasks, including board games, arcade games, and robot control. ...
This article presents a comprehensive survey of state-of-the-art methods for integrating EC into RL, referred to as evolutionary reinforcement learning (EvoRL). ...
In addition to adding noise in the parameter space, EC enables the introduction of action noise for off-policy RL algorithms. ...
arXiv:2303.04150v3
fatcat:57wfnw2mvbgmfj56kjfu3lcqvu
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
[article]
2020
arXiv
pre-print
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However, this requires manual tuning for each environment. ...
An evolutionary algorithm maximizes the sparse team-based objective through neuroevolution on a population of teams. ...
each agent 4: Define a white Gaussian noise generator W g random number generator r() ∈ [0, 1) 5: for generation = 1, ∞ do 6: for team π ∈ pop π do 7: g, R = Rollout (π, R, noise=None, ξ) 8: _, R = Rollout ...
arXiv:1906.07315v3
fatcat:45qh5okclffe5cz7sc2bjhfajm
An Evolutionary Game for Mobile User Access Mode Selection in sub-6 GHzmmWave Cellular NetworksN
2022
Zenodo
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., stochastic geometry (SG) and evolutionary game theory (EGT), in this paper, we study the problem of mobile user (MU) mode selection in heterogeneous sub-$6$ GHz/millimeter wave (mmWave) cellular networks ...
rate, and mobility-induced time overhead, for scenarios with user mobility{.} ...
Furthermore, we assume all wireless links exhibit additive white Gaussian noise with zero mean and variance σ 2 . ...
doi:10.5281/zenodo.5839557
fatcat:ihibk5bvendtndfanv6fgpufcu
An Evolutionary Game for Mobile User Access Mode Selection in sub-6 GHz/mmWave Cellular Networks
[article]
2022
arXiv
pre-print
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., stochastic geometry (SG) and evolutionary game theory (EGT), in this paper, we study the problem of mobile user (MU) mode selection in heterogeneous sub-6 GHz/millimeter wave (mmWave) cellular networks ...
rate, and mobility-induced time overhead, for scenarios with user mobility. ...
Furthermore, we assume all wireless links exhibit additive white Gaussian noise with zero mean and variance σ 2 . ...
arXiv:2201.03289v1
fatcat:pqmls7dbszbglg42i7irfeosni
User driven Multiclass Cell Association in 5G HetNets for Mobile & IoT devices
2019
IEEE Access
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The traditional cell association algorithms use signal-to-interference-plus-noise ratio metric. ...
However, this is not appropriate for 5G, especially with the reduction in the cells size and the growing number of the user equipment (UE) and the Internet-of-Things (IoT) devices. ...
For the communication channel, we assume a zero-mean additive white Gaussian noise with variance σ 2 0 inside every small cell as the only transmission distortion parameter in the network. ...
doi:10.1109/access.2019.2924521
fatcat:pq62itz4yrgq7ntx7yrnl4irge
On Optimizing VLC Networks for Downlink Multi-User Transmission: A Survey
[article]
2018
arXiv
pre-print
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point (AP) association and APs-to-clustered-users-association, APs coordination techniques, non-orthogonal multiple access (NOMA) VLC networks, simultaneous energy harvesting and information transmission ...
The evolving explosion in high data rate services and applications will soon require the use of untapped, abundant unregulated spectrum of the visible light for communications to adequately meet the demands ...
white Gaussian noise. ...
arXiv:1808.05089v1
fatcat:mchmobeisfbapcex6fclmwi5n4
2021 Index IEEE Transactions on Wireless Communications Vol. 20
2021
IEEE Transactions on Wireless Communications
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TWC Oct. 2021 6240-6253 + Check author entry for coauthors Noise and Additive White Gaussian Noise Environments. ...
Wang, N., +, TWC May 2021 3321-Noise and Additive White Gaussian Noise Environments. Oh, H., +, TWC MIMO Systems. ...
doi:10.1109/twc.2021.3135649
fatcat:bgd3vzb7pbee7jp75dnbucihmq
Intelligent Wireless Communications Enabled by Cognitive Radio and Machine Learning
[article]
2018
arXiv
pre-print
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We describe the state-of-the-art of relevant techniques, covering spectrum sensing and access approaches and powerful machine learning algorithms that enable spectrum- and energy-efficient communications ...
Under additive white Gaussian noise (AWGN), it is optimal given a known signal. ...
In [106] , a graphical game that describes channel selections for opportunistic spectrum access is proved to be a potential game and an NE, which minimizes the media access control (MAC) layer interference ...
arXiv:1710.11240v4
fatcat:elt77cgcxvappbxvspp7evb74u
Artificial Intelligence and Its Applications 2014
2016
Mathematical Problems in Engineering
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The input-output maps of a real nonlinear system studied were identified from an experimental data set corrupted by different outliers rates and additive white Gaussian noise. ...
They also introduced an additional control to resolve the difficulty arising from having fewer inputs than degrees of freedom. ...
Acknowledgments We would like to show our appreciation to all authors for their contributions and the reviewers for their effort providing ...
doi:10.1155/2016/3871575
fatcat:irj62qjsdzfu7h4fdslkgy5hny
Adaptive Clustering of Users in Power Domain NOMA
2023
Sensors
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, chosen for its evolutionary capacity, noise robustness and online processing. ...
By enabling multiple non-orthogonal transmissions, power domain non-orthogonal multiple access (PD-NOMA) potentially increases a system's spectral efficiency. ...
Acknowledgments: The authors thank the Laboratory of Parallel Architecture for Signal Processing (LAPPS) of the Federal University of Rio Grande do Norte (UFRN) for providing computational resources. ...
doi:10.3390/s23115314
fatcat:22iev7xa7jdzxdo3vru5kqcmju
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
[article]
2022
arXiv
pre-print
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To solve this problem, a new solution is proposed based on evolutionary-based deep reinforcement learning (EDRL) to accelerate and optimize the slice management learning process in the radio access network's ...
control was developed. ...
In (1), I n,k (t) denotes the downlink interference from the neighboring O-RUs transmitting over RB k, and σ 2 represents the variance of the additive white Gaussian noise (AWGN).
B. ...
arXiv:2208.14394v2
fatcat:stwo46rjyzff3lz2eccceaiowe
Welcome message from the General Chairs
2009
2009 International Workshop on Satellite and Space Communications
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Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%. ...
In this context we shall also develop a Gaussian Mixture Regression (GMR) model for the same problem. ...
Keywords: Evolutionary game on network, Prisoner's dilemma game, Network reciprocity, Strategy adaptation neighborhood. ...
doi:10.1109/iwssc.2009.5286448
fatcat:wcu4uzasizhzjmdkzyekynnqwi
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