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检索条件"任意字段=International Conference on NETwork Games, Control and Optimization, NetGCooP 2011"

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11th international conference on network games, Artificial Intelligence, control and optimization, netgcoop 2024

11th International Conference on Network Games, Artificial I...

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11th international conference on network games, Artificial Intelligence, control and optimization, netgcoop 2024

ISBN: (纸本)9783031785993

The proceedings contain 13 papers. The special focus in this conference is on network games, Artificial Intelligence, control and optimization. The topics include: Radio Resource Allocation in 5G/B5G networks: A Dimension Reduction Approach Using Markov Decision Processes;On the Stability of DAG-Based Distributed Ledger with Heterogeneous Delays;performance Paradox of Dynamic Bipartite Matching Models;Active Nodes Maximization in a Virus Spread Model: An SI2R Malware Propagation Model;impact of Regulation and the Digital Markets Act on Competing Platforms;optimal Strategy Against Straightforward Bidding in Clock Auctions;fair Cost Sharing Under Platform Two-Sided Intermediation;tariff Versus Sanction Under Bounded Rationality;forecast Trading as a Means to Reach Social Optimum on a Peer-to-Peer Market;an optimization Setup of the Decarbonization Problem in the Transportation Sector;large Language Models Playing Mixed Strategy Nash Equilibrium games.

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10th international conference on network games, control and optimization, netgcoop 2020

10th International Conference on Network Games, Control and ...

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10th international conference on network games, control and optimization, netgcoop 2020

ISBN: (纸本)9783030874728

The proceedings contain 28 papers. The special focus in this conference is on network games, control and optimization. The topics include: Unlicensed Spectrum for Ultra-Reliable Low-Latency Communication in Multi-tenant Environment;spectrum Sharing Secondary Users in Presence of Multiple Adversaries;dynamic Bus Dispatch Policies;multi Objective Decision Making for Virtual Machine Placement in Cloud Computing;a Markovian Approach for Improving End-to-End Data Rates in the Internet;DNN Based Beam Selection in mmW Heterogeneous networks;A Bilevel Model for Centralized optimization of Charging Stops for EV on Highways;coordinated Scheduling Based on Automatic Neighbor Beam Relation;financial Replicator Dynamics: Emergence of Systemic-Risk-Averting Strategies;A Game-Theoretical Approach for Energy Efficiency in Multiuser MIMO System;impact of Private Observation in the Bayesian Persuasion Game;optimal Campaign Strategy for Social Media Marketing with a Contrarian Population;a Dynamic Game Formulation for control of Opinion Dynamics over Social networks;opinion Dynamics with Multi-body Interactions;modeling Limited Attention in Opinion Dynamics by Topological Interactions;optimal Pricing Approach Based on Expected Utility Maximization with Partial Information;price Formation and Optimal Trading in Intraday Electricity Markets;Distributed Static State Feedback control for DC Microgrids;design of a Combinatorial Double Auction for Local Energy Markets;Derivative-Free optimization over Multi-user MIMO networks;a Friendly Interference Game in Wireless Secret Communication networks;slow-Link Adaptation Algorithm for Multi-source Multi-relay Wireless networks Using Best-Response Dynamics;vaccination in a Large Population: Mean Field Equilibrium Versus Social Optimum;controlling Packet Drops to Improve Freshness of Information;maximizing Amount of Transferred Traffic for Battery Powered Mobiles.

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An optimization Setup of the Decarbonization Problem in the Transportation Sector 11th

An Optimization Setup of the Decarbonization Problem in the ...

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11th international conference on network games, control and optimization

作者： Couthures, Anthony Vogler, Prunelle Beaude, Olivier Lasaulce, Samson Morarescu, Irinel-Constantin Univ Lorraine CNRS CRAN F-54000 Nancy France EDF Lab Paris Saclay OSIRIS Dept Palaiseau France Khalifa Univ Abu Dhabi U Arab Emirates Tech Univ Cluj Napoca Automat Dept Cluj Napoca Romania

ISBN: (纸本)9783031785993;9783031786006

This paper proposes an optimization-based formulation of the decarbonization problem for the transportation sector, one of the main sources of CO2 emissions. An important feature of the proposed approach is that a detailed model is considered i.e., with different transportation modes and compositions of the associated fleets of vehicles. Using real data, this optimization problem is solved numerically under monetary and CO2 emissions constraints, but also constraints ensuring the feasibility of the transition. The obtained control actions provide insights into the transition from existing transportation modes to more sustainable ones. A discussion is made on the complexity of this problem: the dependency of resolution time on the budget values is in particular numerically assessed.

关键词： Decarbonization Non-convex Quadratic Programming Resource allocation

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A Bilevel Model for Centralized optimization of Charging Stops for EV on Highways 10th

A Bilevel Model for Centralized Optimization of Charging Sto...

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10th international conference on network games, control and optimization (netgcoop)

作者： Woznica, Anthony Quadri, Dominique Hayel, Yezekael Beaude, Olivier Univ Paris Sud Univ Paris Saclay LRI Bat 650 F-91405 Orsay France Univ Avignon 339 Chemin Meinajaries F-84911 Avignon 9 France EDF Lab Paris Saclay Palaiseau France

ISBN: (纸本)9783030874735;9783030874728

This paper addresses the multi-period problem of fixing the energy charging price at a set of charging stations deployed to support long journeys of electric vehicles along highways. In order to model the problem, we propose a non-linear bilevel program, in which the leader (a single centralized operator) fixes the charging price over the time horizon to maximize its profit and the follower (the operator of the electric vehicles) chooses the optimal assignment of the electric vehicles to the stations so to minimize a cost function. To solve the resulting model, we suggest to adopt an adaption of the Branch-and-Cut algorithm for Mixed Integer Linear Bilevel Programming proposed by Fischetti et al. (2018). Preliminary computational results are provided to show the interesting performance of the new modeling and algorithmic approach.

关键词： Electrical vehicles Bilevel programming Branch-and-Cut algorithm

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Derivative-Free optimization over Multi-user MIMO networks 10th

Derivative-Free Optimization over Multi-user MIMO Networks

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10th international conference on network games, control and optimization (netgcoop)

作者： Bilenne, Olivier Mertikopoulos, Panayotis Belmega, E. Veronica Univ Grenoble Alpes LIG Grenoble INP CNRSInria F-38000 Grenoble France CY Univ ETIS UMR 8051 CNRS ENSEA F-95000 Cergy France

ISBN: (纸本)9783030874735;9783030874728

In wireless communication, the full potential of multiple-input multiple-output (MIMO) arrays can only be realized through optimization of their transmission parameters. Distributed solutions dedicated to that end include iterative optimization algorithms involving the computation of the gradient of a given objective function, and its dissemination among the network users. In the context of large-scale MIMO, however, computing and conveying large arrays of function derivatives across a network has a prohibitive cost to communication standards. In this paper we show that multi-user MIMO networks can be optimized without using any derivative information. With focus on the throughput maximization problem in a MIMO multiple access channel, we propose a "derivative-free" optimization methodology relying on very little feedback information: a single function query at each iteration. Our approach integrates two complementary ingredients: exponential learning (a derivative-based expression of the mirror descent algorithm with entropic regularization), and a single-function-query gradient estimation technique derived from a classic approach to derivative-free optimization.

关键词： Derivative-free optimization Zeroth-order optimization Exponential learning MIMO systems Throughput maximization SPSA

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Slow-Link Adaptation Algorithm for Multi-source Multi-relay Wireless networks Using Best-Response Dynamics 10th

Slow-Link Adaptation Algorithm for Multi-source Multi-relay ...

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10th international conference on network games, control and optimization (netgcoop)

作者： Al Khansa, Ali Cerovic, Stefan Visoz, Raphael Hayel, Yezekael Lasaulce, Samson Orange Labs Chatillon France Avignon Univ LIA Avignon France CNRS CRAN Vandoeuvre Les Nancy France

ISBN: (纸本)9783030874735;9783030874728

In this paper, we propose a link adaptation algorithm for slow-fading half-duplex orthogonal multiple access multiple relay channel under a centralized node scheduling approach. During the first phase, the sources transmit in turn. During the second phase, a scheduled node (relay or source) transmits incremental redundancies on its correctly decoded source messages. The proposed algorithm aims at maximizing the average spectral efficiency under individual QoS targets for a given modulation and coding scheme family. The main principle of the algorithm is to reduce the complexity, and this is achieved using Best-Response Dynamics (BRD) tools. The rates are first initialized and then an iterative rate correction is applied. The resulting scheduling offers a tractable complexity under practical knowledge of channel states and yields performance close to the corresponding exhaustive search approaches as demonstrated by Monte-Carlo simulations.

关键词： Slow-link adaptation Best-response dynamics Multi-source multi-relay wireless network QoS target Spectral efficiency

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DNN Based Beam Selection in mmW Heterogeneous networks 10th

DNN Based Beam Selection in mmW Heterogeneous Networks

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10th international conference on network games, control and optimization (netgcoop)

作者： Jagyasi, Deepa Coupechoux, Marceau Inst Polytech Paris Telecom Paris LTCI Paris France

ISBN: (纸本)9783030874735;9783030874728

We consider a heterogeneous cellular network wherein multiple small cell millimeter wave (mmW) base stations (BSs) coexist with legacy sub-6GHz macro BSs. In the mmW band, small cells use multiple narrow beams to ensure sufficient coverage and User Equipments (UEs) have to select the best small cell and the best beam in order to access the network. This process usually based on exhaustive search may introduce unacceptable latency. In order to address this issue, we rely on the sub-6GHz macro BS support and propose a deep neural network (DNN) architecture that utilizes basic components from the Channel State Information (CSI) of sub-6GHz network as input features. The output of the DNN is the mmW BS and beam selection that can provide the best communication performance. In the set of features, we avoid using the UE location, which may not be readily available for every device. We formulate a mmW BS selection and beam selection problem as a classification and regression problem respectively and propose a joint solution using a branched neural network. The numerical comparison with the conventional exhaustive search results shows that the proposed design demonstrate better performance than exhaustive search in terms of latency with at least 85% accuracy.

关键词： Millimeter wave Beam selection Deep neural network Heterogeneous network sub-6GHz

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Financial Replicator Dynamics: Emergence of Systemic-Risk-Averting Strategies 10th

Financial Replicator Dynamics: Emergence of Systemic-Risk-Av...

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10th international conference on network games, control and optimization (netgcoop)

作者： Saha, Indrajit Kavitha, Veeraruna Indian Inst Technol IEOR Mumbai Maharashtra India

ISBN: (纸本)9783030874735;9783030874728

We consider a random financial network with a large number of agents. The agents connect through credit instruments borrowed from each other or through direct lending, and these create the liabilities. The settlement of the debts of various agents at the end of the contract period can be expressed as solutions of random fixed point equations. Our first step is to derive these solutions (asymptotically), using a recent result on random fixed point equations. We consider a large population in which the agents adapt one of the two available strategies, risky or risk-free investments, with an aim to maximize their expected returns (or surplus). We aim to study the emerging strategies when different types of replicator dynamics capture inter-agent interactions. We theoretically reduced the analysis of the complex system to that of an appropriate ordinary differential equation (ODE). We proved that the equilibrium strategies converge almost surely to that of an attractor of the ODE. We also derived the conditions under which a mixed evolutionary stable strategy (ESS) emerges;in these scenarios the replicator dynamics converges to an equilibrium at which the expected returns of both the populations are equal. Further the average dynamics (choices based on large observation sample) always averts systemic risk events (events with large fraction of defaults). We verified through Monte Carlo simulations that the equilibrium suggested by the ODE method indeed represents the limit of the dynamics.

关键词： Evolutionary stable strategy (ESS) Replicator dynamics Ordinary differential equation Random graph Systemic risk Financial network

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international conference on network games, control and optimization, netgcoop 2011

International Conference on NETwork Games, Control and Optim...

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international conference on network games, control and optimization, netgcoop 2011

ISBN: (纸本)9781467303842

The proceedings contain 39 papers. The topics discussed include: mean field linear quadratic games with set up costs;a multi-resolution large population game framework for smart grid demand response management;nonlinear estimation using mean field games;Markov decision evolutionary game for energy management in delay tolerant networks;hawks and doves in a dynamic framework;characterizing distribution rules for cost sharing games;stationary anonymous sequential games with undiscounted rewards;representation of finite games as network congestion games;utility-based resource allocations in multi-hop wireless networks;repeated games over networks with vector payoffs: the notion of attainability;sensor scheduling for hunting elusive hiding targets via whittle's restless bandit index policy;on load balancing equilibria in multiqueue systems with multiclass traffic;and revisiting collusion in routing games: a load balancing problem.

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2014 7th international conference on network games, control and optimization, netgcoop 2014

2014 7th International Conference on Network Games, Control ...

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7th international conference on network games, control and optimization, netgcoop 2014

ISBN: (纸本)9788884435743

The proceedings contain 38 papers. The topics discussed include: distributed learning algorithms for scheduling games in the future smart grid;finite-time behavior of log-linear learning in potential games;reduction of collisions and regret in time sharing schemes for opportunistic spectrum access;strategic posting times over a shared publication medium;multi-dimensional network security game: how do attacker and defender battle on parallel targets?;min-cost live webcast under joint pricing of data, congestion and virtualized servers;overcoming numerical instability in one-step policy improvement for admission and routing to queues with firm deadlines;self and social optimization in multi-class multi-server queueing systems with relative priorities;equilibrium and socially optimal arrivals to a single server loss system;altruism in groups: an evolutionary games approach;socially-aware interference mitigation game in body-to-body networks;on the optimal control of virus spread in networks;coordination of epidemic control policies: a game theoretic perspective;heterogeneous recovery rates against SIS epidemics in directed networks;and towards an economic model for mobile operators based on sensitivity to brand appeal and value added services.

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