A STOCHASTIC APPROXIMATION ALGORITHM FOR STOCHASTIC SEMIDEFINITE PROGRAMMING ⬇️

A continuous-time approach to online optimization

A novel dynamic network architecture model based on stochastic geometry and game theory

Accelerating population-based search heuristics by adaptive resource allocation

Adaptive Spectrum Management in MIMO-OFDM Cognitive Radio: An Exponential Learning Approach

Adaptive transmit policies for cost-efficient power allocation in multi-carrier systems

Auction-based resource allocation in OpenFlow multi-tenant networks

Convergence to nash equilibrium in continuous games with noisy first-order feedback

Correlated Anarchy in Overlapping Wireless Networks

Cycles in Adversarial Regularized Learning

Distributed Learning Policies for Power Allocation in Multiple Access Channels

Distributed Stochastic Optimization via Matrix Exponential Learning ⬇️

Distributed learning for resource allocation under uncertainty

Distributed optimization in multi-user MIMO systems with imperfect and delayed information

Distribution of MIMO mutual information: A large deviations approach

Dynamic Power Allocation Games in Parallel Multiple Access Channels

Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints ⬇️

Energy-Efficient Power Allocation in Dynamic Multi-Carrier Systems

Energy-aware competitive link adaptation in small-cell networks

Entropy-driven optimization dynamics for Gaussian vector multiple access channels

article

Hedging Under Uncertainty: Regret Minimization Meets Exponentially Fast Convergence

Higher order game dynamics

Imitation dynamics with payoff shocks

article

Inertial Game Dynamics and Applications to Constrained Optimization

article by Rida Laraki & Panayotis Mertikopoulos published January 2015 in SIAM Journal on Control and Optimization

Interference-Based Pricing for Opportunistic Multicarrier Cognitive Radio Systems

Learning in Games via Reinforcement and Regularization

article

Learning in an Uncertain World: MIMO Covariance Matrix Optimization With Imperfect Feedback ⬇️

Learning in games with continuous action sets and unknown payoff functions

Learning in the presence of noise

Learning to Be Green: Robust Energy Efficiency Maximization in Dynamic MIMO–OFDM Systems

Least action routing: Identifying the optimal path in a wireless relay network

scholarly article published October 2017

Living at the Edge: A Large Deviations Approach to the Outage MIMO Capacity

Matrix exponential learning: Distributed optimization in MIMO systems

Mirror descent learning in continuous games

Mixed-Strategy Learning With Continuous Action Sets

Neutral stability, drift, and the diversification of languages

No more tears: A no-regret approach to power control in dynamically varying MIMO networks

No regrets: Distributed power control under time-varying channels and QoS requirements

On the Convergence of Gradient-Like Flows with Noisy Gradient Input

On the robustness of learning in games with stochastically perturbed payoff observations

Online Interference Mitigation via Learning in Dynamic IoT Environments

Online Power Allocation for Opportunistic Radio Access in Dynamic OFDM Networks

Penalty-Regulated Dynamics and Robust Learning Procedures in Games

article

Power Optimization in Random Wireless Networks

Riemannian game dynamics

article

Riemannian-geometric optimization methods for MIMO multiple access channels

Stable Power Control in Wireless Networks via Dual Averaging

scientific article

Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities

article

The Asymptotic Behavior of the Price of Anarchy

The emergence of rational behavior in the presence of stochastic perturbations

Transmit without Regrets: Online Optimization in MIMO-OFDM Cognitive Radio Systems

article published in 2014

Vertical Handover between Wireless Standards

Vertical handover between wireless service providers