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20082026
most citedOptimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

114 citations · 664 across the 92 of their papers we have counts for

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10 papers · 1 filter

cs.IT2020★ 6 cited

Fast Optimization with Zeroth-Order Feedback in Distributed, Multi-User MIMO Systems

Olivier Bilenne, Panayotis Mertikopoulos, E. Veronica Belmega

In this paper, we develop a gradient-free optimization methodology for efficient resource allocation in Gaussian MIMO multiple access channels. Our approach combines two main ingre…

cs.IT2016★ 40 cited

Distributed stochastic optimization via matrix exponential learning

Panayotis Mertikopoulos, E. Veronica Belmega, Romain Negrel +1

In this paper, we investigate a distributed learning scheme for a broad class of stochastic optimization problems and games that arise in signal processing and wireless communicati…

cs.IT2015★ 1 cited

Learning to be green: robust energy efficiency maximization in dynamic MIMO-OFDM systems

Panayotis Mertikopoulos, E. Veronica Belmega

In this paper, we examine the maximization of energy efficiency (EE) in next-generation multi-user MIMO-OFDM networks that evolve dynamically over time - e.g. due to user mobility,…

cs.IT2015★ 1 cited

Adaptive Power Allocation and Control in Time-Varying Multi-Carrier MIMO Networks

Ioannis Stiakogiannakis, Panayotis Mertikopoulos, Corinne Touati

In this paper, we examine the fundamental trade-off between radiated power and achieved throughput in wireless multi-carrier, multiple-input and multiple-output (MIMO) systems that…

cs.IT2015★ 1 cited

In an Uncertain World: Distributed Optimization in MIMO Systems with Imperfect Information

Panayotis Mertikopoulos, Aris L. Moustakas

In this paper, we introduce a distributed algorithm that optimizes the Gaussian signal covariance matrices of multi-antenna users transmitting to a common multi-antenna receiver un…

cs.IT2015

Cost-Efficient Throughput Maximization in Multi-Carrier Cognitive Radio Systems

Salvatore D'Oro, Panayotis Mertikopoulos, Aris L. Moustakas +1

Cognitive radio (CR) systems allow opportunistic, secondary users (SUs) to access portions of the spectrum that are unused by the network's licensed primary users (PUs), provided t…