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20132022
most citedA Parallel Stochastic Approximation Method for Nonconvex Multi-Agent Optimization Problems

112 citations · 910 across the 35 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

eess.SP2018

Iterative Marginal Maximum Likelihood DOD and DOA Estimation for MIMO Radar in the Presence of SIRP Clutter

Bruno Mériaux, Xin Zhang, Mohammed Nabil El Korso +1

The spherically invariant random process (SIRP) clutter model is commonly used in scenarios where the radar clutter cannot be correctly modeled as a Gaussian process. In this short…

eess.SP2018★ 16 cited

Interference Exploitation-based Hybrid Precoding with Robustness Against Phase Errors

Ganapati Hegde, Christos Masouros, Marius Pesavento

Hybrid analog-digital precoding significantly reduces the hardware costs in massive MIMO transceivers when compared to fully-digital precoding at the expense of increased transmit…

eess.SP2018

Energy Consumption Optimization in Mobile Communication Networks

Florian Bahlke, Marius Pesavento

This work addresses the challenge of minimizing the energy consumption of a wireless communication network by joint optimization of the base station transmit power and the cell act…

cs.LG2018★ 36 cited

Successive Convex Approximation Algorithms for Sparse Signal Estimation with Nonconvex Regularizations

Yang Yang, Marius Pesavento, Symeon Chatzinotas +1

In this paper, we propose a successive convex approximation framework for sparse optimization where the nonsmooth regularization function in the objective function is nonconvex and…

math.OC2018★ 7 cited

Joint Antenna Selection and Phase-Only Beamforming Using Mixed-Integer Nonlinear Programming

Tobias Fischer, Ganapati Hegde, Frederic Matter +3

In this paper, we consider the problem of joint antenna selection and analog beamformer design in downlink single-group multicast networks. Our objective is to reduce the hardware…

math.OC2018★ 21 cited

Energy efficiency optimization in MIMO interference channels: A successive pseudoconvex approximation approach

Yang Yang, Marius Pesavento, Symeon Chatzinotas +1

In this paper, we consider the (global and sum) energy efficiency optimization problem in downlink multi-input multi-output multi-cell systems, where all users suffer from multi-us…

eess.SP2018★ 47 cited

Optimized Cell Planning for Network Slicing in Heterogeneous Wireless Communication Networks

Florian Bahlke, Oscar D. Ramos-Cantor, Steffen Henneberger +1

We propose a cell planning scheme to maximize the resource efficiency of a wireless communication network while considering quality-of-service requirements imposed by different mob…