Add to ORKGInternational audienceWe give a simple yet efficient Alternating Direction Method of Multipliers algorithm for solving sparse-modeling-based detectors [7, 9] for massive MIMO systems. Our solution relies on a special reformulation of the associated optimization problem by describing the constraints as a Cartesian power of the probability simplex. Simulation results show that the proposed algorithm is as accurate as the best known solvers (interior point methods), while its complexity remains linear with respect to the size of the system
Abstract — We consider the problem of target estimation in distributed MIMO radars that employ compr...
In this work we investigate the alternating direction method of multipliers (ADMM) for the solution ...
We propose a novel data detection algorithm and a corresponding VLSI design for large multi-user (MU...
International audienceWe give a simple yet efficient Alternating Direction Method of Multipliers alg...
Abstract In this letter, we propose an algorithm based on the alternating minimization technique to...
International audienceThis paper addresses the problem of decoding in large scale MIMO systems. In t...
International audienceWith a convenient concatenation of a convex relaxation-based detector and a si...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/87...
Abstract One of the 5G promises is to provide Ultra Reliable Low Latency Communications (URLLC) whi...
Maximum likelihood detection is infeasible in uplink multiuser massive multiple-input and multiple-o...
The alternating direction multiplier method (ADMM) was originally devised as an iterative method for...
International audienceMaximum-Likelihood (ML) joint detection has been proposed as an optimal strate...
International audienceThis paper focuses on low-complexity detection for large scale multiple-input ...
AbstractIn massive multiple input and multiple output (MIMO) systems the challenge is the detection ...
Abstract In this article, we propose a novel data detection algorithm and a corresponding VLSI desi...
Abstract — We consider the problem of target estimation in distributed MIMO radars that employ compr...
In this work we investigate the alternating direction method of multipliers (ADMM) for the solution ...
We propose a novel data detection algorithm and a corresponding VLSI design for large multi-user (MU...
International audienceWe give a simple yet efficient Alternating Direction Method of Multipliers alg...
Abstract In this letter, we propose an algorithm based on the alternating minimization technique to...
International audienceThis paper addresses the problem of decoding in large scale MIMO systems. In t...
International audienceWith a convenient concatenation of a convex relaxation-based detector and a si...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/87...
Abstract One of the 5G promises is to provide Ultra Reliable Low Latency Communications (URLLC) whi...
Maximum likelihood detection is infeasible in uplink multiuser massive multiple-input and multiple-o...
The alternating direction multiplier method (ADMM) was originally devised as an iterative method for...
International audienceMaximum-Likelihood (ML) joint detection has been proposed as an optimal strate...
International audienceThis paper focuses on low-complexity detection for large scale multiple-input ...
AbstractIn massive multiple input and multiple output (MIMO) systems the challenge is the detection ...
Abstract In this article, we propose a novel data detection algorithm and a corresponding VLSI desi...
Abstract — We consider the problem of target estimation in distributed MIMO radars that employ compr...
In this work we investigate the alternating direction method of multipliers (ADMM) for the solution ...
We propose a novel data detection algorithm and a corresponding VLSI design for large multi-user (MU...