Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Cavalcante, Renato Luis Garrido"'
We establish necessary and sufficient conditions for a network configuration to provide utilities that are both fair and efficient in a well-defined sense. To cover as many applications as possible with a unified framework, we consider utilities defi
Externí odkaz:
http://arxiv.org/abs/2304.07067
We derive a fast and optimal algorithm for solving practical weighted max-min SINR problems in cell-free massive MIMO networks. For the first time, the optimization problem jointly covers long-term power control and distributed beamforming design und
Externí odkaz:
http://arxiv.org/abs/2208.01385
We propose a novel algorithm to estimate the channel covariance matrix of a desired user in multiuser massive MIMO systems. The algorithm uses only knowledge of the array response and rough knowledge of the angular support of the incoming signals, wh
Externí odkaz:
http://arxiv.org/abs/2006.07007
We propose two algorithms that use both models and datasets to estimate angular power spectra from channel covariance matrices in massive MIMO systems. The first algorithm is an iterative fixed-point method that solves a hierarchical problem. It uses
Externí odkaz:
http://arxiv.org/abs/2005.14003
Publikováno v:
IEEE Trans. Signal Processing, vol. 67, no. 10, pp. 2747-2760, May 2019
In this study we establish connections between asymptotic functions and properties of solutions to important problems in wireless networks. We start by introducing a class of self-mappings (called asymptotic mappings) constructed with asymptotic func
Externí odkaz:
http://arxiv.org/abs/1903.09793
We derive novel bounds for the performance of algorithms that estimate the downlink covariance matrix from the uplink covariance matrix in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. The focus is on algorith
Externí odkaz:
http://arxiv.org/abs/1804.08461
We propose an adaptive scheme for distributed learning of nonlinear functions by a network of nodes. The proposed algorithm consists of a local adaptation stage utilizing multiple kernels with projections onto hyperslabs and a diffusion stage to achi
Externí odkaz:
http://arxiv.org/abs/1801.07087
We introduce a unified framework for the study of the utility and the energy efficiency of solutions to a large class of weighted max-min utility maximization problems in interference-coupled wireless networks. In more detail, given a network utility
Externí odkaz:
http://arxiv.org/abs/1610.01988
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Akademický článek
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