74 citations · 152 across the 10 of their papers we have counts for
12 papers
Distributed Receivers for Extra-Large Scale MIMO Arrays: A Message Passing Approach
Abolfazl Amiri, Sajad Rezaie, Carles Navarro Manchon +1
We study the design of receivers in extra-large scale MIMO (XL-MIMO) systems, i.e. systems in which the base station is equipped with an antenna array of extremely large dimensions…
How URLLC can Benefit from NOMA-based Retransmissions
Radosław Kotaba, Carles Navarro Manchón, Tommaso Balercia +1
Among the new types of connectivity unleashed by the emerging 5G wireless systems, Ultra-Reliable Low Latency Communication (URLLC) is perhaps the most innovative, yet challenging…
A Message Passing Based Receiver for Extra-Large Scale MIMO
Abolfazl Amiri, Carles Navarro Manch'on, Elisabeth de Carvalho
We consider a massive MIMO system where the array at the access point reaches a dimension that is much larger than the array in current systems. Transitioning to an extremely large…
Hybrid Precoding for Massive MIMO Systems in Cloud RAN Architecture with Capacity-Limited Fronthauls
Jihong Park, Dong Min Kim, Elisabeth De Carvalho +1
Cloud RAN (C-RAN) is a promising enabler for distributed massive MIMO systems, yet is vulnerable to its fronthaul congestion. To cope with the limited fronthaul capacity, this pape…
A Traffic Model for Machine-Type Communications Using Spatial Point Processes
Henning Thomsen, Carles Navarro Manchón, Bernard Henri Fleury
A source traffic model for machine-to-machine communications is presented in this paper. We consider a model in which devices operate in a regular mode until they are triggered int…
Turbo-Equalization Using Partial Gaussian Approximation
Chuanzong Zhang, Zhongyong Wang, Carles Navarro Manchón +3
This paper deals with turbo-equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation-…
A Fast Iterative Bayesian Inference Algorithm for Sparse Channel Estimation
Niels Lovmand Pedersen, Carles Navarro Manchón Bernard Henri Fleury
In this paper, we present a Bayesian channel estimation algorithm for multicarrier receivers based on pilot symbol observations. The inherent sparse nature of wireless multipath ch…
Distributed Iterative Processing for Interference Channels with Receiver Cooperation
Mihai-Alin Badiu, Carles Navarro Manchón, Vasile Bota +1
We propose a framework for the derivation and evaluation of distributed iterative algorithms for receiver cooperation in interference-limited wireless systems. Our approach views t…
Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation
Niels Lovmand Pedersen, Carles Navarro Manchón, Dmitriy Shutin +1
Existing methods for sparse channel estimation typically provide an estimate computed as the solution maximizing an objective function defined as the sum of the log-likelihood func…
Message-Passing Algorithms for Channel Estimation and Decoding Using Approximate Inference
Mihai-Alin Badiu, Gunvor Elisabeth Kirkelund, Carles Navarro Manchón +2
We design iterative receiver schemes for a generic wireless communication system by treating channel estimation and information decoding as an inference problem in graphical models…
Receiver Architectures for MIMO-OFDM Based on a Combined VMP-SP Algorithm
Carles Navarro Manchón, Gunvor E. Kirkelund, Erwin Riegler +2
Iterative information processing, either based on heuristics or analytical frameworks, has been shown to be a very powerful tool for the design of efficient, yet feasible, wireless…
Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models
Niels Lovmand Pedersen, Carles Navarro Manchón, Mihai-Alin Badiu +2
In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have been used to model sparsity-inducing priors that realize a class of concave penalty functions for the regress…