Eduardo D. Castañeda

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We present in this work a low-complexity algorithm to solve the sum rate maximization problem in multiuser MIMO broadcast channels with downlink beamforming. Our approach decouples the user selection problem from the resource allocation problem and its main goal is to create a set of quasiorthogonal users. The proposed algorithm exploits physical metrics of(More)
In this paper, we tackle the problem of semidistributed user selection with distributed linear precoding for sum-rate maximization in multiuser multicell systems. A set of adjacent base stations (BSs) forms a cluster to perform coordinated transmission to cell-edge users, and coordination is carried out through a central processing unit (CU). However, the(More)
Remarkable research activities and major advances have been occurred over the past decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several transmission technologies and precoding techniques have been developed in order to exploit the spatial dimension so that simultaneous transmission of independent data streams reuse the same radio(More)
In this work we present a unified treatment on the most common metrics used in the utility function of state-of-the-art user selection algorithms for sum rate maximization in MISO systems under Zero-Forcing Beamforming. We present the way that such metrics are used to maximize the total sum rate and the relations held among each other. Via simulation we(More)
In this paper we present a low-complexity user selection algorithm for the downlink of a distributed antenna system (DAS) that achieves an optimum solution for a weighted matching problem. The user selection process is modeled as a linear sum assignment problem (LSAP). The proposed solution consists of two phases. In the first phase, a set of potential(More)
In this paper, we consider the downlink communication of an arbitrary number of transmitters over broadcast interference channels. In order to suppress interference, we investigate a network-level linear precoding scheme dubbed precoding reuse. Such a technique is leveraged on the interference alignment (IA) principle, where the undesired signals overlap in(More)
The maximization of the total sum rate depends on the proper power and modulation assignment. The feasibility of such resource assignment is susceptible to the set of links that are attempted to be scheduled. In this paper we address the problem of maximizing the sum rate while guaranteeing resource assignment feasibility in interference limited wireless(More)
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