Signal Processing - March 2017 - 13

Scaling Up MiMo: opportunities
and Challenges with Very Large
Arrays
Rusek, F.; Persson, D.; Lau, B.K.;
Larsson, E.G.; Marzetta, T.L.; Edfors,
O.; Tufvesson, F.
In this article, the authors report that very
large multiple-input, multiple-output
(MIMO) offered the unique prospect
within wireless communication of saving an order of magnitude, or more, in
transmit power. This article points out a
fundamental challenge of a very large
MIMO system design and surveys some
related algorithms.
January 2013

ofdM versus filter Bank
Multicarrier
Farhang-Boroujeny, B.
This article addresses the shortcomings
of orthogonal frequency-division multiplexing in some applications and shows
that a filter bank multicarrier could be a
more effective solution.
May 2011

Super-Resolution image
Reconstruction: A Technical overview
Park, S.C.; Park, M.K.; Kang, M.G.
One promising approach to increasing
spatial resolution of an image is to use
signal processing techniques to obtain a
high-resolution image (or sequence)
from observed multiple low-resolution
images. This article introduces the concept of super-resolution algorithms to
readers who are unfamiliar with this area
and to provide the technical review of
various existing super-resolution methods for experts.
May 2003

Modulation formats and
Waveforms for 5G Networks:
Who Will be the Heir of ofdM?
An overview of Alternative
Modulation Schemes for improved
Spectral Efficiency
Banelli, P.; Buzzi, S.; Colavolpe,
G.; Modenini, A.; Rusek, F.; Ugolini, A.
This article provides a review of some
modulation formats suited to fifth-generation (5G) cellular communications,
enriched by a comparative analysis of their
performance in a cellular environment, and

Big data Analysis with Signal
Processing on Graphs:
Representation and Processing
of Massive data Sets With
irregular Structure

by a discussion of their interactions with
specific 5G ingredients.
November 2014

Modeling and optimization for Big
data Analytics: (Statistical) Learning
Tools for our Era of data deluge
Slavakis, K.; Giannakis, G.B.; Mateos, G.
This article contributes to the ongoing
cross-disciplinary efforts in data science, by
putting forth encompassing models, capturing a wide range of signal processing relevant data analytic tasks. It offers scalable
architectures and optimization algorithms
for decentralized and online learning problems, while revealing fundamental insights
into the various analytic and implementation tradeoffs involved. The close connections of the presented framework with
several big data tasks are highlighted.
September 2014

Locating the Nodes: Cooperative
Localization in Wireless Sensor
Networks
Patwari, N.; Ash, J.N.; Kyperountas,
S.; Hero, O.; Moses, R.L.; Correal, N.S.
This article provides a window into cooperative localization, which has found considerable applications in ad hoc and
wireless sensor networks. It presents measurement-based statistical models of time
of arrival, angle of arrival, and received
signal strength and uses them to generate
localization performance bounds. It also
surveys a large and growing body of
sensor localization algorithms. This article is intended to emphasize the basic statistical signal processing background,
necessary to understand the state-of-theart methods, and to make progress in the
new and largely open areas of sensor network localization research.
July 2005
IEEE SIgnal ProcESSIng MagazInE

March 2017

Sandryhaila, A.; Moura, J.M.F.
This article reviews fundamental concepts of discrete signal processing on
graphs, including graph signals and graph
filters, graph Fourier transform, graph frequency, and spectrum ordering, and compares them with their counterparts from
the classical signal processing theory. It
considers product graphs as a graph model
that helps extend the application to large
data sets through efficient implementation
based on parallelization and vectorization.
The article also relates the presented
framework to existing methods for largescale data processing.
September 2014

Communicating While Computing:
distributed Mobile Cloud Computing
over 5G Heterogeneous Networks
Barbarossa, S.; Sardellitti, S.; Lorenzo, P.D.
In this article, the authors proposed a system perspective of the next fifth-generation (5G) systems centered on the need to
empower energy-hungry mobile terminals with computation offloading capabilities via proximity to radio access
through small-cell base stations, endowed with cloud functionalities. They
also showed how the optimal resource allocation involves a joint allocation of radio
and computation resources, within a fully
cross-layer approach.
November 2014

Speaker Recognition by Machines
and Humans: A Tutorial Review
Hansen, J.H.L.; Hasan, T.
In this article, the authors review the literature on speaker recognition by machines and humans, with an emphasis
on prominent speaker-modeling techniques that have emerged in the last decade for automatic systems. They
conclude this review with a comparative
study of human versus machine speaker
recognition and attempt to point out
strengths and weaknesses of each.
November 2015
(continued on page 122)
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Table of Contents for the Digital Edition of Signal Processing - March 2017